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Top 50 AI & Machine Learning Operationalization (MLOps) Software Companies Under $1M Revenue (August 2026)

As of August 2026, Latka tracks 1,532 AI & machine learning operationalization (MLOps) software companies under $1M in annual revenue. They have combined revenues of $730.6M and employ 8.4K people. They have raised $237.6M and serve 760.3K customers combined.

Every company below sells AI & machine learning operationalization (MLOps) 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 AI & Machine Learning Operationalization (MLOps) Software Companies do

AI & Machine Learning Operationalization (MLOps) software refers to a suite of tools and practices designed to facilitate the deployment, monitoring, and management of machine learning models in production environments. These solutions aim to streamline the entire machine learning lifecycle, enabling teams to transition from model development to operationalization more efficiently. MLOps software addresses critical stages such as model training, versioning, and continuous integration/continuous deployment (CI/CD), allowing organizations to rapidly iterate and improve their models over time. The primary use cases for MLOps software span various industries, including healthcare, finance, and retail, where organizations apply machine learning to enhance decision-making, forecasting, and operational efficiency. Typical features of MLOps platforms include automated workflows, data management tools, and model performance monitoring, which help ensure that deployed models operate optimally. Common buyer personas typically include data scientists, machine learning engineers, IT operations teams, and project managers focused on leveraging AI technologies to drive business outcomes.

Companies
1,532
Revenue
$730.6M
Funding
$237.6M
Employees
8.4K

Filters

Sorting: Highest -> Lowest

Filters

Top AI & Machine Learning Operationalization (MLOps) Software Companies Under $1M Revenue

Showing 10 of 1,532 companies ranked by annual revenue.

1Mattermore logo
Mattermore

Brooklyn, New York, United States

Mattermore is an early-stage artificial intelligence startup building a copilot for business-to-business sales managers, with a focus on remote teams selling software-as-a-service products. The company was founded roughly one year before the November 2023 interview and remains pre-revenue, sustaining operations through consulting, coaching, and training work performed by co-founder Matt Shenker. The product is designed to aggregate data from CRM platforms, outreach tools, asynchronous communication channels such as Slack and Microsoft Teams, and call transcripts, then surface actionable guidance for sales managers. At the time of the interview, the company had a founding CTO newly on board and expected an internal MVP within two weeks, with a publicly accessible MVP projected six to nine months out. Mattermore reached its early beta user base through a structured discovery process, conducting six-week interview sprints with 100 sales teams per batch across four consecutive batches. The company has not yet asked beta users to pay and has not disclosed any funding round.

Revenue
$990K
Year founded
2023
Team size
9
2Darumatic Pty Ltd logo
Darumatic Pty Ltd

Sydney, New South Wales, Australia

AI Recruiter LinkedIn Automation for Recruiters. Get the most out of LinkedIn for finding candidates or new business. Automatically connect to new profiles, reach out to existing connections and use our automated messaging to validate interest and suitability of new candidates. The automation runs daily and will notify of any candidate or lead which have to follow up manually. Add AI Recruiter to your business, so you can hand-over outreach and validating leads and get more work done.

Revenue
$990K
Team size
9
3Osium AI logo
Osium AI

Paris, France

Speed up materials innovation with Artificial Intelligence

Revenue
$990K
Year founded
2023
Team size
9
4Genesis Computing logo
Genesis Computing

United States

Genesis Bots (a.k.a. Genbots) is a system for autonomous AI agents leveraging the BotOS agent operating system, running natively inside Snowflake’s Snowpark Container Services (SPCS). Genesis comes with pre-built bots including Janice, the Snowflake Janitor, who is designed to continuously optimize and secure your Snowflake cost and performance by identifying underused resources, enforcing security best practices, and delivering insights for better management. Eve, the mother of all Genbots, creates and monitors these AI agents, ensuring they function seamlessly. Genbots automate complex workflows and perform advanced analytics, enhancing enterprise productivity and efficiency.

Revenue
$990K
Year founded
2024
Team size
9
5KushoAI logo
KushoAI

United States

Kusho is an AI Agent for API testing. It generates an exhaustive test suite for your API in 2 minutes– just put in an API spec and get a host of functional tests covering real-world scenarios. Run these tests with AI-generated assertions in a single-click.

