The world has seen a remarkable surge in AI solutions and applications in the past few years.
A 2024 report reveals that there are 57,933 AI companies worldwide cutting across various sectors, and SaaS is leading the charge.
In the dynamic AI SaaS landscape, tech giants like Google and OpenAI are at the forefront of groundbreaking advancement.
On the other side of the divide, emerging startups are also weaving up strategic solutions to industry-specific problems, all contributing to an empowered and automated future.
But who are the top AI companies to watch out for in SaaS?
In this article, we took an in-depth view of 50 top AI SaaS Companies in the world. Exploring who they are and what solutions they bring to the table.
Let’s dig right in!
1. OpenAI
Year founded: 2015
Location: San Fransico, CA
Funding: $11.3 B
With a valuation of $157 billion (2024), OpenAI is undisputedly the biggest AI company in the world.
In November 2022, the SaaS company shook the internet with ChatGPT, which could do everything from writing fables and essays to solving math and coding computer programs.
As a sequel to that, the AI went viral as users shared their conversations with ChatGPT, showing what it could do.
One interesting fact about OpenAI models is their continual advancement, thanks to their cutting-edge research teams.
For example, the first GPT—which had 117 million parameters—was very limited in use case, and books were used to predict answers.
In contrast, the more recent ChatGPT4 has over 1.76 trillion parameters and can provide incredible insight from data and follow users’ intent more accurately.
OpenAI’s initial mission is to create an AI that would benefit humanity.
They started as a non-profit organization and only introduced a profit arm in 2019 to enable talent hiring and ensure equity, of which Microsoft owns 49%.
Today, this SaaS company boasts as one of the most profitable AI companies with monthly revenue of $300 million, which it earns from its over 250 million weekly user subscribers and from licensing its proprietary rights to other organizations.
Notable exits include Elon Musk, who co-founded the company and left in 2018 to find his path.
2. DeepMind
Year founded: 2010
Location: UK
Funding: $500M
Google DeepMind is one of the top machine learning SaaS companies and a pacesetter in ground-breaking AI implementation discoveries.
It’s the brain behind AlphaCode, which some software-as-a-service companies use to develop high-quality codes efficiently.
Early in 2024, the company showcased its landmark achievement, an AI that can solve complex maths problems at the level of Olympiad gold medalists. It’s called the Alpha Geometry model.
Meanwhile, their most popular innovation remains AlphaFold, which accurately predicts 3D models of up to 200 million proteins.
This has brought about faster drug formulation and better patient results. AlphaFold is also relevant in crop preservation.
3. Databricks
Year founded: 2013
Location: UK
Funding: $4B
With over 20 million monthly active users and several open-source platforms that unify people’s data, Databricks is one of the top AI data companies revolutionizing large data management.
Their AI platform includes business intelligence tools that allow companies to gain the most value from all their data while saving costs.
In addition to data services, the SaaS company has a strong influence on open-source Large Language Models (LLM).
In 2023, it bought an AI product that allows users to train and improve models with their own data, MosaicML, at $1.3 Billion.
Leveraging its data strength and MosaicML, Databricks developed one of the fastest open-source LLMs, DBRX.
This model can handle various tasks, like programming and mathematical reasoning, with superior scalability compared to other leading models.
Ultimately, Databricks is booming with revenue, with 140% Net recurring revenue and $2.4B in ARR.
4. Scale
Year founded: 2016
Location: San Francisco, CA
Funding: $13.8B
You can’t talk about the top AI data companies without giving this tech SaaS a slot on the table.
From starting up in a basement to achieving unicorn status, Scale is a success story in the AI SaaS landscape.
It is scaling the development of artificial intelligence applications by speeding up a crucial step in model training—data labeling.
The company was first known as a valuable machine learning SaaS provider to autonomous vehicle companies, where it analyzes and trains vast amounts of data for driving AI-powered cars.
Now, it provides data solutions for top SaaS companies like Meta, OpenAI, GitHub, and DeepMind.
Two ways Scale’s AI excels over other solutions are its ability to carry out large-scale data-labeling projects and its support for image annotation.
It also prides itself on creating data quality assurance, which is crucial in high-performing machine learning models and a good fit for fields where accurate predictions are paramount, such as healthcare, security, AR/VR hardware, robotics, and autonomous vehicles.
Over the years, the SaaS company has seen substantial growth with the increasing demand for data-labeling services.
Its valuation peaked at nearly $14B from 2021 to 2024, with a 4x surge in sales (almost $400 million) within the first half of 2024.
Their investors list includes tech giants like Amazon, Meta Platforms, and Accel, among 38 others.
5. Abridge
Year founded: 2018
Location: United Kingdom
Funding: $204M
Abridge is the first company to bring real-time AI-powered documentation to healthcare.
It has relieved doctors’ stress of note-taking while allowing them to harness the value in conversations held in consulting rooms.
Their AI SaaS product generates notes from patient-clinician conversations and organizes them in a way that is useful for patients and insightful for healthcare providers.
As one of the top AI companies, it has had a handful of partnerships, mostly with health organizations.
However, their latest is with tech giant Epic on an ambient workflow tool.
Other partnerships include the University of Vermont Health Network, UChicago Medicine, MemorialCare, Sutter Health, NVIDIA, UCI Health, the University of Kansas Health System, and Priority Health.
