AI & Machine Learning Investors & VC Firms in Italy
44 firms in this list, with a median first check of $540K. 15 of them lead rounds. Generated from verified public data and updated continuously.
360 Capital
MilanPre-Seed–Series B$162K – $10.8M
30 people
LIFTT
TorinoPre-Seed–Late Stage
36 people
P101 Ventures
MilanoPre-Seed–Growth$1.1M – $10.8M
24 people
Primo Ventures
MilanPre-Seed–Growth$1.1M
15 people
Pi Campus
RomePre-Seed–Seed$55K – $540K
16 people
Zest
RomePre-Seed–Series A
25 people
Lumen Ventures
RomeSeed
20 people
Neva Sgr.
TurinSeries A–Growth
8 people
United Ventures
MilanSeed–Growth$54K – $5.4M
6 people
EUREKA! Venture
MilanSeed–Late Stage
4 people
Step Venture
MilanoPre-Seed–Seed$500K – $2M
13 people
BlackSheep Ventures
MilanSeed–Series B
11 people
Excellis Holding
TorinoPre-Seed–Series A
2 people
2100 Ventures
MilanoPre-Seed–Series A
3 people
Banca Investis — Family Office
MilanGrowth–Late Stage
1 person
LMDV Capital
MilanGrowth
2 people
ENEA Tech e Biomedical
Rome
1 person
GERBER-RAUTH
MilanPre-Seed–Late Stage
Deep Ocean Capital SGR S.p.A.
RomePre-Seed
1 person
Innogest Capital
MilanLate Stage
H-FARM
RoncadePre-Seed–Seed
Northzone
LondonSeed–Growth$1M – $50M
49 people
Earlybird Venture Capital
BerlinPre-Seed–Series A$540K – $12M
49 people
Point Nine
BerlinPre-Seed–Series A$1M – $10M
20 people
Frequently asked questions
- Who are the top ai & machine learning investors & vc firms in italy?
- Top ai & machine learning investors & vc firms in italy include 360 Capital, LIFTT, P101 Ventures, Primo Ventures, Pi Campus, Zest, Lumen Ventures, Neva Sgr. — 44 firms in total meet the criteria.
- What is the typical first check among ai & machine learning investors & vc firms in italy?
- The median first check among the 44 ai & machine learning investors & vc firms in italy tracked here is $540K.
- How many ai & machine learning investors & vc firms in italy lead rounds?
- 15 of the 44 ai & machine learning investors & vc firms in italy tracked here lead investment rounds.
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Data sourced from public filings and firms' own websites — see our methodology.












































































