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Bake AI

Bake AI provides the research, evaluation, and infrastructure stack for frontier AI labs running autonomous research workloads. Its offerings include isolated sandbox clusters for controlled experiments, research agents for long-horizon engineering, and expert-curated benchmarks like AutoLab, VAB, JobBench, and NARRA-Gym for rigorous progress measurement.

Traction –/10
San Mateo, United States · HQ
100+ followers
  • Artificial Intelligence
  • AI Agents
  • Developer Tools
  • Software Only
  • Data & Analytics
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Frontier AI research labs face significant friction when running autonomous research workloads: they need isolated, controlled environments, unified execution, and traceable results to validate improvements. At the same time, evaluating agent performance across scientific, professional, and creative domains requires rigorous, expert-curated benchmarks that are often missing or fragmented.

Solution

Bake AI connects research, evaluation, and infrastructure to help frontier teams turn ideas into measurable progress. The company offers sandbox clusters for running autonomous research workloads in isolated environments with unified execution and traceable results, plus research agents for long-horizon engineering. Its suite of expert-curated benchmarks—including VAB for visual aesthetic judgment, AutoLab for autonomous research, JobBench for professional tasks, and NARRA-Gym for interactive narratives—enables rigorous progress measurement. The stack is designed to let teams iterate faster with confidence in their evaluations.

Target Audience

Frontier AI research labs and product teams building autonomous agents who need rigorous evaluation and scalable compute infrastructure to develop and benchmark their models.

Features

  • Sandbox clusters that provide isolated, controlled environments for autonomous research workloads with unified execution and traceable results
  • AutoLab: a long-horizon research and engineering benchmark with experimental loops for evaluating autonomous agents
  • Visual Aesthetic Benchmark (VAB): an expert-curated evaluation of visual aesthetic judgment across fine art, photography, and illustration
  • JobBench: an evaluation suite for agents on real-world professional tasks that people want to delegate to AI
  • NARRA-Gym: an executable evaluation environment for agents that sustain interactive stories, adapt to users, and manage narrative state across multiple turns
  • SecProbe: an adaptive evaluation of coding agents on repository-scale vulnerability repair, selecting or generating tasks to reveal capability gaps
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