6. Anyscale
Year founded: 2019
Location: USA
Funding: $260M
Anyscale is one of the biggest AI companies in the world for democratized and open-source AI.
As the rat race of AI adoption ensues, new SaaS companies striving to catch up are often greeted with challenges like hiring experts and making market entries.
Anyscale ensures companies excel in AI projects by helping them speed up the process from documentation to training and experimentation with its open-source unified framework.
This allows budding startups to benefit from the same tools as big SaaS companies without spending heavily on them.
“We do the heavy lifting so that companies can focus on building their AI applications and getting them into production and seeing a return on their investments,” says CEO and co-founder Robert Nishihara.
Companies using Anyscale include prominent ventures such as NVIDIA, Instabase, and Rex Group.
7. Baseten
Year founded: 2019
Location: California
Funding:
Baseten is a key player in the accessibility landscape of AI infrastructure solutions.
Its goal is to accelerate the impact of artificial intelligence by eliminating most of the rigors of building AI tools and allowing companies to focus on problem-solving.
As you may have heard, building AI tools isn’t as difficult as it used to be, thanks to cheaper access to training models.
However, organizations face a big challenge in implementing them.
Basten offers a robust infrastructure to help businesses deploy machine learning models efficiently.
With an emphasis on cost-effective AI implementation, they have created a free program to prevent lag time in large language model setups.
They have also integrated the high-priced NVIDIA GPUS on their platform so that customers can access optimized inference infrastructure affordably.
Baseten’s platform is the end to common challenges with deploying AI, including scalability, cost efficiency, and expertise.
The company went public in 2022, raising $20 million on series A funding.
However, early adopters like Stanford, the University of Sydney, Cockroach Labs, and Patreon had begun using it a year before.
8. AssemblyAI
Year founded: 2017
Location: USA
Funding: $115M
AssemblyAI is a top performer among AI-as-a-service companies in audio intelligence.
Its API-based platform supports over 80 languages and offers services like automatic transcription, content moderation, sentiment analysis, and auto chapter creation.
With a strong commitment to innovation, the team continuously updates their APIs, keeping clients abreast of cutting-edge voice AI technology before it hits the market.
Many companies, including Spotify, CallRail, and Writer, rely on their API to quickly advance their AI models and AI-driven products and features.
While the general use case for AssemblyAI is for advancing audio models, developers can use it to perform strategic tasks, such as analyzing a podcast for prohibited content, at a cost as low as $0.00025 per audio second.
The company has raised $50 million in a late-stage funding series, showing strong investor confidence and financial support for expansion.
Since its start in 2017, it has recorded over 200,000 users.
9. Owkin
Year founded: 2016
Location: London
Funding: $$321M
Owkin is undoubtedly positioned as a top shot in medical AI, having solved the fundamental data privacy issue throbbing the AI health sector.
Its product uses federated AI technology, a concept that allows researchers to learn from data without compromising its privacy.
Leading cancer centers globally are leveraging Owkin’s technology to enhance diagnostic procedures, accurately predict patient outcomes, and scale personalized treatment, especially in the oncology department.
Its range of tools includes RlapsRisk, a diagnostic AI for evaluating breast cancer patients’ risks of relapse, and MSIntuit CRC, which has been approved for colorectal cancer diagnosis and treatment across the European Union.
In 2021, multinational pharmaceutical company Sanofi made an equity investment of $180 million in a strategic partnership in which Owkin’s technology predicts patient response to treatment in Sanofi’s oncology research on four types of cancers.
This not only positioned Owkin as one of the well-funded AI data analytics companies but also as a leader in modern medical research solutions.
See Also: 6 Benefits of AI in SaaS Solutions With Use Cases
10. Character.AI
Year founded: 2021
Location: USA
Funding: $193M
After 18 years at Google, Noam Shazier left to co-found a startup that would provide everyone on Earth with their personal AI assistants.
Character AI has brought a concept only seen in fictional movies to reality, where an AI provides everything a companion would, from entertainment to information to emotional connection.
It allows users to create different characters, from fictional to celebrity characters to completely original creations.
Today, the company boasts a massive client base of 20 million, with 18 million unique chatbots created by users.
In 2023, it generated $15.2 million in revenue after securing $150 million in series A funding led by Andreessen Horowitz.
Google remains its chief investor and has unexclusive access to its licensed technology.
11. Photoroom
Year founded: 2019
Location: Paris, France
Funding: $62.1M
From allowing users to easily create studio-quality pictures of their products to empowering businesses with photo-editing automation, Photoroom is a top machine learning SaaS AI company revolutionizing content creation.
With a current annual image processing rate of 5 Billion, photoroom boasts a remarkable userbase of 150 million downloads.
It has an all-inclusive tool suite, servicing users with basic editing needs, such as background changes, and customers with advanced photo needs, like HD quality edits, batch editing, smart resize, and more in their pro plan.
To top it off, its API is available for developers who want to include Photoroom’s features in their products.
Their last funding (series B) was in early 2024, raising $43 million and hitting a valuation of $500 million.
12. Cleanlab
Year founded: 2021
Location: California
Funding: $30M
In this fast-paced technology era, optimum data quality is a pursuit for AI developers, researchers, and businesses.
