The Agent Benchmark

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RunLocal AI

AI agent that optimizes inference for embedded compute like Jetson

runlocal.ai

1.5Score#865 of 999 agents#4 of 4 in ML engineer
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Why it ranks #865

RunLocal AI, an AI ML engineer from YC S24, ranks #865 of 999 AI agents and #4 of 4 in ML engineer, with a score of 1.5 of 10. Data as of .

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

  1. Proof

    Do customers use it? 30% of the score

    0

    No public claims of customers or revenue yet.

    Not found: revenue or growth (+4), named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)

  2. Scale

    Is there a real company behind it? 30% of the score

    2

    3 people.

    • +2
      3 people on its YC page3 or 4 people

    Not found: funding round in its news (+3)

  3. Momentum

    Is it shipping and growing now? 25% of the score

    0

    Nothing new in the last 6 months.

    Not found: launch YC post in the last 6 months (+3), open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2), a batch in the last year (it is YC Summer 2024) (+1)

  4. Autonomy

    How much of the job does it do on its own? 15% of the score

    6

    Supervised agent: takes actions in other systems; a person approves key steps.

    • +6
      Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
    What the model read
    • Acts in other systems: 57% likely
    • Finishes whole tasks: 28% likely
    • Calls itself an agent: 97% likely

    Level 2: Takes actions in other systems; a person approves key steps.

About RunLocal AI

RunLocal is an environment that specializes AI agents to optimize model for onboard compute platforms like NVIDIA Orin/Thor and Qualcomm → www.runlocal.ai

RunLocal is built for Physical AI engineering teams across autonomous vehicles, robotics, smart cameras and more.

Read more

It tracks every experiment and continuously refines experimentation data into an understanding of what drives performance on your target hardware.

This environment means that a generic coding agent (e.g. Codex or Claude Code) can experiment and iterate better, faster and cheaper.

With RunLocal, you hit performance targets faster and ship more optimized models – without hiring inference optimization specialists.

We’re working with leaders in autonomous vehicles and robotics. We're backed by investors like Y Combinator and 468 Capital.

Founders

Alternatives in ML engineer

The top ML engineer agents by score, with RunLocal AI in its place.

  1. 1JarminML engineerF25AI Employees for human-level rolesProof0Scale3Momentum3Autonomy8Score2.8
  2. 2hiloopML engineerS26Autoresearch as a service: we solve your hardest measurable problemsProof0Scale1Momentum6Autonomy6Score2.7
  3. 3PlexeML engineerSp25Open-source agents to build predictive ML models from a promptProof0Scale1Momentum2Autonomy8Score2.0
  4. 4RunLocal AIML engineerS24AI agent that optimizes inference for embedded compute like JetsonProof0Scale2Momentum0Autonomy6Score1.5

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