Cradle
AI protein design software for biotech teams trying to shorten experimental cycles.
What is Cradle?
Cradle is an AI platform for protein engineering teams. Scientists use it to design protein variants, prioritize experiments, and learn from assay results so each lab cycle has a better chance of producing useful candidates. For operators, the business case is fewer wasted experiments and faster movement from idea to validated biology.
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See the full Data & Analytics guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Design protein variants for enzymes, therapeutics, materials, or food applications
Prioritize experiments before committing lab time and reagent budget
Capture assay results into a workflow that improves the next design cycle
Give scientific teams a shared AI workspace instead of isolated notebooks and spreadsheets
Fit to evaluate
Biotech and industrial biology teams running protein engineering programs
R&D leaders trying to reduce wet-lab iteration cost
Scientific teams with assay data that can guide model-assisted design
Operators evaluating vertical AI tools for technical research workflows
Business fit
Right for you if protein engineering is a core R&D bottleneck and each experimental cycle is expensive. Cradle is not a general business automation tool; it is vertical AI for scientific teams. It can be strategically valuable for biotech operators, but service businesses and nontechnical teams should prioritize more direct revenue-leak automation first.
How to evaluate Cradle
Use this category when leaders need faster, clearer answers from business data.
Confirm the exact workflow
Map Cradle to one concrete workflow first, such as design protein variants for enzymes, therapeutics, materials, or food applications. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare data connectors, modeling, dashboarding, governance, and AI query features.
Compare practical alternatives
Compare Cradle with other Data & Analytics vendors before committing to a contract or migration.
Validate cost and rollout effort
Cradle does not publish standard self-serve pricing. Expect a sales-led evaluation based on team size, scientific workflow, data readiness, collaboration requirements, and support needs. Budget should include internal adoption time for scientists and data/process cleanup around existing assay results. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Cradle with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Design protein variants for enzymes, therapeutics, materials, or food applications, Prioritize experiments before committing lab time and reagent budget |
|---|---|
| Best-fit team | Biotech and industrial biology teams running protein engineering programs, R&D leaders trying to reduce wet-lab iteration cost |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Contact sales |
| Closest alternatives | Other Data & Analytics tools |
Cradle pricing
| Model | Contact sales |
|---|---|
| Snapshot | Cradle does not publish standard self-serve pricing. Expect a sales-led evaluation based on team size, scientific workflow, data readiness, collaboration requirements, and support needs. Budget should include internal adoption time for scientists and data/process cleanup around existing assay results. |
| Checked |
Common questions about Cradle
What is Cradle?
Cradle is an AI platform for protein engineering teams. Scientists use it to design protein variants, prioritize experiments, and learn from assay results so each lab cycle has a better chance of producing useful candidates. For operators, the business case is fewer wasted experiments and faster movement from idea to validated biology.
What is Cradle used for?
Common use cases: Design protein variants for enzymes, therapeutics, materials, or food applications; Prioritize experiments before committing lab time and reagent budget; Capture assay results into a workflow that improves the next design cycle; Give scientific teams a shared AI workspace instead of isolated notebooks and spreadsheets.
How much does Cradle cost?
Cradle does not publish standard self-serve pricing. Expect a sales-led evaluation based on team size, scientific workflow, data readiness, collaboration requirements, and support needs. Budget should include internal adoption time for scientists and data/process cleanup around existing assay results.
Who is Cradle best for?
Cradle fits Biotech and industrial biology teams running protein engineering programs, R&D leaders trying to reduce wet-lab iteration cost, Scientific teams with assay data that can guide model-assisted design, Operators evaluating vertical AI tools for technical research workflows. Right for you if protein engineering is a core R&D bottleneck and each experimental cycle is expensive. Cradle is not a general business automation tool; it is vertical AI for scientific teams. It can be strategically valuable for biotech operators, but service businesses and nontechnical teams should prioritize more direct revenue-leak automation first.