AI-native materials discovery powered by unpublished experimental data
Both entries list the same team size, 3 and 83 Sciences was listed 4 days earlier.
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| Measure | 83 Sciences | Alkera AI |
|---|---|---|
| Batch | Summer 2026 | Summer 2026 |
| Team size | 3 | 3 |
| Stage | Early | Early |
| Status | Active | Active |
| Industry | Industrials | B2B |
| Sectors | Hard Tech, Advanced Materials, AI | Artificial Intelligence, Developer Tools, Data Science, Data Engineering, Enterprise Software |
| Based | San Francisco | San Francisco |
| Year founded | 2026 | 2026 |
| Open roles | 3 | 0 |
| Founders | 3 | 3 |
| Group partner | Tyler Bosmeny | Ankit Gupta |
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83 Sciences
Against the 213 companies on file from Summer 2026. Median team 2, largest 30.
Alkera AI
Against the 213 companies on file from Summer 2026. Median team 2, largest 30.
83 Sciences
Alkera AI
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83 Sciences
83 Sciences turns the world's unused experimental data into the materials and manufacturing processes powering the next industrial revolution.
The title and description the site itself served, answering 200. Not a cached copy and not the company's directory entry — what was live when we asked.
Alkera AI
Alkera is a data engineering agent that works natively across your entire data stack — strict data governance, reasoning over exact column-level lineage, and a living knowledge base built from your team's work. Build new pipelines and migrate legacy ones to the modern data stack.
The title and description the site itself served, answering 200. Not a cached copy and not the company's directory entry — what was live when we asked.
The full profile
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Watchlist 83 SciencesBoth profiles in full: 83 Sciences · Alkera AI.
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