1
Anthropic
San Francisco, California, United States
AI research company that builds Claude, an AI assistant for tasks at any scale
- Revenue
- $47B
- Customers
- 300K
- Year founded
- 2021
- Funding
- $87.6B
- Team size
- 2.3K
- Growth
- 840%
Top 50 Other AI Agents SaaS Companies (August 2026)
As of August 2026, Latka tracks 1,046 other AI agents SaaS companies. They have combined revenues of $77.5B and employ 64.9K people. They have raised $260B and serve 31.5M customers combined.
Every company below sells other AI agents software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Other AI Agents SaaS Companies do
The Other AI Agents category encompasses a range of software solutions that utilize artificial intelligence to perform tasks typically requiring human agents. These solutions are designed to enhance productivity and efficiency across various industries by automating processes, providing data insights, and supporting decision-making. Use cases vary widely, including customer service automation, personalized recommendations, and administrative task management such as invoicing and scheduling. Key features of Other AI Agents include natural language processing capabilities for effective communication, machine learning algorithms for predictive analytics, and integration with other enterprise systems to streamline workflows. Typically, users of these solutions include business operations teams, customer service departments, HR functions, and financial organizations, all of which leverage AI agents to optimize performance and reduce manual workloads.
- Companies
- 1,046
- Revenue
- $77.5B
- Funding
- $260B
- Employees
- 64.9K
Filters
Sorting: Highest -> Lowest
Top Other AI Agents SaaS Companies by revenue
Showing 10 of 1,046 companies ranked by annual revenue.
- Revenue
- $20B
- Customers
- 2M
- Year founded
- 2015
- Funding
- $138.4B
- Team size
- 4.5K
3
iSON Xperiences - Smarter Empathic AI
Dubai, Dubai, United Arab Emirates
AI Transformed. Empathy Enabled.
- Revenue
- $1.4B
- Year founded
- 2011
- Team size
- 12.7K
4
Perplexity
San Francisco, California, United States
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
- Revenue
- $500M
- Customers
- 15M
- Year founded
- 2022
- Funding
- $1.2B
- Team size
- 1.4K
- Growth
- 400%
5
Cognition AI
San Francisco, California, United States
Cognition AI is an applied AI lab focused on building end-to-end software agents that act as collaborative AI teammates.
- Revenue
- $492M
- Year founded
- 2023
- Funding
- $1.8B
- Team size
- 360
- Growth
- 515%
6
sama.com
San Francisco, California, United States
Sama is the global leader in ethical data annotation and model evaluation solutions for computer vision, generative AI and other major applications of artificial intelligence. Our solutions minimize the risk of model failure and lower the total cost of ownership through an enterprise ready ML-powered platform, actionable data insights uncovered by proprietary algorithms, and a highly skilled on-staff team of over 5,000 data experts. 25% of Fortune 50 companies, including GM, Ford, Microsoft and Google, trust Sama to help deliver industry-leading ML models. Ethical AI is responsible AI, and as a Certified B-Corp, we’ve pioneered an impact model that harnesses the power of markets for social good, and has been proven to meaningfully improve employment and income outcomes for those with the greatest barriers to formal work. So far, helping more than 65,000 people lift themselves out of poverty.
- Revenue
- $470.6M
- Year founded
- 2008
- Team size
- 4.3K
- Revenue
- $400M
- Year founded
- 2023
- Funding
- $5.5B
- Team size
- 350
- Growth
- 300%
8
Turing
Palo Alto, California, United States
Turn AGI research into real-world impact. Advance AI from research to enterprise scale. Deliver measurable outcomes with cutting-edge intelligence.
- Revenue
- $300M
- Year founded
- 2018
- Funding
- $249M
- Team size
- 4.3K
9
Innovaccer
San Francisco, California, United States
Innovaccer enhances healthcare software with intelligence, aiming to empower providers with data for better care. It offers a Data Activation Platform, AI Engine, and AI-powered agents/co-pilots, and a Healthcare Intelligence Platform that transforms fragmented healthcare data into actionable insights.
- Revenue
- $252M
- Year founded
- 2014
- Funding
- $731.6M
- Team size
- 1.7K
- Growth
- 93.85%
10
Genspark Inc.
Palo Alto, California, United States
An AI Agent engine where specialized AI agents perform research and generate custom pages called Sparkpages. Free from biases and SEO-driven content, Sparkpages synthesize trustworthy information, offering more valuable results and saving users time.
- Revenue
- $250M
- Customers
- 1K
- Year founded
- 2023
- Funding
- $535M
- Team size
- 41
- Growth
- 400%
Frequently asked questions about Other AI Agents SaaS Companies
How many other AI agents SaaS companies are there?
Latka tracks 1,046 other AI agents SaaS companies with reported revenue. Together they generate $77.5B in annual revenue and employ 64.9K people.
Which other AI agents SaaS company is the largest?
Anthropic is the largest, with $47B in annual revenue, founded in 2021.
How much revenue does a typical other AI agents SaaS company make?
The average other AI agents SaaS company in this list makes $74.1M a year, across 1,046 companies with reported revenue. They serve 31.5M customers combined.
Who are the leading Other AI Agents vendors?
Ranked by annual revenue, the leaders are Anthropic, OpenAI, iSON Xperiences - Smarter Empathic AI, Perplexity and Cognition AI.
How much funding have other AI agents SaaS companies raised?
The 1,046 other AI agents SaaS companies tracked here have raised $260B in disclosed funding between them.
Related AI Agents categories
Inclusion Criteria
- The product must utilize artificial intelligence to automate tasks or enhance processes. - It should include features such as natural language processing or predictive analytics. - The software must be capable of integrating with existing business systems or tools. - The primary use case should focus on improving operational efficiency or decision-making. - Not limited to just one function; must support multiple workflows across departments.