Revenue
$990K
Year founded
2023
Team size
9
6Linkup logo
Linkup

United States

Linkup is a search engine that empowers AI agents to seamlessly connect to the Internet. Our API enables AI systems to efficiently search and retrieve high-quality information from the web and exclusive premium content sources we partner with. Through integrations with trusted data partners, Linkup delivers superior search results with greater reliability and formats optimized specifically for large language models (LLMs). Linkup is used by AI developers to integrate fast, reliable, and fully compliant access to real-time data into their agentic workflows, enabling scalable and efficient Retrieval Augmented Generation (RAG) processes over the Internet.

Revenue
$990K
Team size
9
7Wayfound logo
Wayfound

SAN FRANCISCO, California, United States

Wayfound is your central hub to monitor and improve your AI Agents, so you can scale your AI strategy with confidence.

Revenue
$990K
Year founded
2023
Team size
9
8Planifi logo
Planifi

Boston, MA, United States

Planifi uses real-time data from your financial system, Planifi AI, and automated planning wizards to enable managers to update their plans in seconds. The result is that everyone will have the ability to visualize revenue, backlog & staffing demand by office, discipline, & more in real time.

Revenue
$990K
Year founded
2015
Team size
9
9Adsbot logo
Adsbot

İstanbul, Beyoğlu, Turkey

AI-powered way to optimize, and advertise. Adsbot is the best way to automate and optimize your campaigns. Simple and effective, it has no equal.

Revenue
$990K
Year founded
2019
Team size
9
10Alli AI logo
Alli AI

Rehoboth Beach, Delaware, United States

Revolutionizing enterprise SEO through AI-powered automation that delivers unprecedented scale and efficiency. Alli AI transforms how businesses optimize their search presence with a comprehensive suite of intelligent tools. Our enterprise-grade platform features: i) Bulk optimization engine for seamless large-scale SEO implementation ii) Live browser-based editor for instant SEO changes across any CMS iii) AI-driven site speed optimization reducing load times by up to 80% iv) Automated A/B testing for titles and meta descriptions that maximize CTR v) Intelligent schema markup generator for guaranteed rich results vi) Smart internal linking system for improved user engagement vii) Real-time rank tracking with location-specific insights From Fortune 500 companies to growing digital agencies, Alli AI eliminates technical barriers and manual workflows that slow down SEO success. Our point-and-click interface puts enterprise-level optimization capabilities at your fingertips, while our AI continuously fine-tunes your site's performance based on real user behavior. Break free from developer dependencies and complex CMS constraints. Join forward-thinking businesses leveraging Alli AI to dominate search rankings through intelligent automation.

Revenue
$990K
Year founded
2017
Team size
9

Frequently asked questions about AI & Machine Learning Operationalization (MLOps) Software Companies Under $1M Revenue

How many AI & machine learning operationalization (MLOps) software companies under $1M in annual revenue are there?

Latka tracks 1,532 AI & machine learning operationalization (MLOps) software companies under $1M in annual revenue. Together they generate $730.6M in annual revenue and employ 8.4K people.

Which AI & machine learning operationalization (MLOps) software company under $1M in annual revenue is the largest?

Mattermore is the largest, with $990K in annual revenue, founded in 2023.

How much revenue does a typical AI & machine learning operationalization (MLOps) software company under $1M in annual revenue make?

The average AI & machine learning operationalization (MLOps) software company in this list makes $476.9K a year, across 1,532 companies with reported revenue. They serve 760.3K customers combined.

Who are the leading AI & Machine Learning Operationalization (MLOps) software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Mattermore, Darumatic Pty Ltd, Osium AI, Genesis Computing and KushoAI.

How much funding have AI & machine learning operationalization (MLOps) software companies under $1M in annual revenue raised?

The 1,532 AI & machine learning operationalization (MLOps) software companies under $1M in annual revenue tracked here have raised $237.6M in disclosed funding between them.

Related Artificial Intelligence Software categories

Inclusion Criteria

- The software must provide capabilities for model deployment and management in production environments. - It should enable monitoring and maintenance of machine learning models post-deployment. - The solution must facilitate collaboration among data scientists and operations teams through streamlined workflows. - It should support version control and rollback features for models. - Not just a data analytics tool; must also offer integrated machine learning lifecycle management functionalities.