AI Markets & Stages

Series B AI-active companies

Series B companies are scaling teams and formalizing their AI stack — VeilStrat tracks the hiring surges, tool adoption patterns, and active plays that reveal which ones are mid-motion and reachable before vendor decisions get locked in. Target companies showing live signal, not just a recent press release.

How we form these signals: Learn more

Company list

Matching companies

Public preview · about 15 of 203

CompanyIndustryEmployeesFundingSignal

Felix Pago

felixpago.com

Financial Services51-200Series BSeries B

Verismo Therapeutics

verismotherapeutics.com

Biotechnology Research11-50Series BSeries B

BackOps AI

backops.ai

IT System Custom Software Development51-200Series BSeries B

Trustly

trustly.com

Financial Services1,001-5,000Series BSeries B

Confido

confidotech.com

Software Development11-50Series BSeries B

Xapien

xapien.com

Software Development51-200Series BSeries B

Sequen

sequen.ai

Software Development11-50Series BSeries B

1World Online

1worldonline.com

Software & Internet—Series BSeries B

Actively

actively.ai

——Series BSeries B

Adaptive

adaptive.build

Real Estate & Construction—Series BSeries B

Advance Composite

advance-composite.co.jp

Manufacturing & Industrial—Series BSeries B

Afresh

afresh.com

——Series BSeries B

Aitan

aitansystems.com

Government, Defense & Public Sector—Series BSeries B

Aldagram (アルダグラム)

aldagram.com

Software & Internet—Series BSeries B

AnaCardio

anacardio.com

Healthcare & Life Sciences—Series BSeries B

Anaconda Biomed

anaconda.bio

Healthcare & Life Sciences—Series BSeries B

ANELLO Photonics

anellophotonics.com

——Series BSeries B

Antigravity (影翎)

antigravity.tech

Aerospace & Space—Series BSeries B

Arcee AI

arcee.ai

Software & Internet—Series BSeries B

Arc Ride

arcrideglobal.com

Energy & Sustainability—Series BSeries B

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How to target Series B AI-active companies

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FAQ

Frequently asked questions

VeilStrat looks for a combination of accelerating AI-role hiring, evidence of tool evaluation through job requirement language, and organizational plays like new team formations or leadership hires that precede infrastructure investment. A company posting one data science role is different from one that is simultaneously expanding its ML engineering headcount and signaling a platform shift.

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