AI protein engineering / biotech R&D platform
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    Cradle

    AI protein engineering / biotech R&D platform

    Cradle is a Dutch–Swiss biotech software company (founded 2021, HQ Amsterdam) providing generative AI for protein engineering. Its platform lets scientists upload experimental data, train project-specific models, and generate optimized protein sequences balancing multiple properties (binding, stability, expression, activity) simultaneously. CRADLE-1, its lead-optimization framework, claims 2–12× faster R&D and ~90–95% success hitting target product profiles vs traditional workflows. Cradle runs its own Amsterdam wet lab to validate and improve its AI core.

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    Alternatives & similar tools

    Related picks from editorial notes.

    Also mentioned

    • Benchling — R&D cloud platform with bioregistry and increasingly AI features.
    • Generate Biomedicines — AI-native protein design (therapeutics-focused competitor).
    • Profluent — AI protein design using language models for novel sequences.

    Features & details

    Full overview from our catalog (read-only reference).

    Category (short)
    AI protein engineering / biotech R&D platform
    Category
    AI protein engineering / biotech R&D platform
    Pricing (CSV)
    Free Trial
    Directory pricing
    Freemium
    Sponsored note
    no
    Target audience
    Biotech and pharma protein engineering teams, Industrial bio companies optimizing enzymes for manufacturing, Organizations with measurable assay data ready for ML-guided design, Academic not-for-profit labs accepted into Cradle’s academic program, Not ideal for: solo developers, non-biology use cases, or teams without wet-lab validation capacity.
    Best for
    Biotech and pharma protein engineering teams, Industrial bio companies optimizing enzymes for manufacturing, Organizations with measurable assay data ready for ML-guided design, Academic not-for-profit labs accepted into Cradle’s academic program, Not ideal for: solo developers, non-biology use cases, or teams without wet-lab validation capacity.
    Pricing notes
    Verified from cradle.bio/licensing (July 2026): No public list pricing — sales-led enterprise model. Standard — Annual license based on number of active projects. Enterprise — Multi-program, multi-division deployment; contact sales. Academic — Not-for-profit research program; limited availability; apply via site. Included in all licenses — Unlimited users, unlimited data upload/storage, compute/infra included, full platform + API access, sequence IP ownership, no royalty/milestone fees (vendor claim). Industry estimates — Mid-to-high five figures USD annually minimum (third-party; not confirmed by Cradle).

    Pros & cons

    Editorial notes to help compare fit before opening the vendor site.

    Pros

    • Wet-lab-validated AI with proprietary Amsterdam lab feedback loop
    • Multi-property optimization vs sequential traditional methods
    • Clear licensing — no royalties/milestones
    • customers own sequence IP
    • Full API + UI for mixed wet-lab/computational teams
    • Strong funding and pharma/industrial customer traction

    Cons

    • No self-serve or public pricing — long enterprise sales cycle
    • Requires experimental data and biology expertise to extract value
    • Not accessible to individual researchers without academic program
    • Compute/project limits may apply per contract (undisclosed)
    • Unrelated “Cradle” products create naming confusion in search

    Review notes

    Context from the listing review and editorial research.

    Cradle is well-funded ($73M Series B, Nov 2024 per TechCrunch) and recognized in European biotech (Wired hot startups 2024, Bloomberg 25 European startups 2025). Customers cite 2–12× speedups and high candidate quality ratings (~8/10 per vendor case studies). Enterprise-only access and biology-specific domain are barriers for general AI directories. Distinct from unrelated “Cradle” requirements-management software (3SL/threesl.com).

    Extended features

    In-depth description and capability notes.

    Multi-property optimization — Simultaneous optimization of binding, thermostability, expression, and more. Automated model fine-tuning — Custom models per round from public data, Cradle wet-lab data, and customer assays. Intelligent plate design — Full experimental plates via thousands of in-silico simulations. Web UI + API — Accessible to bench scientists; programmatic access for computational teams. Private workspaces — Customer data and models remain private; SSO, 2FA, role-based permissions. CRADLE-1 framework — Automated lead optimization across antibodies, enzymes, peptides, vaccines, CRISPR.

    Use cases

    Cradle serves pharma, industrial biotech, and foodtech teams running protein design–build–test–learn cycles. Scientists upload screening/assay results, generate candidate libraries, test in lab, and iterate — Cradle learns from each round. Modalities include antibodies (VHH, scFv, IgG), enzymes, peptides, and vaccines. Not for individual hobbyists; enterprise and qualified academic program only.