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Top 50 Deep Learning Software Companies With $1M–$5M Revenue (September 2026)

As of September 2026, Latka tracks 61 deep learning software companies with $1M–$5M in annual revenue. They have combined revenues of $127.5M and employ 1.3K people. They have raised $51.2M and serve 1K customers combined.

Every company below sells deep 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 Deep Learning Software Companies do

Deep Learning Software refers to a category of applications that leverage deep learning techniques to analyze data, automate processes, and derive insights. These tools use artificial neural networks to mimic human cognitive processes, allowing for complex computation and pattern recognition. Common use cases include image and speech recognition, natural language processing, and predictive analytics across various industries such as healthcare, finance, and technology. Typical features of deep learning software include data preprocessing tools, model training capabilities, performance optimization, and deployment functions. Users often span a wide range of professions, including data scientists, IT professionals, and analysts, who apply these technologies to derive actionable insights from large datasets. As the technology matures, industries are increasingly adopting these solutions to enhance decision-making processes and drive innovation in their operations.

Companies
61
Revenue
$127.5M
Funding
$51.2M
Employees
1.3K

Filters

Sorting: Highest -> Lowest

Filters

Top Deep Learning Software Companies With $1M–$5M Revenue

Showing 10 of 61 companies ranked by annual revenue.

1Jua logo
Jua

Schwyz, Switzerland

Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days. Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.

Revenue
$4.5M
Year founded
2022
Funding
$2.5M
Team size
41
2ZASTI logo
ZASTI

Virginia, Virginia, United States

ZASTI is an Artificial Intelligence (AI) technology platform that helps companies and their clients by predicting risks and improving business efficiency. This enables us to deliver tangible cost savings our customers and their clients. The technology platform is built using proprietary Deep Learning algorithms to provide predictive and diagnostic solutions. ZASTI analyses existing data, identifies anomalies and recurring usage patterns, and then delivers highly accurate predictions and diagnoses through specific vertical sector applications. For industrial users, ZASTI can cut down downtime by 50-70%, increase business efficiency by 20-30% or save 30% of OPEX.

Revenue
$4M
Year founded
2017
Team size
24
3Vuno logo
Vuno

Seoul, South Korea

Developer of a medical data analysis platform intended to improve medical disease diagnosis. The company's diagnostics platform utilizes the machine and deep learning algorithms to analyze patient imaging data and gain insights that help doctors diagnose diseases, enabling researchers and physicians to quickly and accurately identify diseases and illnesses.

Revenue
$3.9M
Year founded
2014
Funding
$15M
Team size
95
4Noetik logo
Noetik

South San Francisco, California, United States

Noetik is an AI-native biotechnology company that leverages advanced machine learning methods to discover and develop cancer immunotherapies.

Revenue
$3.9M
Year founded
2022
Team size
42
5Neural Concept logo
Neural Concept

Lausanne, Vaud, Switzerland

Developer of an artificial intelligence algorithmic platform designed to facilitate computer assisted engineering and design. The company's cloud-based platform accelerates and automates the engineering process for industrial companies using innovative, deep-learning algorithms, enabling businesses to speed up development cycles, enhance product performance and reduce computational costs.

Revenue
$3.6M
Year founded
2018
Funding
$143.1K
Team size
47
6Preteckt logo
Preteckt

Memphis, Tennessee, United States

Developer of a Prognostics as a Service (PaaS) platform designed to help trucking fleets to optimize their operations and minimize costs. The company's platform peers through vehicle data and leverages proprietary AI, deep learning and machine learning algorithms to detect servicing needs, predict charging system issue and emission system issues, enabling autonomous vehicle manufacturers and service providers to decrease their downtime, decrease their costs and run more efficiently.

