1
Anthropic
San Francisco, California, United States
AI research company that builds Claude, an AI assistant for tasks at any scale
- Revenue
- $65B
- Customers
- 300K
- Year founded
- 2021
- Funding
- $86.3B
- Team size
- 2.3K
- Growth
- 1200%
Top 10 Other AI Agents SaaS Companies (November 2026)
As of November 2026, Latka tracks 1,027 other AI agents SaaS companies. They have combined revenues of $124.7B and employ 50.5K people. They have raised $240.7B and serve 19.6M 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
- 1,027
- Revenue
- $124.7B
- Funding
- $240.7B
- Employees
- 50.5K
Filters
Sorting: Highest -> Lowest
Top Other AI Agents SaaS Companies by revenue
Showing 10 of 1,027 companies ranked by annual revenue.
- Revenue
- $50B
- Customers
- 2M
- Year founded
- 2015
- Funding
- $138.1B
- Team size
- 4.5K
- Growth
- 150%
- Revenue
- $1.4B
- Year founded
- 2011
- Team size
- 12.7K
4
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
- $1B
- Year founded
- 2023
- Funding
- $1.8B
- Team size
- 360
- Growth
- 1150%
5
Moonshot AI
Beijing, China
Moonshot AI is an artificial intelligence company that specializes in creating AI chatbots and utilizes large language models for various applications.
- Revenue
- $1B
- Year founded
- 2023
- Funding
- $1B
- Team size
- 80
- Growth
- 316.67%
6
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
- $750M
- Customers
- 15M
- Year founded
- 2022
- Funding
- $1.2B
- Team size
- 1.4K
- Growth
- 650%
7
Uniphore
Palo Alto, California, United States
Uniphore is the Business AI Company for the agentic enterprise. The Uniphore Business AI Cloud spans agents, models, knowledge, and data, combining the simplicity of consumer AI with the rigor, security, and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately, while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data. Built for the Enterprise, backed by AI Leaders Backed by NVIDIA, AMD, Snowflake, and Databricks, Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ, Infoworks, Orby AI, and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
- Revenue
- $500M
- Customers
- 150K
- Year founded
- 2008
- Funding
- $866.7M
- Team size
- 866
8
Shield AI
San Diego, California, United States
WHY WE COME TO WORK: At Shield AI, we come to work every day with a singular focus: to safeguard service members and innocent civilians using advanced artificially intelligent systems. We embrace bold ideas and strive to actualize what may currently seem unattainable. WHAT WE WORK ON: Shield AI is the hub of Hivemind, an innovative artificial intelligence that empowers robots to perceive, analyze, and explore their surroundings. Our flagship product, Nova, is a robot equipped with Hivemind technology that independently conducts building searches, transmitting live video feeds and mapping information to the user in real-time. WHO WE WORK WITH: Our exceptional team comprises scientists, engineers, and business visionaries who are united by our shared mission and mutual inspiration. HOW WE WORK TOGETHER: We enter each workday prepared to challenge the limits of technology and to foster a collaborative environment where innovation thrives. We believe in empowering individuals to innovate, serve, and develop indefinitely, without constraints. Our company is designed for individuals who embrace challenges and seek to make meaningful contributions. WHERE WE WORK: With locations in San Diego, CA, and Pittsburgh, PA, we offer stimulating projects, brilliant coworkers, supportive mentors, enjoyable work environments, and the opportunity to make a substantial impact through a purpose-driven mission.
- Revenue
- $267M
- Year founded
- 2015
- Funding
- $725M
- Team size
- 1.2K
- Growth
- 160.28%
9
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%
- Revenue
- $185.2M
- Customers
- 500K
- Year founded
- 2017
- Funding
- $400M
- Team size
- 1K
Frequently asked questions about Other AI Agents SaaS Companies
How many other AI agents SaaS companies are there?
Latka tracks 1,027 other AI agents SaaS companies with reported revenue. Together they generate $124.7B in annual revenue and employ 50.5K people.
Which other AI agents SaaS company is the largest?
Anthropic is the largest, with $65B 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 $121.4M a year, across 1,027 companies with reported revenue. They serve 19.6M customers combined.
Who are the leading Other AI Agents vendors?
Ranked by annual revenue, the leaders are Anthropic, OpenAI, iSON Xperiences, Cognition AI and Moonshot AI.
How much funding have other AI agents SaaS companies raised?
The 1,027 other AI agents SaaS companies tracked here have raised $240.7B 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.