Harvard FAS · Nov 2025
Public job posting showing ongoing hiring for a founding research engineer focused on agent evaluation, synthetic data generation, and RL.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
AgentHub is a San Francisco-based, YC-backed company building an implementation-agnostic simulation and evaluation engine for AI agents, with realistic sandboxes, full tracing, and benchmark-style grading for agentic workflows.
Primary product
Simulation and evaluation engine for AI agents / AgentHub Benchmarks
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10 employees
Industry
Technology, Information and Internet
Sub-industry
AI agent simulation and evaluation infrastructure
Offices
0 jobs at AgentHub
Check back later for new openings
Business model
Stage
pre-seed
Total raised
$500K
Latest round
Pre-seed · Oct 2025
Latest amount
$500K
Oct 2025
Aug 2025
Jan 2025
Investors
Lean, founder-led team with high ownership. Public hiring materials emphasize working directly with the founders, building frontier AI infrastructure, and shipping research into production products.
Compensation
One public job listing for a Founding Research Engineer showed a $160k-$200k salary band; other public postings emphasize high ownership and direct founder collaboration rather than a published benefits package.
Differentiators
Technology
Customers
Competitors
Estimated monthly visits
390
Traffic estimate as of Aug 2025
Harvard FAS · Nov 2025
Public job posting showing ongoing hiring for a founding research engineer focused on agent evaluation, synthetic data generation, and RL.
AgentHub / LinkedIn · Oct 2025
Company post announcing AgentHub Benchmarks and one-click testing for economically valuable real-world tasks, with public leaderboard and hosted infrastructure.
Y Combinator / LinkedIn · Aug 2025
YC-linked post restating the product focus on realistic sandbox evaluation, detailed traces, and step-level debugging for agentic workflows.
Y Combinator · Aug 2025
YC launch announcing AgentHub as an implementation-agnostic platform for simulating, tracing, and evaluating AI agents in realistic environments.