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AI-Guided Enzyme engineering

Optimize activity, expression, and thermostability in the same enzyme optimization campaign.

Run multi-property optimization across every property your team measures — trained on your own assay data. Reach a variant that meets your full target profile in fewer rounds.

Read enzyme case studies

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Every enzyme engineer knows the pattern.

Your best Round 4 variant has 3× activity — and 40% lower expression. Your +15°C Tm hit doesn't tolerate process pH. The two best single mutants combined perform worse than either parent. And your assay drifted between batches, so half your data is noise.

Directed evolution optimizes one property per round. Rational design from a crystal structure misses the distant positions that drive real-world performance. Combining single winners ignores epistasis.

Cradle was built for teams past the screening hit. The goal is to get you to a variant that holds up at scale.

Enzyme discovery before

Project design

Target ID

Variant generation

Optimization

Application testing

Lead Op

Scale up

Enzyme discovery with Cradle

Project design

Target ID

AI protein engineering

AI Protein Engineering

Scale up

Preclinical

Move faster from screening hit to scalable enzyme.

Fewer rounds

Stop running dozen-round directed evolution campaigns

Cradle is built to handle the realities of the lab—like assay noise and batch-to-batch variation—that usually stall engineering. Scientists reach target profiles 2-12x faster using as little as one 96-well plate of data. You get to the "winner" faster while spending less on synthesis and screening.

Better enzymes

Optimize for activity, stability, and expression in parallel

Stop choosing between a high-performer that won’t express and a stable lead with no activity. Cradle balances these trade-offs from round one, finding non-intuitive mutations that traditional rational design misses. You get a diverse set of sequences that aren't just "hits" in an assay, but viable candidates for production.

Built for biologists

An intuitive workbench for any enzyme class

Your team can run campaigns directly through a UI that combines 3D structural views with sequence insights—no coding or data science degree required. Whether you’re engineering P450s or polymerases, you maintain full control of the strategy. Most importantly: your sequences and models remain your exclusive IP.

Fewer rounds

Stop running dozen-round directed evolution campaigns

Better enzymes

Optimize for activity, stability, and expression in parallel

Built for biologists

An intuitive workbench for any enzyme class

Selected properties

If you can measure it, you can optimize it with Cradle.

Set multiple objectives and let Cradle find variants that balance them - starting from as few as 96 variants per round.

Activity

Catalytic turnover, kcat, specific activity, substrate conversion

Stability

Thermostability (Tm), pH tolerance, solvent tolerance, shelf life

Selectivity

Product selectivity, substrate specificity, enantioselectivity

Application-specific

Fermentation robustness, formulation compatibility

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CASE STUDIES

Wet lab validated.
Trusted at industrial scale.

Enzyme case studies

Using AI to produce vaccine adjuvants without cutting down rainforest

Enzyme case studies

Improving haloalkane dehalogenase thermostability by +20 °C while enhancing activity and expression

Enzyme case studies

'Align to Innovate' benchmark: state-of-the-art enzyme engineering with fully-automated GenAI

Enzyme case studies

Case study: design better P450s 4X faster by combining AI-generated mutations with human expertise

Enzyme case studies

Using AI to produce vaccine adjuvants without cutting down rainforest

Enzyme case studies

Improving haloalkane dehalogenase thermostability by +20 °C while enhancing activity and expression

Enzyme case studies

'Align to Innovate' benchmark: state-of-the-art enzyme engineering with fully-automated GenAI

"Through our partnership with Cradle, we are embedding advanced Al directly into how we innovate, enabling our teams to shorten development time and bring real-world biosolutions faster to market."

Claus Fuglsang Crone

Chief Scientific Officer, Novonesis

Case studies

Using AI to produce vaccine adjuvants without cutting down rainforest

Case studies

Improving haloalkane dehalogenase thermostability by +20 °C while enhancing activity and expression

Case studies

'Align to Innovate' benchmark: state-of-the-art enzyme engineering with fully-automated GenAI

Case studies

Using AI to produce vaccine adjuvants without cutting down rainforest

News

Drug discovery leader Marcus Schindler joins Cradle’s Advisory Board

Guides

Product

Visualizing trade-offs in multi-property protein optimization

Same experimental workflow.
Better results.

With everyone in the same workspace, results compound across your organization. Same data. Same models. Same learning loop. New results.

API and Web Interface

Granular access controls

Unlimited seats

Web Interface

For wet lab scientists

Add your domain expertise and AI generate candidates for lab testing in just a few clicks. Upload experimental results to improve your project-specific AI automatically.

Learn more about the Cradle platform

API Access

For computational teams

Run Cradle with an API and scale your expertise without the DevOps overhead. Focus on novel design strategies, not routine requests and endless configuration.

Read documentation