Newest AI & Machine Learning Companies — 2026

Browse the newest privately-funded AI & Machine Learning companies. Sorted by filing date, with the most recent on top.

About AI & Machine Learning

AI & Machine Learning private companies in this directory range from foundation-model labs and enterprise AI infrastructure to applied ML in healthcare, finance, legal, and creative tooling. Form D filings in AI skew toward the upper end of the corpus — GPU compute and specialized ML engineering talent drive high burn rates, pushing Series A and later rounds into the $30M–$200M range. The classifier separates this sector from SaaS & Software by scanning issuer names for AI/ML keywords, so foundation-model labs and applied-ML startups don't get lost in the general software bucket. Common entity types are Delaware C-corporations, often filing under Rule 506(b) with accredited-investor-only rounds. Most AI filings list small investor counts, reflecting the institutional-VC-heavy cap tables typical of the category.

In 2026, AI & Machine Learning accounts for 27 catalogued filings totaling $225.9M, running at roughly 6.1 filings per week over the last 30 days.

Total raised
$225.9M
Median offering
$1.8M
Active states
10
Last 30 days
26

Featured AI & Machine Learning companies in 2026

$70M

Kenny AI LLC

SHERIDAN, WY · Filed Apr 10, 2026

Kenny AI LLC is an AI & Machine Learning company based in SHERIDAN, WY. The company is a Limited Liability Company, incorporated in Wyoming,…

$34.5M

FINSTER AI, INC.

NEW YORK, NY · Filed Apr 14, 2026

FINSTER AI, INC. is an AI & Machine Learning company based in NEW YORK, NY. The company is a Corporation, incorporated in Delaware, with its…

$30M

WORTH AI INC.

WINTER PARK, FL · Filed Apr 8, 2026

WORTH AI INC. is an AI & Machine Learning company based in WINTER PARK, FL. The company is a Corporation, incorporated in Delaware, with its…

About AI & Machine Learning private companies

AI Form D filings reflect round dynamics that differ from other tech sectors. Compute commitments to cloud providers (AWS, Google Cloud, Oracle) frequently appear as strategic deal terms; these don't always surface on Form D but influence round size. AI regulation is evolving — the EU AI Act, US executive orders, and state-level rules for consumer-facing AI in California, Colorado, and Texas — creating compliance overhead that early-stage filers mostly absorb internally. Foundation-model labs often structure rounds with strategic corporate investors (Microsoft, Nvidia, Google) alongside traditional VCs, producing complex cap tables that Form D only partially captures. Form D discloses the offering amount and number of accredited investors but not investor identities; researchers reading this hub should treat disclosed counts as institutional participation signals rather than full investor lists.

AI & Machine Learning funding trends

Recent AI & Machine Learning filings cluster in a few areas. First, application-layer AI (legal, medical, finance copilots) dominates filing counts — these companies raise smaller $5M–$30M rounds more frequently than foundation-model labs. Second, AI infrastructure (model serving, vector databases, evaluation platforms, RAG tooling) attracts mid-stage rounds from enterprise-focused funds. Third, defense and government AI has emerged as a distinct cluster, often organized as Delaware C-corps with Virginia or Maryland operating addresses, reflecting proximity-to-customer patterns in govtech. Fourth, AI hardware (custom silicon, edge-inference chips) occasionally surfaces as large $100M+ filings. Watch this hub for filings that combine a small number of accredited investors with an outsized offering amount — a common pattern for foundation-model Series B and Series C raises closed with a handful of strategic leads.