- Revenue
- $91.8M
- Year founded
- 2023
- Funding
- $6.4B
- Team size
- 1.5K
Top 50 Other AI Agents SaaS Companies With $10M–$100M Revenue (August 2026)
As of August 2026, Latka tracks 88 other AI agents SaaS companies with $10M–$100M in annual revenue. They have combined revenues of $2.5B and employ 15.9K people. They have raised $17.6B and serve 13.1M 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
- 88
- Revenue
- $2.5B
- Funding
- $17.6B
- Employees
- 15.9K
Filters
Sorting: Highest -> Lowest
Top Other AI Agents SaaS Companies With $10M–$100M Revenue
Showing 10 of 88 companies ranked by annual revenue.
2
Qubika
Austin, Texas, United States
Qubika helps businesses evolve from digital-native to AI-native. With 20 years of experience, we’re shaping the future of next-generation applications by seamlessly integrating high-quality UX, robust security, and AI-driven intelligence. Our expertise spans the data and AI lifecycle - from data engineering and AI agent development to cloud integrations and human-centric product design. We drive AI transformations via three core pillars: -- AccelerateAI. Qubika’s comprehensive, secure-first framework of best practices, workflows, and methodologies to power engineering with AI. -- Agentic Factory. Industry-specific AI agents and solutions for financial services, health & life sciences, and high-tech. -- Data Foundation. End-to-end data services to build the strong data infrastructure needed for AI transformations. Headquartered in Austin, Texas, we’re supported by multiple offices and delivery centers across the US and Latin America. In addition to our Select Level Databricks partnership, we’re also an AWS Advanced Tier partner, and collaborate closely with providers including GCP, Azure, and Snowflake. We’re SOC 2 Type 2 and ISO 27001 certified, and compliant with the NIST AI Risk Management Framework. Our expertise in AI and machine learning has been consistently recognized by the industry, including awards such as a top AI provider and top machine learning company from Clutch, a leading B2B research firm. Get in touch with our experts to learn more.
- Revenue
- $88M
- Team size
- 800
3
Xanadu
Toronto, Ontario, Canada
Xanadu is a leading photonic quantum computing and advanced artificial intelligence company headquartered in Toronto. Specializing in designing and integrating quantum silicon photonic chips into existing hardware systems, we are at the forefront of developing full-stack quantum computing solutions. By leveraging our innovative methods, we aim to address today's most challenging business dilemmas with unprecedented speed and efficiency. Our overarching goal is to pioneer the world's inaugural practical quantum computer. Our team is composed of exceptional individuals from diverse backgrounds who have converged to create something truly remarkable. For more information about our cutting-edge work, please visit us at xanadu.ai.
- Revenue
- $82.5M
- Year founded
- 2016
- Funding
- $203.8M
- Team size
- 299
- Revenue
- $75M
- Year founded
- 2022
- Funding
- $415M
- Team size
- 68
5
Devin AI
San Francisco, California, United States
The first AI software engineer. We are an applied AI lab building end-to-end software agents. We’re building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.
- Revenue
- $75M
- Year founded
- 2024
- Funding
- $196M
- Team size
- 84
6
Ada
Toronto, Canada
Ada's AI-powered platform enables enterprise businesses around the world to automate an incredible customer experience that saves time, reduces cost, and strengthens support. Our industry-leading clients like Telus, Upwork and Shopify, trust us to harmonize humans and AI to deliver instant, empathic, and effortless customer engagement.
- Revenue
- $70.6M
- Customers
- 5K
- Year founded
- 2016
- Funding
- $192.2M
- Team size
- 558
7
Laiye
Beijing, China
Laiye is the pioneer of the Work Execution System, a business and technology framework built around synergy between human and digital workers. Laiye’s software brings together in one platform the disparate tools businesses use to carry out digital tasks, such as Intelligent Document Processing(IDP), Conversational AI, Process Mining, Intelligent Automation and others. In addition, Large Language Models and Foundation Models will be leveraged in the design and use-case creation process, which will speed up development and time to value for customers. Built on the premise of an open ecosystem, Laiye helps businesses optimize the technologies they already have in place. Laiye is the first company in its industry to commit to returning 100% of licence fees should agreed business outcomes not be achieved. Learn more: www.laiye.com/en
- Revenue
- $70.2M
- Year founded
- 2015
- Team size
- 468
- Revenue
- $70M
- Year founded
- 2021
- Funding
- $900M
- Team size
- 155
- Growth
- 600%
9
Syntiant Corp
Irvine, California, United States
Syntiant is a leader in edge-AI deployments, bringing deep-learning to any device with industry-leading Neural Decision Processors and hardware-agnostic machine learning models.
- Revenue
- $62.7M
- Year founded
- 2017
- Team size
- 251
10
Figure AI
San Jose, California, United States
Figure is an AI Robotics company building the world's first commercially viable autonomous humanoid robot.
- Revenue
- $60M
- Year founded
- 2022
- Funding
- $1.9B
- Team size
- 400
Frequently asked questions about Other AI Agents SaaS Companies With $10M–$100M Revenue
How many other AI agents SaaS companies with $10M–$100M in annual revenue are there?
Latka tracks 88 other AI agents SaaS companies with $10M–$100M in annual revenue. Together they generate $2.5B in annual revenue and employ 15.9K people.
Which other AI agents SaaS company with $10M–$100M in annual revenue is the largest?
xAI is the largest, with $91.8M in annual revenue, founded in 2023.
How much revenue does a typical other AI agents SaaS company with $10M–$100M in annual revenue make?
The average other AI agents SaaS company in this list makes $28.2M a year, across 88 companies with reported revenue. They serve 13.1M customers combined.
Who are the leading Other AI Agents vendors with $10M–$100M in annual revenue?
Ranked by annual revenue, the leaders are xAI, Qubika, Xanadu, Adept AI and Devin AI.
How much funding have other AI agents SaaS companies with $10M–$100M in annual revenue raised?
The 88 other AI agents SaaS companies with $10M–$100M in annual revenue tracked here have raised $17.6B 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.