AI & Machine Learning Pre-Seed Investors & VC Firms
2102 firms in this list, with a median first check of $250K. 640 of them lead rounds. Generated from verified public data and updated continuously.
Render Capital
ClarksvillePre-Seed–Seed$750K – $1.3M
3 people
SpaceFund
HoustonPre-Seed–Seed
6 people
Transcend Capital Partners
Hong KongPre-Seed–Series B$5M
9 people
SparkLabs Korea
Palo AltoPre-Seed–Late Stage
7 people
ARKN ventures
OrlandoPre-Seed–Seed
11 people
Dispersion Capital
BellairePre-Seed–Seed
11 people
Maverick Silicon
San FranciscoPre-Seed–Seed
5 people
OUTBOUND CAPITAL
Saratoga SpringsPre-Seed–Seed
2 people
Prequel Ventures
BerlinPre-Seed–Seed$55K – $275K
2 people
G+D Ventures
MunichPre-Seed–Series A$216K – $2.2M
6 people
Ajim Capital
Pre-Seed–Seed$250K – $500K
1 person
Headwater Ventures
MinneapolisPre-Seed–Seed
1 person
Boson Ventures
MelbournePre-Seed–Series A
10 people
Novalis Biotech
GhentPre-Seed–Series A
7 people
Playfair Capital
LondonPre-Seed
13 people
PreAngel Fund
BeijingPre-Seed–Seed$20K – $1M
4 people
TechnoFounders
Pre-Seed–Growth
10 people
Companion M Gmb H
Pre-Seed–Seed$25K – $50K
6 people
Cultiv8 Funds Management
Pre-Seed–Series B$500K – $3M
6 people
PEER VC
Menlo ParkPre-Seed–Seed
6 people
Triptyq Capital
MontrealPre-Seed–Seed
9 people
Apeiron Venture Capital
AthensPre-Seed–Series A$324K – $1.1M
8 people
BaseTwo
George TownPre-Seed–Series A
5 people
Catalyze Advisors
Pre-Seed–Seed
8 people
Related lists
Pre-Seed Investors & VC Firms (5569)AI & Machine Learning Investors & VC Firms (4564)AI & Machine Learning Seed Investors & VC Firms (3743)Pre-Seed Investors & VC Firms in North America (3004)AI & Machine Learning Investors & VC Firms in North America (2968)AI & Machine Learning Investors & VC Firms in United States (2710)Pre-Seed Investors & VC Firms in United States (2671)AI & Machine Learning Series A Investors & VC Firms (2601)Fintech Pre-Seed Investors & VC Firms (1711)AI & Machine Learning Investors & VC Firms in Global (1689)
Data sourced from public filings and firms' own websites — see our methodology.























































































