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Top 50 Other AI Agents SaaS Companies (October 2026)

As of October 2026, Latka tracks 1,043 other AI agents SaaS companies. They have combined revenues of $115B and employ 62.4K people. They have raised $250.8B and serve 31.6M 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
1,043
Revenue
$115B
Funding
$250.8B
Employees
62.4K

Filters

Sorting: Highest -> Lowest

Filters

Top Other AI Agents SaaS Companies by revenue

Showing 10 of 1,043 companies ranked by annual revenue.

1Anthropic logo
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
2OpenAI logo
OpenAI

San Francisco, United States

AI research and deployment company

Revenue
$40B
Customers
2M
Year founded
2015
Funding
$138.1B
Team size
4.5K
4Uniphore logo
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
5Cognition AI logo
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%
6sama.com logo
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
7Mistral AI logo
Mistral AI

Paris, France

Fast, open-source and secure language models

Revenue
$400M
Year founded
2023
Funding
$5.5B
Team size
350
Growth
300%
8Turing logo
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
9Innovaccer logo
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%
10Genspark Inc. logo
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 1,043 other AI agents SaaS companies with reported revenue. Together they generate $115B in annual revenue and employ 62.4K 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 $110.2M a year, across 1,043 companies with reported revenue. They serve 31.6M customers combined.

Who are the leading Other AI Agents vendors?

Ranked by annual revenue, the leaders are Anthropic, OpenAI, iSON Xperiences - Smarter Empathic AI, Uniphore and Cognition AI.

How much funding have other AI agents SaaS companies raised?

The 1,043 other AI agents SaaS companies tracked here have raised $250.8B 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.