Revenue
$3.6M
Year founded
2015
Funding
$6.4M
Team size
47
7Nexa AI logo
Nexa AI

San Jose, California, United States

Nexa AI (nexa.ai) is a Cupertino-based company specializing in on-device AI models and tools. Known for its Octopus-series models, Nexa AI offers powerful yet efficient solutions for edge device deployment, including function-calling, multimodality, and action-planning. With over 40,000 downloads on Huggingface, Nexa AI continues to innovate through its collaborations and drive advancements in on-device AI technology. Nexa AI's mission is to work with the global developer and research community to push the boundaries of on-device AI. The company has created an on-device model hub (nexa.ai) for sharing and collaborating on AI models and an SDK for streamlined AI application development. Nexa also provides enterprise solutions focused on privacy, efficiency, and multimodal AI agents for consumer electronics.

Revenue
$3.4M
Year founded
2023
Team size
31
8Heuritech logo
Heuritech

Paris, Ile-de-france, France

Developer of automatic real-time object recognition software intended to empower fashion brands to fuel creativity, produce more sustainably and improve profitability. The company's software uses deep learning to detect objects, shapes, textures and people from within any image or photo posted on social media and in he internet, enabling luxury and fashion providers to identify clothing trends and better serve its customers.

Revenue
$3.3M
Year founded
2013
Funding
$6.3M
Team size
50
9Pinpoint Predictive logo
Pinpoint Predictive

San Mateo, California, United States

Pinpoint Predictive provides P&C insurers the earliest and most accurate loss predictions and risk scores to fast-track profitable growth. Unlike traditional methods, Pinpoint’s platform leverages deep learning, proprietary behavioral economics data, and trillions of individual behavioral predictors to help insurers identify the risk costs associated with customers and prospects.

Revenue
$3.3M
Year founded
2015
Team size
22
10Knowledge logo
Knowledge

New York, NY, United States

Confidence is knowing your buyers are out there. Knowledge is finding them with pinpoint accuracy. The market isn’t just getting busier. It’s getting bigger, noisier, and more complex. With a vast data set consisting of both first and third-party intent data, Knowledge applies AI-driven deep learning analytics to cut through the crowds, saving you time and elevating your outreach to a new level of impact. Knowledge doesn't just highlight target audiences or identify demographics most likely to resonate with your messaging. We utilize powerful psychographic models composed from thousands upon thousands of data points, hand-delivering a bespoke rundown of individuals eager to see what you’ve got to offer. Simply put, it’s your opportunity to know your customer base better than they know themselves. Your best buyers are already looking for you. We’ll ensure you find them first. Partners & Investors: Google, ZoomInfo, and NVIDIA. "First vendor to engage a prospect and guide the solution evaluation process resulting in a 74% win rate.” - Forrester Research

Revenue
$3.2M
Year founded
2024
Team size
21

Frequently asked questions about Deep Learning Software Companies With $1M–$5M Revenue

How many deep learning software companies with $1M–$5M in annual revenue are there?

Latka tracks 61 deep learning software companies with $1M–$5M in annual revenue. Together they generate $127.5M in annual revenue and employ 1.3K people.

Which deep learning software company with $1M–$5M in annual revenue is the largest?

Jua is the largest, with $4.5M in annual revenue, founded in 2022.

How much revenue does a typical deep learning software company with $1M–$5M in annual revenue make?

The average deep learning software company in this list makes $2.1M a year, across 61 companies with reported revenue. They serve 1K customers combined.

Who are the leading Deep Learning software vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are Jua, ZASTI, Vuno, Noetik and Neural Concept.

How much funding have deep learning software companies with $1M–$5M in annual revenue raised?

The 61 deep learning software companies with $1M–$5M in annual revenue tracked here have raised $51.2M in disclosed funding between them.

Related Artificial Intelligence Software categories

Inclusion Criteria

- Must provide tools for building, training, and deploying deep learning models - Should include support for various data types, such as text, images, and audio - Must offer capabilities for model evaluation and performance metrics - Should enable integration with big data frameworks and cloud services - Not just focused on traditional machine learning; must specifically address deep learning methods - Must facilitate automation of repetitive tasks within the deep learning workflow - Should be suitable for use by professionals such as data scientists, engineers, and researchers