Chakra Labs

Chakra Labs

Deterministic RL environments and datasets

Overview

Chakra Labs provides research-grade infrastructure to help develop AI agents, including deterministic, pixel-perfect reinforcement learning environments and high-fidelity trajectory datasets. Environments simulate a world where an agent acts and learns, generating interaction data through the agent-environment loop, with frame-accurate state control for reproducible experiments. It also supports mixed-modality training and offers frontier data created in collaboration with research teams to address complex tasks. The goal is to supply scalable infrastructure and data that accelerate the design, training, and evaluation of AI agents.

Significant Headcount Growth

About Chakra Labs

Simplify's Rating
Why Chakra Labs is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2024

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Simplify's Take

What believers are saying

  • Dojo targets growing demand for benchmarkable GUI-agent training.
  • Trajectory datasets support licensing and co-development with research labs.
  • Open collaborative support for Harbor, Verifiers, and Verl expands adoption.

What critics are saying

  • OpenAI, Anthropic, and Google bundle competing agent infrastructure.
  • Hyperscalers can copy deterministic environment suites quickly.
  • Two-to-ten-person headcount limits sales, research, and infrastructure redundancy.

What makes Chakra Labs unique

  • Deterministic, frame-accurate RL environments for computer-use agents.
  • High-fidelity trajectory datasets from production-software interactions.
  • Mixed-modality training infrastructure built for frontier research teams.

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Growth & Insights

Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%

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