Fund profile / United States

Theory Ventures

Geography
United States
Stage
Pre-Seed
Fund size
$450M
Focus
AI/ML, SaaS and Web3 Infrastructure
Signals
Published
Share
N°01 / About

About Theory Ventures

Theory Ventures is a venture capital firm based in United States, focusing on Pre-Seed stage investments. The fund actively supports founders building innovative solutions in AI/ML, Web3 Infrastructure, SaaS, providing strategic guidance and capital to help startups scale.

N°02 / Thesis

Investment Focus

Location / RegionUnited States
Funding StagePre-Seed
Industry Focus
AI/ML
SaaS
Web3 Infrastructure

Investor Signals Profile

active

Sweet Spot

AI-native founders solving enterprise detection, modeling, autonomous defense, GTM

AI-native enterprise software
coding agents
ERP modernization
data infrastructure for AI
AI cybersecurity & autonomous defense
inference layer optimization
open models ownership
agentic workflows & payments
financial data infrastructure
environment intelligence modeling
blockchain agent tooling
local/edge inference edge cases
AI-driven GTM & sales ops
agent QA & trust mechanisms
logistics & supply chain automation
operational workflows AI

Bullish Signals

Active portfolio content, recent LP signalingexternal
Betting on AI coding agent waveexternal
In-house AI framework (CHAIN) developedlinkedin
Team publishing original agent researchlinkedin
Omni $120M Series C double-downtwitter
Portfolio spans ERP, BI, security, data infratwitter
Co-hosting AI Council events in SFtwitter
Artemis Security launch backed — AI autonomous defensetwitter
Ollama backing — 8.9M developers, 85% F500twitter
LanceDB portfolio — trillion-scale data infratwitter
Allium Labs backing — financial data layer for agentstwitter
Sail Research backing — predict agent compute before failuretwitter
Maze Security backing — AI-driven attack responsetwitter
Heavy on-the-ground presence: World's Fair, BlackHat, AICounciltwitter
Three-year pivot: model companies → inference layer playstwitter
Artemis Security + Lemonade deployment proves environment modelingtwitter
In Practice podcast expanding data storytelling reachtwitter
BB Bischof hiring interns: Jevons paradox AI accelerationtwitter
Local inference gap closing: 89% workload on open modelstwitter
Frontier model churn = 41 days, open-weight catching uptwitter
Ransomware dwell time rising: 14-day median detection gaptwitter
Compromise-then-handoff: median 22 seconds in 2025 vs 8h 2022twitter
Patch-exploit gap now negative: -7 days averagetwitter
Andy + Amber traveling to BlackHat for founder + ops matchmakingtwitter
Tom hosting GTM agent panel: Vercel case study live demotwitter
Vercel agent replaced inbound qualification, 6-week rolloutexternal
Agent QA + pipeline trust = core GTM competency signalexternal
BackOps AI Series B — logistics automation via agentslinkedin
Backing founders solving manual enterprise workflows at scalelinkedin

Contrarian Signals

Narrow ERP-adjacent niche focusexternal
Agent quality bar may filter most founderslinkedin
50% ERP failure rate — high-risk market entrytwitter
Inference cost arms race may fragment portfoliotwitter
Security backlog = 14-day dwell gap, not VC-fundable urgency yettwitter

Founder Do's

Build AI-native enterprise workflows
Target legacy ERP replacement
Show agent-compatible architecture
Prioritize software taste & code quality
Invert ERP risk calculus for enterprise buyers
Own your inference stack — don't rent
Solve agent cost/compute explosion early
Solve detection gaps (14-day median dwell)
Build environment modeling, not just logs/alerts
Prove agent ROI with GTM use cases ($5k/year cost models)
Automate manual coordination & document workflows

Founder Don'ts

Pitch vibe-coding consumer tools
Ignore enterprise system integration
Skip technical depth
Treat inference cost as afterthought
Ignore security backlog as distribution channel
Assume agent QA doesn't matter for pipeline-critical workflows
Overlook logistics/supply chain manual labor pain points

58 signals on Theory Ventures

29 bullish · 5 contrarian · 11 pitch do's · 7 don'ts · 6 GP profiles, each with its source. From €9/month, cancel anytime.

Facts

Fund Overview

Fund Size$450M
Saves0
People

Key People

Tomasz Tunguz

Andy TriedmanPartner
Adam ConwayAI Engineer
Tom TunguzPartner
BE BischofHead of AI
MelanieAI Engineer
AmberOperator/BD
N°04 / See also

Related Funds

Prospect Partners

Fund size$225M
Location
United States
Stage
Series A
Focus
Ecommerce, Deep Tech
Manager
Brett Holcomb, Brad O’dell
Series A
Ecommerce
Deep Tech

Omega Funds Fund IX

Fund size$647M
Location
United States
Stage
Growth
Focus
Biotech, Digital Health, Therapeutics
Manager
Otello Stampacchia, Francesco Draetta, Claudio Nessi
Growth
Biotech
Digital Health
Therapeutics
Location
United States
Stage
Seed
Focus
Enterprise Software, Defense, Cybersecurity
Manager
Wade Myers; Wes Lyons
Seed
Enterprise Software
Defense
Cybersecurity