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.
Wildwood Ventures
BoulderPre-Seed–Series A
7 people
16VC Limited
LondonPre-Seed–Seed$250K – $2M
9 people
Anthropy Partners
SeattlePre-Seed–Seed
6 people
Deep Insight
Tel AvivPre-Seed–Late Stage
6 people
NJII Venture Studio
NewarkPre-Seed$1M
12 people
Overboost
Vicente LópezPre-Seed–Series A
12 people
Seven Stars Ventures
San FranciscoPre-Seed–Series A
3 people
Softline Venture Partners
Moscow CityPre-Seed–Seed$50K – $500M
9 people
Go Big Partners
ArianaPre-Seed–Series A
8 people
Oryzn Capital
Tel AvivPre-Seed–Seed$500K – $5M
5 people
Relia Health
OntarioPre-Seed–Series A
5 people
Socratus Startup Studio
UlaanbaatarPre-Seed–Seed$15K – $100K
5 people
Red Bike Capital
New YorkPre-Seed–Seed$25K – $1M
2 people
Encoded Ventures
LincolnPre-Seed–Seed$500K
1 person
Kinetic Investments
LondonPre-Seed–Seed$600K – $1M
7 people
Nivesha Ventures
Pre-Seed–Seed
7 people
Nomad Venture Partners, Llc
Los AngelesPre-Seed–Seed
4 people
Ontario Centre of Innovation programs
TorontoPre-Seed–Seed$500K
4 people
RiSC Capital Corp
TorontoPre-Seed–Seed
10 people
Jelix Ventures
SydneyPre-Seed–Series A
5 people
AIP Seed
WarsawPre-Seed–Seed$250K
6 people
Bixin Capital
BeijingPre-Seed–Series A
SK Ventures
Pre-Seed–Seed
3 people
Teknoloji Yatirim
AnkaraPre-Seed–Series A
6 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.
























































































