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Top 50 Machine Learning Software Companies Under $1M Revenue (August 2026)

As of August 2026, Latka tracks 1,134 machine learning software companies under $1M in annual revenue. They have combined revenues of $547.6M and employ 7.1K people. They have raised $591.3M and serve 621.3K customers combined.

Every company below sells machine learning 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 Machine Learning Software Companies do

Machine Learning Software encompasses tools and applications that enable systems to learn from data and improve their performance over time without explicit programming. These solutions often utilize algorithms and statistical models to analyze patterns, make predictions, and automate decision-making processes across various domains. Common use cases include predictive analytics, natural language processing, image recognition, and anomaly detection. Commonly adopted in sectors such as finance, healthcare, marketing, and IT, machine learning software is primarily used by data scientists, business analysts, and IT professionals. Typical features include data preprocessing, model training, evaluation, and deployment, which facilitate the integration of machine learning capabilities into existing workflows. By leveraging large datasets, organizations can enhance operational efficiency, improve customer experiences, and make better-informed strategic decisions.

Companies
1,134
Revenue
$547.6M
Funding
$591.3M
Employees
7.1K

Filters

Sorting: Highest -> Lowest

Filters

Top Machine Learning Software Companies Under $1M Revenue

Showing 10 of 1,134 companies ranked by annual revenue.

1EidoSearch logo
EidoSearch

Boston, Massachusetts, United States

Provider of a predictive analytics technology intended to provide a time series of data. The company's predictive analytics technology uses probability intelligence tool identifies data series from data set, search for multiple disparate patterns simultaneously, find similar conditions and provide relevant results, enabling businesses to get data-based intelligence to uncover opportunities and better estimation of risks.

Revenue
$991.3K
Year founded
2010
Team size
8
2nexaPDF logo
nexaPDF

Hamburg, Germany

At nexamind we build complex RAG applications for companies. The biggest challenge is a robust & scalable way to extract data from unstructured PDF documents. That is why we crafted nexaPDF.

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
4KushoAI 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
5Mantis logo
Mantis

United States

Mantis agent can process large volumes of administrative documents in unstructured formats, helping you organize them by performing validations, calculations, and data extraction. It enables the execution of tasks such as reconciliation, collection, balancing, and procurement. Mantis saves over 60% in operational costs, eliminates 90% of human errors, and executes processes 20 times faster.

Revenue
$990K
Team size
9
6Musubi logo
Musubi

Santa Barbara, California, United States

Musubi's AiMod is a first-of-its-kind trust & safety solution built on adaptive AI to defend online communities from scam, spam, and fraud. Rather than leverage general-purpose risk models, Musubi implements customer-specific AI models that use advanced AI and machine learning techniques, including large language models (LLMs) and generative AI, to understand complex behavioral signals and content patterns of malicious users. This allows Musubi to proactively identify and mitigate a wide range of issues, including spam, scams, fraud, hate speech, harassment, and age-inappropriate content.

Revenue
$990K
Year founded
2023
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
9Alli 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
10DocuBark logo
DocuBark

Chicago, Illinois, United States

DocuBark accelerates Third-Party Risk assessments by using GenAI and business logic to help TPRM teams review vendors faster and cut down SLAs. Why DocuBark? ✅ Answer Your Own Questionnaire – No more waiting days or weeks for vendors to respond—complete your security questionnaire using vendor documents instantly. ✅ Turnaround Vendor Assessments Faster – Reduce review times and process risk assessments with ease. ✅ Cut Down TPRM SLAs – Eliminate bottlenecks by speeding up vendor evaluations. ✅ AI-Powered SME Reviews – Leverage AI-driven business logic to ensure thorough, accurate risk insights. ✅ Get Ahead of Vendor Reviews – Stay proactive with streamlined, AI-driven assessments instead of falling behind.

Revenue
$990K
Year founded
2023
Team size
9

Frequently asked questions about Machine Learning Software Companies Under $1M Revenue

How many machine learning software companies under $1M in annual revenue are there?

Latka tracks 1,134 machine learning software companies under $1M in annual revenue. Together they generate $547.6M in annual revenue and employ 7.1K people.

Which machine learning software company under $1M in annual revenue is the largest?

EidoSearch is the largest, with $991.3K in annual revenue, founded in 2010.

How much revenue does a typical machine learning software company under $1M in annual revenue make?

The average machine learning software company in this list makes $482.9K a year, across 1,134 companies with reported revenue. They serve 621.3K customers combined.

Who are the leading Machine Learning software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are EidoSearch, nexaPDF, Osium AI, KushoAI and Mantis.

How much funding have machine learning software companies under $1M in annual revenue raised?

The 1,134 machine learning software companies under $1M in annual revenue tracked here have raised $591.3M in disclosed funding between them.

Related Artificial Intelligence Software categories

Inclusion Criteria

- Must provide tools for data preprocessing and model training - Should support both supervised and unsupervised learning methods - Must enable the deployment of trained models for real-world application - Should include analytics capabilities for model evaluation and performance tracking - Must cater to users such as data scientists, analysts, and software engineers - Not just for simple data visualization; must also enable predictive modeling and automation