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  • Cradle
    Trusted by the world's top Biopharma and Industrial Bio R D teams 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
  • The AI protein engineering software built for scientists - cradle. bio
    Cradle makes it easy for scientists to train and run protein AI that produces successful candidates 2 - 12x faster than traditional workflows
  • Team - Cradle
    Cradle brings together the very best minds in # biology, # design, # engineering and # machine-learning Our team has previously helped ship products and technology at companies like @ google, @ deepmind, @ novartis, @ uber, @ zymergen, @ twist, @ booking and @ stripe
  • AI-assisted drug discovery for any biologic - cradle. bio
    Accelerate your path to Target Product Profile with Cradle’s protein engineering software platform Generate proteins that meet multiple objectives, powered by your data and expertise
  • Blog - Cradle
    News, updates, tutorials, and more from the makers of Cradle
  • Careers - Cradle
    Leverage AI to generate protein candidates and improve their properties More breakthroughs in fewer experiments — guided by your own experimental data
  • The Cradle Wet Lab
    The constant exchange between our software, ML, and bio teams ensures that we deeply understand our customers’ needs On top of this, we leverage our lab and in-house expertise to benefit the broader scientific community by frequently sharing findings, methods, and more on our blog
  • CRADLE-1 Whitepaper
    CRADLE-1 adapts pre-trained protein language models to your project in stages: unsupervised evotuning on evolutionary neighborhoods, then supervised fine-tuning using both preference optimization (group DPO) and regression predictors trained on your assay data
  • Cradle
    Log in to Cradle for seamless data access and management
  • Cradle raises $73M Series B to Put AI-Powered Protein Engineering in . . .
    Today we're excited to announce that we've raised $73 million in Series B funding led by IVP, with continued backing from Index Ventures and Kindred Capital This brings our total funding to over $100 million – a major step toward our goal of bringing AI-powered protein engineering to every lab around the world We believe it’s crucial for the world to get really good at engineering





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