EdotEnv

EdotEnv provides financial-market-based reinforcement-learning environments and research benchmarks that AI labs and research teams use to train and assess agents on quantitative-research tasks.

Source:edotenv.com

edotenv.com · updated Sep 29, 2026

RL environments Evals and benchmarks

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Headquarters: San Francisco, United States
Source:cbinsights.com
Founded: 2026
Source:ycombinator.com
Headcount: 1-10
Source:ycombinator.com
Total funding: $500K
Sources:cbinsights.com nordic9.com
Latest round: Convertible Note, $500K, July 2026
Sources:cbinsights.com nordic9.com

Trust & data

How the vendor protects buyer material, where its data comes from, and where it can run.

Data sources: Not confirmed
Sources checked:edotenv.com
Stated confidentiality practices: For benchmark integrity, held-out evaluation data is kept outside the agent environment and symbols and dates are anonymized; no customer-data security controls are stated.
Source:edotenv.com
Not publicly listed: SOC 2, Trust center, Other certifications, Deployment, Exclusivity

What they sell

Offerings: RL environments Evals and benchmarks
Source:edotenv.com
Domains: Finance
Source:edotenv.com
Delivery formats: Docker containersMCP toolsDatasets
Sources:edotenv.com github.com
Public samples & benchmarks: Alpha Autoresearch
Long-Horizon Planning
Feature Engineering
Sources:edotenv.com/blog/alpha-autoresearch edotenv.com/blog/long-horizon-planning github.com
Not publicly listed: Named customers

Every change to these facts is kept in the public claims log. Record co_0d0e881e336f.