Foundation models of life, for life.
We build models of life beyond human understanding. Our models extrapolate from data to design breakthrough medicines for humanity’s most challenging diseases.
We are AI and biochemistry pioneers from
We work on the beach, where wet and dry meet to produce the best models for drug discovery
Foundation models for better medicines
AI drug discovery has been limited by myopic models and human assumptions. We embrace black box foundation models that learn directly from the data of life—to enable new therapies with superior properties, and open new therapeutic frontiers.
Deep learning from life
Our models are trained end-to-end on heterogeneous, multi-scale data, including public datasets and data generated by our lab.
This enables them to synthesize an empirical understanding of the phenomenon of life and generalize across programs and problems.
Our models train on heterogenous, multi-scale data, including public datasets, data generated by our lab, and partner data.
This enables them to synthesize an empirical understanding of the phenomenon of life and generalize across programs and problems.
Rapid wet + dry evaluation cycles
We score novel data and designs in silico to continually improve our models and assays. But in silico validation is insufficient.
Our in-house wet lab is also continually ranking models and validating designs in vitro and in vivo. Iterative cycles reduce time and cost from design to drug candidate.
We score novel data and designs in silico to continually improve our models and assays. But in silico validation is insufficient.
Our in-house wet lab is also continually ranking models and validating designs in vitro and in vivo. Iterative cycles reduce time and cost from design to drug candidate.
Breakthrough drugs, beyond the data
Our proprietary algorithms are engineered to extrapolate beyond the best existing designs, discerning how to iteratively improve molecules to ultimately make better designs than anything they’ve seen in the data.
Models train on the best existing designs and extrapolate further, discerning how to improve molecules to ultimately make better designs than anything they’ve seen in the data.
We wield this process to enable you to design novel drug candidates that outperform current options across numerous properties.
Building custom models together
We partner with leading drugmakers to customize foundation models for their discovery programs. Then we co-design novel medicines and empower our partners to take them to the clinic.
We view partnerships as strategic alliances, working together over time to tune models, utilize data, and transfer knowledge. Let’s discuss how our team and model design can optimize your AI investment and pipeline.
Inside Inceptive
Our antedisciplinary team of scientists, machine learning researchers, and engineers works together on “the beach” where wet and dry meet and new ideas come to life.
Inceptive was founded in 2021 by AI and biochemistry pioneers. We’ve grown to 35+ employees from DeepMind, Broad Institute, Stanford, and elsewhere, based in Palo Alto, Berlin, and Zurich.
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Models and molecules with maximum impact
Our mission
We believe AI models can do the greatest good for humanity by learning the mechanisms of life and designing novel therapies. We’re hiring scientists and engineers across AI and bio with the drive to optimize black box models for medicine.
Beginners only
We are leaders in our fields, but we bring a humble beginner’s mindset to our work. To access the unexplored frontiers of life and design novel biology, we have to abandon what we thought we knew. We continuously start from scratch, ask new questions together, and follow where the data leads.
