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83 Sciences

AI-native materials discovery powered by unpublished experimental data

83sciences.ai

3.0Score#350 of 999 agents#4 of 16 in Scientist
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Why it ranks #350

83 Sciences, an AI scientist from YC S26, ranks #350 of 999 AI agents and #4 of 16 in Scientist, with a score of 3.0 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

    6

    Shows a recent launch, hiring and a new batch.

    • +3
      Launched in the last 6 months83 Sciences: Materials discovery from the ~90% of experimental data that never gets publishedLaunch YC post · 3 Aug 2026
    • +2
      Hiring: 3 open rolesFounding AI Engineer, Head of Data Partnerships, Full-Stack Software EngineerYC page
    • +1
      New: YC Summer 2026

    Not found: new traction claim in the last 6 months (+2), funding news in the last year (+2)

  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: 12% likely
    • Finishes whole tasks: 12% likely
    • Calls itself an agent: 2% likely
    • Level 1 from the model's reading of its pages; the evidence review found, with quotes, that its AI acts in the work, so the level is 2

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

About 83 Sciences

83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs. Working alongside labs, we discover the materials that will power the new Industrial Revolution.

Founders

Launches and news

  1. Launch YC3 Aug 202683 Sciences: Materials discovery from the ~90% of experimental data that never gets publishedWe train materials discovery models on experimental data to help industry improve manufacturing performance at scale and help academics publish more.

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