Chakra Labs

Chakra Labs

Deterministic RL environments and datasets

Overview

Chakra Labs provides research-grade infrastructure for building and training AI agents. It offers deterministic, pixel-perfect reinforcement learning environments, high-fidelity trajectory datasets, and mixed-modality training capabilities. Practically, developers use Chakra Labs’ simulated worlds to run agent-environment loops, collect precise interaction data, and train agents on complex tasks. The environments are frame-accurate, enabling precise control over state and observations, which helps generate reliable data and reproducible experiments. Compared with typical AI tooling, Chakra Labs emphasizes deterministic, high-fidelity simulations and frontier data collaboration to support frontier-defining research problems. The goal is to give researchers and developers reliable tools and data to design, train, and evaluate capable AI agents for advanced tasks.

Significant Headcount Growth

About Chakra Labs

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

  • Chakra raised $10.1 million in January 2026, supporting runway and product iteration.
  • Dojo launched October 2025 and now lists hiring, signaling active execution.
  • Public positioning shifted to frontier data laboratory, matching demand for agent training data.

What critics are saying

  • OpenAI, Anthropic, Google, and Cua commoditize computer-use infrastructure by 2026.
  • Chakra has no verified customers; unnamed research teams do not prove durable revenue.
  • A crowded vendor set from Scale AI, HUD, and AfterQuery can crush pricing.

What makes Chakra Labs unique

  • Dojo clones production software with frame-accurate state capture and deterministic environments.
  • Chakra targets computer-use RL, not generic agent tooling, with mixed-modality trajectory datasets.
  • Founder Alexander Fung and Nirmal Krishnan built a frontier-data lab, not a SaaS wrapper.

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Growth & Insights

Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%

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