Cleanlab is one of the top data analytics SaaS companies revolutionizing data reliability with its no-code platform that automates data correction.
Top AI companies like OpenAI and Microsoft integrate Cleanlab AI to ensure the precision and integrity of their models.
The technology has found relevance across various sectors, including financial services, e-commerce, and more.
Beyond data correction, its artificial intelligence is effective in flagging low-quality images and accelerating data labeling.
For instance, it achieved 90% model accuracy at only 35% of the label spent in one use case.
However, Cleanlab’s breakthrough innovation remains the Trustworthy language model (TLM), which detects when large language models are hallucinating—a term that describes when AI gives incorrect results due to insufficient or biased data training.
Currently, it is recognized among the top AI companies by Forbes and CBInsights.
13. Cohere
Year founded: 2019
Location: Toronto, Canada
Funding: $970M
Founded by Google researchers, Cohere is a leading AI company fast-tracking artificial intelligence penetration into enterprises.
It offers businesses easy access to advanced large language model solutions by serving them in a user-friendly API and ensuring user data privacy.
The tech startup targets real-world business problems like end-to-end automation and customer support.
LivePerson, for instance, uses Cohere to augment its hundreds and thousands of employees and make them more efficient at customer service.
Oracle also partners with them in developing generative AI services to automate end-to-end business processes.
In 2022, Cohere introduced the first-ever multilingual artificial intelligence for understanding text in over 100 languages.
The company has gained significant traction from investors. Its partnerships include top AI companies like Google, Oracle, and Amazon.
It has gone through over six funding rounds, raising $942.9M, the latest being in July 2024.
14. Adept
Year: 2022
Location: Palo Alto, California
Funding: $415M
Adept is one startup causing traction in AI innovation, powering a novel class of artificial intelligence—Agentic AI—which uses software the way humans would.
Companies that use AI for automation now seek variants that make autonomous decisions and adapt to new situations instead of maintaining a rigid workflow.
The Adept AI tool comes in handy here. It helps businesses make the most optimized decisions in their workflow and execute tedious tasks by toggling between software programs.
Within two years of operation, it has already found applications across industries and piqued the interests of tech giants such as Amazon.
14. Cresta AI
Founded: 2017
Location: Palo Alto, California
Funding: $151M
Cresta emerges as a promising startup democratizing expert customer service for businesses.
Customer experience is explicitly crucial for conversion, and Cresta aims to help executives boost revenue through customer relationships without incurring the cost of training human agents.
As of February 2024, the company recorded an average of 25% higher revenue per lead.
Their solution thrives on AI-human collaboration, turning real-time conversations into real-time action to make the contact center smarter.
This ensures excellent customer interaction at scale.
15. Hugging Face
Location: Paris
Year: 2016
Funding: $396M
With over 1.2 million users sharing machine learning models and datasets on their platform, Hugging Face is speeding up the development of models worldwide by making cutting-edge innovation accessible to a broader audience.
In 2024, the company reported 1 million free downloadable models on its platform—arguably one of the best places to try out thousands of AI applications for free.
Over 50,00o organizations use hugging face, including top AI companies like Google, Microsoft, Writer, and Meta.
Meanwhile, the company is also making strong advancements in NLP.
One of its notable innovations is Hugging Chat Assistants, an open-source AI assistant maker and a competitor to OpenAI’s custom GPTs.
Also, in September 2024, the company collaborated with Meta’s No Language Left Behind open-source AI model, powering free text translation across 200 languages.
Despite its major innovation being free, the company has seen evasive growth since 2021.
Its last funding series raised $235 million and sent its valuation to $4.5 billion, with notable participation from Google, AWS, NVIDIA, and IBM.
16. Pecan
Location: Israel
Year: 2018
Funding: $116M
We cannot talk about top AI-powered marketing SaaS companies without mentioning the data analytic firehouse – Pecan AI.
It’s common knowledge that tech SaaS leaders utilize AI to maximize sales by predicting immediate and futuristic consumer behavior.
Pecan comes in handy here, generating over 30 million daily predictions that translate to billions of dollars in revenue for clients across different sectors.
In addition, its low-code platform has a predictive chatbot that guides users in describing their model needs and goals, while its predictive GenAI creates the models.
This makes it possible for customers to create custom models for high performance in specific use cases without needing data scientists.
17. Writer
Year Founded: 2020
Location: San Franscisco
Funding: $144M
As their name implies, Writer is pioneering a major technological shift from using codes to create applications to the written-text era of model creation.
As one of the top AI companies in generative AI creation, it has a full-stack platform that offers all the solutions for developing and deploying artificial intelligence applications.
With Writer, companies can highlight their unique use case and AI requirements, and the platform will develop customized artificial intelligence solutions that will achieve high-quality output for them.
Enterprises mostly use their product to revamp workflows amongst other applications like personalized customer interactions, content generation, and data analyses.
Recently, the company took its innovation to the moon, introducing a quick-create environment named Writer Framework.
This framework allows developers to create AI-powered applications quickly by dragging and connecting ready-made UI components.
If you’re a developer and you find this tool helpful, you may consider our complete guide on how to build an AI SaaS product in ten easy steps.
