Company lists · Data refreshed September 2026
Top 24 Feature engineering platforms based in the United States
RevenueBase identified 60 feature engineering platforms headquartered in the United States as of September 2026 and tracks 744 professional contacts across them, including 218 with verified work emails and 219 with mobile numbers. San Francisco is the largest hub.
This list covers feature engineering platforms headquartered in the United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, how directly it supports the match, and when it was last checked. Data refreshed September 2, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase SmartSearch, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 24 largest feature engineering platforms based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 87 | ||||
“AI/ML driven Data Transformation Platform, that provides quality, cost-effective and accelerated time to market solutions with augmented automation and associated services in the…” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 2 | 85 | ||||
“Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge products.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 3 | 83 | ||||
“Striveworks helps organizations get the most out of their investment in artificial intelligence.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 4 | 76 | ||||
“HumanSignal enables data science teams to build AI models with their company DNA.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 5 | 23 | ||||
“Your AI Data Scientist: Easily analyze, visualize and transform data” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 6 | 23 | ||||
“Building the modern, human-centric ML/AI infrastructure stack.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 7 | VisimoIndirect evidence | 15 | |||
“We help people envision what could be, and partner to create it.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 8 | VERTAIndirect evidence | 13 | |||
“Verta is a Palo Alto-based startup building software infrastructure to help enterprise data science and machine learning (ML) teams rapidly develop and deploy ML models.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 9 | 9 | ||||
“RocketML is a Super Fast Computational engine for Machine Learning.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 10 | OpenaimpIndirect evidence | 9 | |||
“OpenAIMP is the leader in AI and automatic machine learning.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 11 | 8 | ||||
“RapidFire AI speeds up deep learning at scale by 5x or more and enables data scientists to train and control multiple model configurations simultaneously for any data or model…” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 12 | 7 | ||||
“At Dataknobs, we are revolutionizing how data products are built, managed, and optimized.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 13 | wrench.aiIndirect evidence | 6 | |||
“Big data, deep learning, and machine learning scare and intimidate people-particularly business leaders who don’t have a background in those fields.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 14 | Looqup DataIndirect evidence | 6 | |||
“Amidst all the hype and the proverbial holy grail of use cases for generative AI, most enterprises across sectors still face a fundamental problem - integrating, analyzing and…” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 15 | Lightning ROD LabsIndirect evidence | 5 | |||
“Lightning Rod Labs helps enterprises make better decisions by turning raw operational data into compact domain experts that can be deployed in your own environment.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 16 | Qualetics Data MachinesPartial evidence | 4 | |||
“Qualetics provides a revolutionary AI platform that makes it easy for you to build Agentic AI solutions without using any code in minutes.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 17 | 3 | ||||
“Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 18 | 2 | ||||
“Kurve is an AI-powered developer tool that automates data discovery, featuring engineering, and interoperability management.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 19 | 2 | ||||
“Data Science Driven by Excellence We believe in the power of data to empower our insights, analyses and decisions.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 20 | 2 | ||||
“Putting state-of-the-art ML and generative AI into the hands of every business stakeholder.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 21 | 2 | ||||
“On a mission to democratize access to machine learning.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 22 | Positron NetworksIndirect evidence | 2 | |||
“Positron Networks leverages AI to automate model development, fine-tuning, and usage.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 23 | Market3geoIndirect evidence | 1 | |||
“Market3Geo wants to automate the way your business transforms data into insight.” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
| 24 | Mithrl INCIndirect evidence | 1 | |||
“Imagine if you could magically wipe out weeks of data pre-processing and cleaning, and run analyses, with just a click of a button?” Source: company website · checked Sep 2, 2026Thanks. The Data Team will review it. | |||||
Showing 24 of 60 feature engineering platforms based in the United States
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Feature engineering platforms based in the United States at a glance
As of Sep 2, 2026Companies by employee count
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among feature engineering platforms, so some rows will be adjacent to the category rather than pure plays. The description and evidence rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase SmartSearch, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in the United States whose own description of what they do matches “feature engineering platforms”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among feature engineering platforms, and records with no verified work email. Companies headquartered outside United States are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and an evidence rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 218 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 2, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
How many feature engineering platforms are there based in the United States?
RevenueBase identified 60 feature engineering platforms headquartered in the United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Dataswitch INC, headquartered in Lewes, tops this list with the largest team on record.
Which city has the most feature engineering platforms?
San Francisco leads with 7 headquartered companies, followed by Palo Alto (5) and Seattle (3).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 218 verified decision-maker contacts tracked across these 60 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 2, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase SmartSearch, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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