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Event Horizon Labs

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Event Horizon Labs

AI-native hedge fund using agents to invest the way humans do—at scale

ehl.markets
HQ: San Francisco, CA, USA
1-10
Fintech

Company research

Public company, workplace, funding, and market signals

Updated Jul 29, 2026

Overview

Event Horizon Labs (EHL) is a San Francisco–based AI research lab and early-stage startup focused on autonomous research agents for markets. Public materials also show an adjacent open-source retrieval stack (R2R / SciPhi Cloud) and a very small, in-person founding team.

Primary product

Autonomous research agents for markets (quant research / agentic investing platform)

Founded

2023

Headquarters

San Francisco, California, United States

Team size

1-10 employees

Work style

Onsite

Industry

Technology, Information and Internet

Sub-industry

AI research lab / quantitative finance / algorithmic trading

Offices

San Francisco, California, United States

Business model

proprietary quantitative trading / investing
open-source software
cloud software / SaaS

Funding

Stage

pre-seed

Total raised

$500K

Latest round

Pre Seed Round · Apr 2024

Latest amount

$500K

Pre Seed Round

Apr 2024 · Y Combinator

$500K

People & investors

Leadership

Owen Colegrove

Co-founder & CEO

Lawrence Liu

Founding Quantitative Researcher

Investors

Liquid2 Ventures
Pillar VC
Y Combinator

Work & culture

Small, high-bar founding team; in-person San Francisco; PhD researchers and engineers; emphasizes shipping real systems and owning them end to end.

Work style

Onsite

Compensation

Public job postings list roughly $150k-$250k base salary plus 0.25%-1% equity depending on role.

Benefits

real equity
founding roles
end-to-end ownership
in-person team in San Francisco
small team of high-bar researchers and engineers

Product & market

Pricing

Public pricing is not fully disclosed; the open-source R2R stack is self-hostable and has a cloud/free-tier offering, while the markets business is not publicly priced.

Differentiators

  • —autonomous research agents for markets
  • —hundreds of agents running in parallel
  • —agent outputs compound into new hypotheses and strategies
  • —open-source R2R with a Deep Research API
  • —multi-step reasoning plus knowledge-graph generation
  • —self-hostable software plus cloud deployment

Technology

Python
PyTorch
Go
Kubernetes
Ray
Spark
Kafka
Docker
Elasticsearch
LLM tooling
agent tooling
backtesting infrastructure
GitHub

Scale & contact

Estimated monthly visits

1.3K

founders@ehl.markets

Latest news

Evolution Chronicle: cme-futures-execution-v3

Hawking's Blog · Jun 2026

Machine-generated blog entry describing an autonomous trading/execution run and its outcomes.

When agents design execution algorithms, what actually matters?

Event Horizon Labs Research · Jan 2026

Research note on agentic execution design; argues that lighter coordination and less context can outperform heavier debate/coordination in some market-research settings.

How many agents should you run?

Event Horizon Labs Research · Jan 2026

Examines the tradeoff between wall-clock time and token spend when scaling agent fleets in parallel.

Autonomously researching granular market dynamics on Hyperliquid

Event Horizon Labs Research · Jan 2026

Research on using autonomous agents to study private trading activity and market microstructure on Hyperliquid.

Can agentic loops optimize noisy rewards?

Event Horizon Labs Research · Jan 2026

Research note on whether evolutionary / agentic loops can improve over noisy rewards in quantitative research workflows.

CareersGitHub orgHawking's BlogHomepageLinkedIn companyPillar VC profileR2R repositoryResearchSciPhi appY Combinator profile
SourcesHomepageCareersResearchHawking's BlogLinkedIn companyY Combinator profilePillar VC profileGitHub orgR2R repoSciPhi app

Jobs and careers at Event Horizon Labs

0 jobs at Event Horizon Labs

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