18. Pinecone
Year founded: 2019
Location: NewYork
Funding: $138M
Pinecone is one of the first AI solution companies to introduce the use of vector databases for scaling machine learning applications.
Vector database technology allows faster retrieval of information.
It has grown in popularity, as many AI companies, especially those handling high-dimensional data, are deploying it to accelerate the performance of their model.
Pinecone’s cloud-based vector database enables SaaS companies to connect their data to generative artificial intelligence models faster and more easily.
It distinguishes itself from other vector database competitions, offering its database on all three major cloud services—AWS, Microsoft Azure, and Google Cloud.
That’s not all. It recently introduced a bulk data import feature that allows users to move large data from one cloud to another and a software development kit that makes it easier for developers to integrate Pinecone into a workflow.
Being one of the foremost AI data companies, ideal use cases of Pinecone include search innovations like semantic search, audio recommendation systems, anomaly detections, and text generations.
19. Synthesia
Year founded: 2017
Location: London
Funding: $157M
Synthesia is a software-as-a-service AI company that makes quality video creation accessible to everyone.
Through its AI-powered video synthesis platform, users can create video content from plain text commands.
Synthesia has built-in avatars and AI voice features that users can leverage to facilitate captivating video outputs.
It can also create custom AI characters (which could be authentic personalized characters) and include natural backgrounds.
This is extremely useful in cases like tutorials or company meetings.
In 2024, the company made a remarkable update to its artificial intelligence, enabling it to understand a text’s sentiment and change its tone/facial expression to match it.
The platform can translate voice into 30 languages and has been adopted by over 55,000 businesses, including Heineken, Zoom, Dupont, and Electrolux.
20. IBM
Year Founded: 1911
Location: New York
Funding: $11.1B
It is safe to call IBM one of the biggest AI companies championing technological advancement for addressing real business problems.
In 2020, the giant hardware company announced its focus shift to hybrid cloud computing and artificial intelligence.
Then, it advanced to creating domain-specific solutions.
Consequently, IBM has outlined customer care, HR, and software development as three use cases where its GenAI solutions are mostly deployed.
Their product suite includes the popular IBM Watson AI analytic powerhouse, which serves over 100 million users worldwide and is a valuable tool for delivering some of the most accurate predictions across industries.
A prime use case for Watson is in supply chain management, where it helps businesses predict market disruptions to optimize inventory and avoid overstocking.
Another area of interest for IBM’s solution is healthcare.
Here, it developed a special model—Watson Health—that offers clinicians quick, actionable insight by interpreting medical data and suggesting personalized treatment plans.
21. Insistro
Year Founded: 2018
Location: San Francisco
Funding: $643M
Leveraging the innovative power of machine learning in Biotech, Insistro, a startup unicorn, has made tangible strides in drug development and disease diagnosis.
With their AI technology, healthcare personnel can identify biomarkers indicative of liver disease when it is still in its early stages.
This enhanced precision significantly improves patient outcomes by enabling early treatments.
In drug treatment formulation, the company helps pharma organizations avoid costly trials and errors by using machine learning to predict successful paths for medicine creation.
22. One
Year founded: 2021
Location: Israel
Funding: $333M
OneAI has built an ecosystem where businesses can gain access to state-of-the-art AI solutions.
Here, several artificial intelligence applications are featured on a single platform with a user-friendly interface.
Users can easily transition from creating quality content to image generation and even launch their own AI app.
This creates an agile and productive workplace.
Furthermore, as one of the leading AI-as-a-service companies, OneAI also offers lifetime access, which means companies using AI will not need to deal with juggling between paying numerous subscriptions.
It also automatically upgrades the apps on its platform to the latest version, ensuring businesses are on top of innovation with no extra cost.
Applications included on the One AI platform are Microsoft Copilot Pro, Stable Diffusion XL, ChatGPT 4, Gemini Pro, Dall-E 3, Leonardo AI, Meta Llama 3, and Google PaLM 2.
22. Perplexity
Year founded: 2022
Location: San Francisco
Funding: $415M
Perplexity is pushing the boundaries of generative chatbot AI technology and is emerging as a hybrid between search engines and conversational artificial intelligence.
While the platform is often viewed through the lenses of ChatGPT, Perplexity distinguishes itself from its contemporaries by offering real-time information retrieval from authoritative sites.
It also has the ability to organize searches into related information and source transparency, all for free.
By combining a multi-advanced language model, including GPT-4 and Claude-3, Perplexity has established a reputation for accurate, well-proven, citation-backed information.
Most users say they are dazzled by its ability to ask clarifying questions to grasp their query fully.
Another great feature is its contextual memory, i.e., it can remember and reflect previous conversations in response.
Moreover, the two-year-old startup has achieved immense growth despite being in the competitive GenAI landscape.
It is currently thriving with a network of 15 million monthly customers and has compelled the interest of tech whales like Jeff Bezos, NVIDIA, Databricks, and Bessemer Venture Partners, who are well vested in it.
As of mid-2024, the company was valued at $3 billion.
23. AlphaSense
Year founded: 2011
Location: SanFranscisco
Funding: $1.39B
AlphaSense is one of the top AI SaaS companies, empowering corporations across earnings, analyst company documents, broker research, and expert calls using its insight-tracking capabilities.
