AlphaFold vs FutureHouse
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
AlphaFold
Google DeepMind's protein-structure prediction AI — the Nobel-winning...
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FutureHouse
Eric-Schmidt-backed nonprofit building AI agents to automate scientifi...
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| RECATOOLS Score | 8.5 / 10 | 7.5 / 10 |
| Capability | — | — |
| Value for money | — | — |
| Ease of use | — | — |
| ASEAN readiness | — | — |
| API quality | — | — |
| Pricing | Free | Freemium |
| Free tier | Free AlphaFold Server (non-commercial) plus the open AlphaFold Protein Structure Database; AF3 model code released for non-commercial use. | Free public web platform and agents (Crow, Falcon, Owl, Robin) plus a free API tier for researchers. |
| Paid from | — | Higher-throughput / commercial use via the Edison Scientific spinout |
| Has API | ✗ | ✓ |
| Open source | ✓ | ✗ |
| Free to use | ✓ | ✓ |
| Users | 3M+ researchers | — |
| Founded | — | 2023 |
| Maker | Google DeepMind | Sam Rodriques, Andrew White |
| Verdict | What this is for: Predicting the 3D structure of proteins and their complexes with DNA, RNA and small molecules, accelerating structural biology and drug discovery. Who this is for: Academic and non-commercial researche... |
What this is for: Automating literature review, hypothesis generation and multi-step scientific reasoning with citation-grounded AI agents. Who this is for: Academic researchers and scientists in biology, chemistry and... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.