Birdwood
Scale through reusable libraries
Measure up to 100,000 molecular interactions per run, with reusable libraries that can be re-screened against additional targets.
Molecular interactions
measured at scale
We’re developing microarrays to generate quantitative binding data for drug discovery and AI model training.
OUR APPROACH
Molecular interaction data for drug discovery and AI.
We’re developing a platform to help drug discovery researchers and model developers understand molecular binding at scale. Our quantitative datasets will support molecule screening and optimization, alongside biological foundation model training.
Diverse molecular interactions
Extensible beyond small molecule–protein binding to proteins, nucleic acids, cyclic peptides, aptamers, and antisense oligonucleotides.
Binding kinetics
Real-time association and dissociation measurements characterize how quickly molecules bind and how long they stay bound.
Environmental perturbations
Measure binding across temperature, solvent, pH, and ionic strength to support molecular design for specific environments.
TECHNOLOGY
Binding kinetics,
measured in parallel
A spatially indexed molecular library with 100,000 features enables parallel analysis.
CAPABILITIES
Our design targets.
Scale
Screen large molecular libraries in parallel, then reuse them to explore additional targets.
Single-day measurements
The full workflow, from library design to assay completion, takes days to weeks, depending on library format.
Broad modality compatibility
A modular readout makes our platform compatible with measurements across biological modalities.
Quantitative readouts
Our goal is quantitative affinity and kinetic estimates for library members within the measurable range.
Get in touch
Explore how quantitative binding data can advance your research