Financial firms and investment companies are marred by employees spending enormous amounts of time digging through numerous resources for information, of which a single oversight can put the company at billion-dollar risks.
This concern prompted Jack Kokk, AlphaSense CEO, to develop an AI Search Engine For Corporations.
The AI uses machine learning to digest billions of data points from thousands of sources, including proprietary data like Wall Street equity research.
Then, it leverages NLP technology to conduct human interactions.
It works similarly to Google search, except the result is tailored for business and finance professionals.
In 2021, it raised $180 million in a Series C round to support content availability for the thousands of organizations that use AlphaSense to make confident, intelligent decisions.
25. Moveworks
Year founded: 2016
Location: California
Funding: $315M
Move Works has developed an AI Copilot that enables a seamless workflow by empowering employees with easy access to information across all enterprise processes from a single platform.
It eliminates workplace friction by resolving issues using natural language understanding (NLU), probabilistic machine learning, and automation.
Top SaaS companies in business communication, such as Slack and Microsoft Teams, integrate Moveworks to support collaboration on their platforms.
Over the years, the company has evolved in its product offerings, finding relevance in use cases like IT support issues, HR support, internal communications, and supporting over 100 languages.
26. Codeium
Year founded: 2021
Location: United States
Funding: $243M
Codeium is an AI-powered coding accelerator toolkit that enhances developers’ productivity and efficiency.
It is similar to GitHub, but most developers rank it as the better alternative because its copilot is free, whereas that of GitHub is only open to premium users.
It features intelligent code completion, code snippet suggestions, and code explanation, which makes coding a breeze for developers.
To top it off, it supports over 70 programming languages and integrates with popular IDEs and web editors, including Visual Studio Code, Chrome, Safari, Edge, Mac OS, Windows, and Jupyter Notebooks.
This ensures optimum productivity for developers.
Unsurprisingly, Codeium has become a popular choice among developers from top institutions like Harvard, IBM, Stanford, and MIT, thanks to its affordability and wide language support.
As of 2024, it has over 1.75 million users trusting the platform for coding services.
27. Soundful
Year founded: 2019
Location: Western US
Funding: $3.8M
Artificial intelligence is a disruptive force affecting virtually every sector, and emerging AI companies like Soundful are ensuring the music industry is not left out.
It offers a cutting-edge AI music generator that creates a unique, royalty-free musical for musicians, video producers, social media influencers, video marketers, and even podcasts.
Soundful powers an exciting human-artificial intelligence collaboration by providing individuals access to the building blocks of music creation, empowering them to bring to life their creativity at scale.
The platform leverages music-trained algorithms and one of the largest original sound libraries ever built.
It offers free, premium, and pro plans, enabling users to get the right service that meets their needs.
With a game-changer technology that democratizes licensed-quality audio, Soundful has expectedly challenged the lower-quality music industry incumbent.
It has also attracted the interest of top music executives, artists, and investors, who have invested over $3.8 million in it so far.
28. Dialpad
Year founded: 2011
Location: Canada
Funding: $450M
Dialpad is a leading AI-powered customer intelligence SaaS platform built by industry experts from Google and Microsoft.
With its mission to drive more value from call conversation in business, Dialpad analyzes language for sentiment, summarises every conversation, recommends action points, and offers real-time coaching during live customer calls.
The AI also predicts customer satisfaction scores after every customer interaction.
Having helped over 30,000 brands and millions of people enhance customer satisfaction, unlock productivity, and maximize sales, the company launched the first Generative AI designed for enterprises—DialpadGPT.
DialpadGPT was remarkably built for over 5 years with 5 billion minutes of proprietary conversational data.
It automates tasks that help businesses understand their customers, including summarizing sales, customer service, and follow-up actions, making teams more productive.
The company surpassed $200M in annual recurring revenue (ARR) in 2023.
29. Uizard
Year founded: 2017
Location: Denmark
Funding: $18.6M
Uizard is a tech startup that provides cutting-edge AI-powered tools to help UI designers accelerate product creation.
The platform cuts down the hours incurred in manual prototyping by enabling designers to implement their sketches and wireframes into interactive prototypes in minutes.
With a user-friendly interface, Uizard supports expert designers and beginners and uses conversational text prompts to transform product ideas into tangible design elements.
30. Shield AI
Year founded: 2015
Location: USA
Funding: $1.1B
Shield AI is ranked amongst the most advanced AI companies, having invented the first autonomous AI pilot deployed in combat in 2018.
It focuses on using artificial intelligence systems to protect service members and civilians, utilizing drone amplifying technologies.
Its suite of products includes software that enables a single person to operate more than four drones and applications that empower drones to maneuver autonomously.
A familiar use case is drones entering a hostile building and sending their photos and maps to a unit of soldiers to help them navigate through.
31. Glean
Year founded: 2019
Location: NewYork
Funding: $560M
With a specialty in enterprise-grade AI, Glean has developed a platform with superb search abilities to make finding information across different systems in a company easy.
It aims to ease employees from rummaging through complex knowledge structures in search of what they need at work.
One cool tool in its office support suite is AI Answers, which can generate quick, concise answers to workers’ queries by scanning various sources within an organization.
