Cradle is an AI-powered protein engineering platform that helps scientists design and optimize proteins faster. Trusted by top teams at Novo Nordisk and Johnson & Johnson, Cradle accelerates breakthroughs by generating high-performance protein candidates, co-optimizing multiple properties, and reducing development timelines by 1.5-12x. Secure, private, and SOC 2 compliant—engineer better proteins with AI today.
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Published:
2024-09-08
Created:
2025-05-08
Last Modified:
2025-05-08
Published:
2024-09-08
Created:
2025-05-08
Last Modified:
2025-05-08
Cradle Product Information
What is Cradle?
Cradle is an AI-powered protein engineering platform designed to help scientific teams generate and optimize protein candidates faster. It leverages machine learning to analyze experimental data, predict protein properties, and suggest high-performing variants, reducing the need for extensive lab trials. Trusted by leading companies like Novo Nordisk and Johnson & Johnson, Cradle accelerates breakthroughs in therapeutics, agriculture, and food science.
Who will use Cradle?
Cradle is ideal for biotechnology and pharmaceutical researchers, protein engineers, and scientific teams working on therapeutics, enzymes, antibodies, or vaccines. It’s also valuable for agricultural and food science innovators optimizing proteins for specific functions. Organizations like Corteva and IFF use Cradle to streamline protein design, making it a tool for both startups and established enterprises.
How to use Cradle?
- Import your data: Upload wet lab data or define protein goals and assays to start.
- Generate candidates: Use AI to create optimized protein variants with multi-property support.
- Review reports: Analyze predictive scores and 3D models to select lab-ready sequences.
- Validate in the lab: Test candidates in-house or via a CRO, then upload results to refine AI models.
- Track progress: Monitor round statuses and property metrics as new data is added.
In what environments or scenarios is Cradle suitable?
Cradle excels in high-stakes R&D environments like drug discovery, enzyme engineering, and vaccine development, where speed and precision are critical. It’s also suited for agricultural biotech and food science labs optimizing proteins for stability or efficacy. Whether in academic research, biopharma, or industrial applications, Cradle accelerates protein design while ensuring data privacy and IP security.
Cradle Features & Benefits
What are the core features of Cradle?
- AI-driven protein candidate generation and optimization
- Multi-property support for co-optimizing activity, binding, stability, and more
- Lab-ready sequence generation with predictive performance reports
- Secure, private data handling with SOC 2 compliance
- Continuous model improvement using experimental data
What are the benefits of using Cradle?
- Accelerates protein development timelines by 1.5–12x
- Reduces experimental rounds with AI-guided optimization
- Enables breakthroughs in therapeutics, agriculture, and food ingredients
- Maintains full IP ownership with no royalties
- Integrates seamlessly with lab workflows and CROs
What is the core purpose and selling point of Cradle?
- Purpose: AI-powered protein engineering to streamline R&D
- Key selling point: Faster, data-driven protein optimization
- Compounding results across multiple properties in fewer experiments
- Trusted by industry leaders like Novo Nordisk and Johnson & Johnson
- Combines wet lab validation with AI design for reliable outcomes
What are typical use cases for Cradle?
- Therapeutic antibody development with reduced immunogenicity
- Enzyme engineering for catalytic efficiency in harsh conditions
- Peptide optimization for stability and efficacy
- Vaccine antigen stabilization and performance enhancement
- Agricultural and food ingredient protein innovation
FAQs about Cradle
What is Cradle and how does it help in protein engineering?
Cradle is an AI-powered protein design platform that helps scientific teams engineer better proteins faster. It leverages machine learning to generate optimized protein candidates and improve their properties, enabling breakthroughs in fewer experiments. Cradle learns from your experimental data to provide increasingly accurate predictions, reducing development timelines by 1.5-12x compared to traditional methods.
How does Cradle's AI platform work for protein optimization?
Cradle's AI platform follows a cycle of learning from experimental data, generating optimized protein candidates, and validating results in the lab. Users upload their wet lab data, Cradle analyzes it to understand protein behavior, then generates diverse, high-potential variants that balance multiple desired properties. The system improves with each round of experimental feedback.
What types of proteins can be engineered using Cradle?
Cradle is designed to work with any protein type, including antibodies, enzymes, peptides, and vaccine antigens. It helps optimize various properties like binding affinity, catalytic activity, stability, and expression levels. The platform is used across industries including therapeutics, agriculture, food ingredients, and more.
Can Cradle help optimize multiple protein properties simultaneously?
Yes, Cradle specializes in co-optimizing multiple protein properties at once. The platform understands complex interactions between different characteristics like activity, binding, stability, and expression. This allows it to generate variants that balance improvements across all your target properties, turning trade-offs into optimized solutions.
How secure is my data when using Cradle for protein engineering?
Cradle maintains strict data security with SOC 2 compliance, bank-grade encryption, and private AI models. Your experimental data and sequences remain completely confidential, only used to train your organization's custom models. Cradle never uses your data to train models for other customers, and you retain full IP ownership.
What companies currently use Cradle for protein design?
Cradle is trusted by leading scientific teams at major organizations including Novo Nordisk, Johnson & Johnson, and IFF. These companies use Cradle to accelerate their protein engineering workflows, achieving faster development timelines and more successful outcomes in their research programs.
How does Cradle compare to traditional protein engineering methods?
Cradle dramatically accelerates protein engineering compared to traditional methods, reducing development time from years to quarters. Instead of sequential trial-and-error experiments, Cradle uses AI to predict optimal variants, explore multiple design strategies simultaneously, and learn from each round of data. This leads to compounding improvements rather than incremental progress.
Can I integrate Cradle with my existing lab workflows?
Yes, Cradle is designed to complement existing lab workflows. You can upload data from your current screening or optimization experiments, then download Cradle-generated sequences for testing in your own lab or with your preferred CRO. The platform includes tools to track round status and analyze results alongside your experimental data.
What kind of support does Cradle offer for new users?
Cradle provides dedicated support from a team of scientists and machine learning experts to help users get started and troubleshoot any issues. The platform also offers documentation, generation reports to guide candidate selection, and automatic data quality analysis to help optimize your experimental workflows for best results with the AI.
How can I get started with Cradle for my protein engineering projects?
To begin using Cradle, you can book an introductory call with their team through their website. The platform allows you to either upload existing experimental data or start new projects by defining your protein engineering goals and assays. No specialized computational skills are required to generate and evaluate optimized protein candidates.
Cradle Company Information
Company Name:
Cradle Bio BV
Website:
Analytics of Cradle
Traffic Statistics
22.5K
Monthly Visits
1.9
Pages Per Visit
43.07%
Bounce Rate
39
Avg Time On Site
Monthly Visits
User Country Distribution
Top 5 Regions
US
22.75%
NL
12.77%
CH
9.45%
DE
9.37%
CA
6.54%
Traffic Sources
Social
6.31%
Paid Referrals
0.61%
0.09%
Referrals
10.81%
Search
40.69%
Direct
41.46%
Top Keywords
| Keyword | Search Volume | Cost Per Click | Estimated Value |
|---|---|---|---|
| cradle bio | 2.4K | $-- | $651 |
| cradle | 113.3K | $0.51 | $617 |
| cradle ai | 2K | $-- | $325 |
| cradle headquarters | -- | $-- | $191 |
| cradle zurich | 360 | $-- | $172 |
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