Company lists · Data refreshed September 2026

Top 9 Machine learning startups impacting spacetech companies based in the United States

RevenueBase identified 26 machine learning startups impacting spacetech companies headquartered in the United States as of September 2026 and tracks 1,189 professional contacts across them, including 232 with verified work emails and 108 with mobile numbers. New York is the largest hub.

This list covers machine learning startups impacting spacetech companies 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, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 5, 2026.

Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, 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.

How to read this list HQ checked on every row RevenueBase Smart Search rating on every row Refreshed Sep 5, 2026 86% judged on-target in blind review
26Companies
1,189Contacts tracked
232Verified emails
108Mobile numbers
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The 9 largest machine learning startups impacting spacetech companies based in the United States

Ranked by team size
Top 9 of 26 machine learning startups impacting spacetech companies based in the United States, ranked by team size, largest first. Data refreshed Sep 5, 2026. RevenueBase Smart Search rates how each company's information relates to machine learning startups impacting spacetech companies: strong evidence (its own description names it), partial (names part of it), indirect (matched on the rest of its profile rather than the description shown). Click a contact count to view that company's people.
#CompanyRevenueBase Smart SearchHeadquartersEmployeesContacts
1Indirect evidenceNew York, NY, United StatesHQ checked Sep 5, 20261,001-5,000977 contacts →

Indirect evidence

“provides ML data operations support with Human-in-the-loop for LLMs and autonomous systems, focusing on AI/ML model training and annotation services.”

Source: RevenueBase Database · checked Sep 5, 2026
2Indirect evidenceHouston, TX, United StatesHQ checked Sep 5, 202651-20080 contacts →

Indirect evidence

“SynMax is an innovative data analytics company dedicated to providing actionable intelligence to its customers and bringing transparency to traditionally opaque industries.”

Source: RevenueBase Database · checked Sep 5, 2026
3Indirect evidenceLouisville, CO, United StatesHQ checked Sep 5, 202611-5049 contacts →

Indirect evidence

“At EOI Space, we like to challenge the status quo and believe the path to a better tomorrow is in working smarter-not harder.”

Source: RevenueBase Database · checked Sep 5, 2026
4Strong evidenceMontpelier, VT, United StatesHQ checked Sep 5, 20261-1013 contacts →

Strong evidence

“Deep Analytics LLC is a machine learning and sensor development startup in Montpelier, Vermont.”

Source: RevenueBase Database · checked Sep 5, 2026
5Indirect evidenceNew York, NY, United StatesHQ checked Sep 5, 20261-107 contacts →

Indirect evidence

Source: RevenueBase Database · checked Sep 5, 2026
6Indirect evidenceSunnyvale, United StatesHQ checked Sep 5, 20261-106 contacts →

Indirect evidence

“Our streamlined AI powered platform is pre-trained for space manufacturing.”

Source: RevenueBase Database · checked Sep 5, 2026
7Strong evidenceGaithersburg, MD, United StatesHQ checked Sep 5, 20261-106 contacts →

Strong evidence

“At CUS-GNC, we are revolutionizing spacecraft attitude and orbit control through cutting-edge machine learning.”

Source: RevenueBase Database · checked Sep 5, 2026
8Indirect evidenceHouston, TX, United StatesHQ checked Sep 5, 20261-102 contacts →

Indirect evidence

“ARUSHA SPACE, LLC is a pioneering aerospace company dedicated to revolutionizing space missions with intelligent and trusted AI systems, enabling autonomous exploration, real-time…”

Source: RevenueBase Database · checked Sep 5, 2026
9Indirect evidenceSan Diego, CA, United StatesHQ checked Sep 5, 20261-101 contacts →

Indirect evidence

“You didn’t launch into the space industry to chase grants, pitch investors, or post content that doesn’t convert.”

Source: RevenueBase Database · checked Sep 5, 2026

Showing 9 of 26 machine learning startups impacting spacetech companies based in the United States

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Machine learning startups impacting spacetech companies based in the United States at a glance

As of Sep 5, 2026
19.5%Verified-email coverage
9.1%Mobile-number coverage
45.7Average contacts per company
1-10Median size (employees)
11.5%Largest-city concentration · New York
Sep 5, 2026Page data refreshed

Companies by employee count

1-10
22
11-50
2
51-200
1
1,001-5,000
1

Freshness & accuracy

How recently the business emails on this list were verified

Email last verified

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 machine learning startups impacting spacetech companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search 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 Smart Search, 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 “machine learning startups impacting spacetech companies”. Matching reads each company's description, not its industry code or its name.
RevenueBase Smart Search
RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning startups impacting spacetech companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
What we exclude
Companies whose own description does not clearly place them among machine learning startups impacting spacetech companies, 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 its RevenueBase Smart Search 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, 232 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 5, 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

What is RevenueBase Smart Search?

RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning startups impacting spacetech companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.

How many machine learning startups impacting spacetech companies are there based in the United States?

RevenueBase identified 26 machine learning startups impacting spacetech companies 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?

Digital Divide Data DDD, headquartered in New York, tops this list with the largest team on record.

Which city has the most machine learning startups impacting spacetech companies?

New York leads with 3 headquartered companies, followed by Houston (2) and Boston (1).

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 232 verified decision-maker contacts tracked across these 26 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 5, 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 Smart Search, 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.