In June 2023, they took innovation a step further, introducing Glean Chat, an enterprise-level chatbot that provides 24/7 support to users, answering their questions and creating new insights.
The tool sources data exclusively from information across a company’s knowledge base.
Interestingly, Glean happens to be one of the top AI companies to rank on CNBC disruptor list. It is currently valued at $4.6 billion.
32. Yellow.ai
Year founded: 2016
Location: California
Funding: $102.15 M
Yellow.ai is an AI SaaS company that promotes customers’ success for businesses at scale.
Formerly known as Yellow Messenger, it leverages natural language processing to automate every customer interaction, from inquiry and order processing to customer support.
This allows businesses to save time and spend less on human resources.
Beyond helping businesses tend to thousands of customers, Yellow AI ensures each customer receives a personalized experience by using machine learning to learn from previous interactions and predict behavioral patterns and needs.
This way, businesses can understand the preferences and needs of customers and reflect this in their interactions, leading to customer loyalty, which increases business revenue.
The SaaS company has made strategic partnerships with Microsoft and Salesforce, where it enhances its customers’ needs.
33. Sift Science
Year founded: 2011
Location: California
Funding: $208 M
As a named leader in Forrester Wave for Digital Fraud Management, Sift Science is bolstering customer-business trust by deflecting fraudulent activities before they occur.
The SaaS company uses advanced technology, including real-time ML via statistical patterns and new data stream implementation on a simple API that takes users a few minutes to set up.
This means businesses of any size can deploy Sift robust security products easily to protect themselves from cybercrimes and fraud.
To further expand on the research and development of their platform, Sift raised $17.5 million in Series A funding led by Google Venture in June 2024.
Their client’s portfolio includes leaders in aerospace, aviation, energy, and transportation, such as Astrolab, K2 Space, Parallel Systems, Astranis, Mach Industries, and True Anomaly.
34. Dataiku
Year founded: 2013
Location: USA
Funding: $600M
As an emerging AI company, Dataiku created an AI-powered data studio to help professionals and business startups transform data into useful insights within a few clicks.
It carries out data preparation, development, visualization, deployment, and even training of AI models.
As one of the fast-growing data Analytics SaaS companies, it has found a wide range of use cases, including in customer segmentation, fraud detection, and customer scoring (churn calculation, appetence scores, risk scores, etc.).
In 2021, Dataiku achieved unicorn status at a valuation of $4.6 billion after closing a round of $400 million. Currently, they employ more than 1,000 people worldwide.
35. Fireflies
Year Founded: 2011
Location: SanFrancisco
Funding: $19M
Fireflies, which supports 30+ languages, is an AI platform that can turn meeting conversations into structured notes and can be used to create insights to drive business growth.
Every meeting, from audio calls to interviews to conference web meetings on Zoom and other platforms, can be transcribed with Fireflies.
In addition, the platform is cloud-based, which means the employees of companies can access information from any device.
Fireflies AI is supported on Windows, Ubuntu, macOS, Linux, and even Andriod, with over 10 million users, including individuals, small businesses, and large enterprises.
36. Alyce
Year founded: 2015
Location: USA
Funding: $46.8 M
Giving gifts in a B2B setting is now easy and rewarding. Instead of letting you take wild guesses, Alyce leverages social data tracking of clients to help you decide the ideal gift for your customer.
Alyce is an AI SaaS company that helps businesses foster rapport with people who matter through personalized giftings.
In February 2024, Sendoso, the corporate gifting platform, announced its acquisition of Alyce, expanding its influence in the industry.
Alyce emphasizes how building meaningful connections with customers, prospects, and partners can translate to long-lasting business relationships.
Unlike conventional platforms, the AI-driven platform handles ordering, shipping, and reporting for up to 10,000 gift ideas.
37. Shift Technology
Year founded: 2014
Location: France
Funding: $320M
As one of the leading cybersecurity platforms, Shift Technology combines artificial intelligence with the latest mathematical algorithms to set up custom model solutions for specific business issues.
It has strong data science expertise, which it deploys to automatically identify potential fraudsters or cyber threats in every industry, with emphasis on eCommerce and insurance companies.
Shift Technology’s solutions are implemented in SaaS models and are accessible through their cloud platform.
Notably, its most recent innovation, Shift generative AI, which powers easy data recovery, was developed in partnership with Microsoft Azure OpenAI Service for Insurance.
The classic use case for the solution is in global insurance, where it helps insurers extract key information required to process policyholder claims with over 95% accuracy, enabling them to handle more volumes of claim progression.
38. C3.ai
Year founded: 2009
Location: California
Total Funding:
With over 100 enterprise AI applications in production, C3.ai is one of the leading SaaS AI companies in optimizing large-scale enterprise operations.
The key solutions offered by this SaaS company include supply chain optimization, customer engagement applications, and predictive maintenance solutions.
In one use case, its software carried out one of the largest deployments of predictive maintenance in the energy industry, where it monitored more than 10,000 pieces of equipment across a global asset base for Shell.
As one of the best AI companies in the world, C3.ai solutions are suited for energy, oil and gas, government, manufacturing, and financial services, amongst other industries.
