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AI-Guided Peptide engineering

Optimize peptides without protein-scale data

Cradle learns from small datasets and tight sequence constraints - getting you to candidates that meet all your requirements, even late in development.

50% success rate, 4x faster - read peptide case study

Explore platform

Peptides aren't just small proteins.
Your tools shouldn't treat them like they are.

Standard predictors for solubility, aggregation, and stability? Built for proteins. Public databases? Sparse on peptides. And peptide optimization comes with constraints other protein engineers don't face: cyclization, non-standard amino acids, linker dependencies, and late-stage programs where sequence flexibility is minimal and you need to hit multiple properties at once.

Cradle helps scientists engineer better peptides faster by learning from your in-house assay data and building project-specific models for your specific peptide.

Peptide discovery before

Project design

Target ID

Variant generation

Optimization

Application testing

Lead Op

Scale up

Peptide discovery with Cradle

Project design

Target ID

AI-assisted protein engineering

AI Protein Engineering

Scale up

Move faster from screening hit to scalable enzyme.

Fewer rounds

Multi-property optimization with peptide-scale data

Balance binding, metabolic stability, solubility, and developability in a single campaign. Cradle builds fit-for-purpose models from as few as 96 data points — matching the throughput most peptide teams actually have. 1 round per program vs. ~5 in traditional workflows.

Better enzymes

Engineer beyond standard chemistry and tight sequence constraints

Cradle learns from your experimental data on N-methylations, cyclization, NSAAs, and linker variants — chemistry public databases don't cover. In late-stage programs with limited sequence flexibility, your team finds variants that satisfy multiple requirements simultaneously, even when the optimization headroom is narrow.

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

Multi-property optimization with peptide-scale data

Better enzymes

Engineer beyond standard chemistry and tight sequence constraints

Built for biologists

An intuitive workbench for any enzyme class

Supported properties

If you can assay it, Cradle can optimize for it.

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Read the whitepaper

Binding

Affinity, on-rate, off-rate, residence time, specificity

Format-specific

Cyclization compatibility, linker performance, NSAA incorporation

Stability

Metabolic stability, conformational stability, proteolytic resistance

Developability

Solubility, aggregation, expression

CASE STUDIES

Trusted by 6 of the top 25 pharma companies and industrial R&D leaders.

Case studies

Engineering therapeutic peptides with 50% success rate under tight multi-property constraints, 5× faster than prior efforts

Case studies

Engineering therapeutic peptides with 50% success rate under tight multi-property constraints, 5× faster than prior efforts

"Cradle's platform provides us with scalable scientist-centric solutions to maximize the opportunities in our biologics portfolio and potentially deliver faster, more effective medicines to patients."

Anastasia Hager, Ph.D.

Global Head of Drug Discovery Sciences, Bayer

Cradle works with peptide-scale data and constraints.

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 peptide engineers

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.

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