# 83 Sciences: materials discovery from unpublished experimental data

Canonical: https://thelazyweb.com/companies/83-sciences/
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Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

83 Sciences uses AI to turn unpublished experimental data into materials-discovery work for industrial R&D and academic labs. The decision is whether a team wants a partner that can structure its discarded experiments and move toward a material, paper, patent, or scale-up question—not just another model trained on published literature.

## What it does

83 Sciences says it captures and structures data from voice notes through instrument output, builds a queryable record of experiments, and uses agents to propose materials and process conditions. Its public priority areas include critical minerals, energy storage, catalysis and chemicals, life-science solid forms, and semiconductors ([83 Sciences homepage](https://83sciences.ai/); [83 Sciences team](https://83sciences.ai/team)).

| Fact | What the public sources say |
| --- | --- |
| Buyer | Industrial R&D teams and academic labs |
| Input | Unpublished experimental data, from lab notes to instrument output |
| Output

[83 Sciences: materials discovery from unpublished experimental data](<https://www.thelazyweb.com/companies/83-sciences/>)

Source observed: 2026-09-20T02:21:45.056Z. Last checked: 2026-10-08T02:01:02.287+00:00.

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