Bespoke Labs
Bespoke Labs was founded in 2024 by Mahesh Sathiamoorthy and Alex Dimakis in Mountain View, California.
Position in SVTR
Snapshot 2026-10-22- Startup SignalsTop 50%↓25
- DataTop 50%–
- AgentsTop 50%↓6
About
Bespoke Labs was founded in 2024 by Mahesh Sathiamoorthy and Alex Dimakis in Mountain View, California. It builds reinforcement learning environments and infrastructure for training, evaluating, and improving long-horizon AI agents for frontier labs and enterprises, using simulated real-world company environments (codebases, emails, Slack logs, etc.) as RL training grounds.
Full tier & rationale — an SVTR Intelligence benefit
Capital graph
Funding history
- 2026-07-06Series A$32M
Investors · Mayfield, The House Fund, 8VC, Wing VCSource · businesswire.com ↗
Comparable companies· by market
This company
BusinessLatest roundTotal raisedDate- Bespoke Labs
Realistic reinforcement learning environments for training and evaluating AI agents
Series A · $40M · 2026-07
$40M
United States
BusinessLatest roundTotal raisedDate- Proximal
Long-horizon RL training environments and evaluation data for frontier AI labs, starting with coding agent training data
Seed · $15M · 2026-09 · Valuation $300M
$15MValuation $300M - Fleet AI
Builds high-fidelity reinforcement learning environments (replicating Salesforce, Excel and browser/desktop workflows) for frontier AI labs and enterprises to train and evaluate computer-use agents
— - Micro1
Human expert annotation, reinforcement learning evaluation and robot training data for frontier AI labs
Undisclosed · $71M · 2025-09 · Valuation $500M
$71MValuation $500M
China
BusinessLatest roundTotal raisedDate- DataArc
Synthetic data technology for large models, filling data gaps at the pre-training, fine-tuning and reinforcement learning stages for low-resource languages, privacy-sensitive and long-tail scenarios
2026-07
— - ScanArk
Reconstructs real spaces as simulatable, interactive 3DGS scenes as training environments for embodied AI and world models
Angel · 2026-10
—
Europe
BusinessLatest roundTotal raisedDate- Rapidata
On-demand human feedback/RLHF platform for training and evaluating AI models (rapid feedback sourced via digital ads and other channels)
Seed · $17M · 2026-02
$17M - Aily Labs
Helps clients such as Sanofi track and evaluate different data streams
Series A · $21M · 2023-08
$21M - Aindo
Creates synthetic data for testing and training machine learning models
Series A · $6M · 2023-10
$6M
Confirmed rounds only. Matched on subsector, sector, stage and funding scale — each verifiable on the company profiles.
Investors that may fit
Y Combinator
22 Data deals in the last 24 months · 14 at a nearby stage · 22 in Silicon Valley
Request intro →Andreessen Horowitz
12 Data deals in the last 24 months · 5 at a nearby stage · 12 in Silicon Valley
Request intro →Lightspeed
12 Data deals in the last 24 months · 6 at a nearby stage · 12 in Silicon Valley
Request intro →General Catalyst
10 Data deals in the last 24 months · 7 at a nearby stage · 9 in Silicon Valley
Request intro →Felicis Ventures
9 Data deals in the last 24 months · 6 at a nearby stage · 9 in Silicon Valley
Request intro →Ranked by each firm’s deals in this sector over the last 24 months, weighted by nearby stage and shared geography. Indicative only — no rating judgment.