39. Xor.ai
Year founded: 2016
Location: California
Total Funding: $8.4M
Xor is one of the AI solutions companies that makes challenging, time-consuming recruitment processes quick and straightforward.
The AI product deploys cutting-edge technologies like machine learning, artificial intelligence, chatbot systems, and hiring automation to streamline human resource workflow and ensure the best candidate is hired.
Its solution offering includes a chatbot that can handle candidate screening, respond to applicants’ questions, schedule interviews for a recruiter, stock the video interview record, and collect necessary candidate data and information—all automated.
40. Domino Data Lab
Year founded: 2013
Location: California
Total Funding: $223.6 M
Domino Data Lab is one of the best AI-powered data analytics SaaS companies that offers a complete suite for building, deploying, and maintaining AI models at scale.
It provides tech and data professionals access to data, tools, computing models, and projects.
With a mission to accelerate artificial intelligence’s impact, they research new models, create tools, and make them available to the AI community.
Above all, their community fosters collaboration and promotes responsible AI behaviors.
41. Domo
Year founded: 2010
Location: USA
Funding: $730M
As one of the top AI data analytics companies, Domo developed the first cloud-native platform to provide businesses with a holistic view of all business data for easy monitoring.
With a business intelligence tool like Domo, decision-makers can capitalize on new opportunities by viewing real-time data and analyzing new information immediately.
The app has a simple API that can be integrated into other applications for workflow automation and data scraping.
In 2017, Domo raised $200M, after which it went public in 2018 and was listed on the NASDAQ global exchange, offering 9,200,000 shares at $21.00 per share.
Interestingly, the company has been repeatedly applauded for hiring and retaining women in IT careers, being named a member of the Women Tech Council in 2024 for the seventh consecutive year.
42. Apptio
Year founded: 2007
Location: USA
Funding: $136M
Apptio is an IBM SaaS company that connects fellow SaaS tech companies with the best investment opportunities to drive better ROI and fuel innovation.
Through AI-driven insights, Apptio helps businesses with licensing, planning, and investments.
It does these while cutting unnecessary tech spending, accelerating forecasting cycles, and helping them quickly adapt to a challenging environment.
43. System1
Year founded: 2013
Location: USA
Funding: $270M
System1 is an emerging AI SaaS company in digital marketing that helps businesses maximize their marketing spending.
Its AI-powered platform churns user data and uses insight gained to deliver personalized marketing tailored to each prospect’s interests.
A remarkable offering on their platform is the use of artificial intelligence to predict the performance of an ad before it’s being pushed out.
As one of the leading AI-powered marketing SaaS companies, System1 has partnered with popular businesses like Pepsi, Lenovo, and KFC to improve ROI for marketing.
44. One Concern
Year founded: 2015
Location: USA
Funding: $117M
One Concern is amongst the top SaaS companies that facilitate preventive and corrective solutions to climate-related changes.
By Introducing ML and AI into natural phenomena science, the company has brought about a novel class of AI that can rapidly determine the damages to be incurred from an impending weather change, enabling leaders to fortify resilience to save lives and livelihoods.
One of their products, 1C Ready, can tell the impact of an earthquake after it strikes or predicts flood levels at a hyper-local level up to 72 hours before the storm hits to help authorities prepare for strategic responses.
Besides mitigating the risks of climate-related disasters, One Concern SaaS AI tools hold immense benefits for financial services, insurance, and commercial real estate, as they help them carry out risk analysis to determine the financial impacts of weather change.
It also helps mitigate business interruption risks across various industries.
45. H2O.ai
Year founded: 2015
Location: USA
Funding: $117M
H2O.ai, a machine learning SaaS company, is powering the quick execution of artificial intelligence imagination in a way that has never been seen before.
With its comprehensive suite of cloud-based computing resources and AI algorithms, businesses can analyze vast data, build predictive models, and have real-time access to actionable insight.
The company aims to make it possible for everyone to create AI solutions.
Hence, H2O.ai’s end-to-end solution is suited for building and handling data models and artificial intelligence applications more easily and quickly while maintaining expert accuracy.
One of their popular offerings, Driverless AI, accelerates model development and creation.
Driverless AI is so robust that it can analyze time series, giving users a deeper understanding of trends and patterns.
As a global leader in the artificial intelligence democratization movement, H2O.ai started a program, “AI for Good,” to support nonprofit groups, foundations, and communities to advance education, healthcare, and environmental conservation.
Being one of the leading data analytics SaaS companies, H2O.ai envisions an ecosystem where the world’s top data scientists and customers can co-create usable and valuable GenAI applications.
As it journeys towards pushing AI to the ends of the earth, the team implores others to join their movement.
They’ve grown a community of 2 million data scientists worldwide and aim to expand further across geographical and industrial lines.
45. Harvey
Year founded: 2022
Location: California
Funding: $206M
If you’ve watched the popular legal series Suits, the name Harvey Specter would surely ring a bell.
The exceptional lawyer’s name arguably inspired the brand name of this artificial intelligence solution.
Often referred to as “unprecedented legal AI,” Harvey is an AI platform suited for lawyers and law firms.
Harvey is built on OpenAI’s vast data model, GPT. Still, unlike ChatGPT, it is focused on only legalistic use cases like case research, drafting of proposals, finding legal precedents, due diligence, litigation, and contract review.
Over 10,000 lawyers rely on Harvey to offload tedious legal tasks, giving them more time for strategic problem-solving.
For organizational use cases, a company dataset is first fed into Harvey, making it perform optimally and uniquely for every firm.
The SaaS company was valued at $1.5B after its last funding series C, raised at over $100 M, was closed in 2024.
Elite law firms like Macfarlanes and British barristers Allen & Overy are on its clientele.
46. Adverity
Year founded: 2015
Location: London
Funding: $166M
Adverity is one of the pioneering AI technology companies for scaling data management and usage.
Their all-in-one data platform automates connectivity across different business sectors.
Leading brands like Forbes, Unilever, Bosch, IKEA, and Barilla, deploy their solution to consolidate data dispersed across sales, finance, advertising, marketing, and more so that they can make wholesome decisions and exercise robust data governance.
Ultimately, as one of the best AI data companies, Adverity helps businesses solve data unification and standardization problems efficiently, affording workers time to focus on more strategic business processes.
47. Ada
Year Founded: 2016
Location: Canada
Funding: $200M
Ada is one of the well-known AI software companies in the customer service landscape.
Like every other artificial intelligence customer experience platform, it is designed to automate customer interaction across emails, phone calls, chats, and SMS.
However, Ada takes this a step further through its pre-built model that allows businesses to create custom solutions according to what a company needs.
By connecting their knowledge sources to Ada, brands can teach Ada what it needs to know about their businesses, and with their drag-and-drop-based pre-built models, companies can create custom solutions within minutes.
The AI SaaS company aims to democratize excellent and trustworthy customer experience automation.
48. Oosto
Year founded: 2015
Location: Israel
Funding: $352M
Most companies that use AI for security rely on facial recognition as a fundamental touch-point for enabling secured access to certain devices and online accounts and generally safeguarding their infrastructure.
Formerly known as AnyVision, Oosto is an Israeli artificial intelligence tech company at the forefront of making facial recognition solutions super accessible to all.
It utilizes neural networks to extract actionable data from video feeds to give business leaders a holistic view of advanced security threats from anywhere.
Their solution is plug-and-play software, deployable in video surveillance.
It enables organizations to transform their passive cameras into powerful edge computing devices instead of relying on expensive on-premise servers to interpret the video streams.
Common use cases of Oosto include identifying security threats in customer onboarding, watchlist alerting, and crowd monitoring.
Also, companies can use it to keep track of customers in retail environments, identify priority customers, or find missing persons in large crowds.
In addition, Oosto boasts a powerful, AI-driven, and seamless-to-integrate web application, thanks to its partnership with one of the leading companies in web application development.
This partnership led to Oosto deploying CMARIX’s robust, scalable web application development software.
49. Blackbird.AI
Year founded: 2017
Location: USA
Funding: $32M
As one of the top new companies in specialized AI creation, Blackbird is pioneering a disruptive shift in how organizations protect themselves from the menaces of information attacks and propaganda.
Due to the universality of the internet, a single made-up post can become a harmful viral narrative in minutes, costing organizations good money and partnerships and terminating deals.
In fact, the World Economic Forum named misinformation and disinformation the top global risk in 2024.
Blackbird.AI is a SaaS company helping businesses keep their reputation intact in today’s noisy and manipulated digital ecosystem.
With its Narrative Intelligence Solutions, the artificial intelligence tech company can spot narratives affecting an organization or industry.
Further, it can identify the influencers or cohorts, networks, or communities, enabling those narratives so that they can mitigate the threats before they escalate.
The latest in its suite of innovations is Compass, an AI-powered context-checking product suited for anyone who needs context on social media or in the news to verify questionable information that is daunting on the internet.
50. ControlRooms
Year founded: 2021
Location: USA
Funding: $13.45M
Last but not least on our list of top AI technology companies is ControlRoom.
ControlRoom is one of the phenomenal SaaS software providers for industry-specific artificial intelligence applications.
As the name suggests, it automates control room troubleshooting for large facilities and industries to help them avoid sudden downtimes.
Troubleshooting in heavy industries is normal, but since most are handled manually, equipment failure detection occurs late, resulting in costly downtimes.
To avert this, ControlRoom utilizes machine learning to understand machinery behavior while tracking different markers in real time.
This allows it to notice any slight alteration before it becomes substantial for humans or alarms to detect.
Users report that ControlRooms can track 10,000 asset parameters in real time, such as pressures, volumes, and temperature.
Frequently Asked Questions (FAQ)
1. Who are the leading AI companies?
The leading AI companies in the world include OpenAI, DeepMind, Databricks, Scale, IBM, Cleanlab, and many more.
2. What companies are working on AI?
Some of the biggest SaaS companies working on AI are IBM, Creta AI, Sift Technology, AlphaSense, Pecan, and Synthesia.
3. Is Google a SaaS company
Yes, Google is one of the top enterprise SaaS companies with several products to its name. Some of these products include Google Workspace and Google Search Engine.
4. What are the fastest-growing artificial intelligence companies?
The fastest-growing AI companies in the world change over time because new ones are rising almost every now and then. However, Cohere, OneAI, Moveworks, Domo, and System1 are top emerging AI companies leading the chart.
