Birdwood Therapeutics
Birdwood Therapeutics is developing a microarray-based platform that generates quantitative molecular binding data at scale for drug discovery and AI model training. The platform measures up to 100,000 interactions per run with reusable libraries, provides real-time binding kinetics, and supports diverse modalities including small molecules, proteins, nucleic acids, cyclic peptides, aptamers, and antisense oligonucleotides.
- Drug Discovery & Therapeutics
- Biotechnology
- Healthcare Technology
- Hardware
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Drug discovery researchers face significant challenges in identifying and optimizing therapeutic candidates when quantitative molecular binding data is limited or difficult to generate. Traditional screening methods lack the scale and throughput needed to explore large chemical and biological libraries, and AI model developers struggle to train accurate predictive models without comprehensive binding datasets.
Solution
Birdwood Therapeutics is developing a microarray-based platform to generate quantitative binding data at scale for drug discovery and AI model training. The platform measures up to 100,000 molecular interactions per run and features reusable libraries that can be re-screened against additional targets. Real-time association and dissociation measurements provide binding kinetics data, revealing how quickly molecules bind and how long they remain bound. The platform supports diverse molecular interactions, extending beyond small molecule-protein binding to proteins, nucleic acids, cyclic peptides, aptamers, and antisense oligonucleotides. The full workflow from library design to assay completion takes days to weeks depending on library format, enabling single-day measurements and rapid screening cycles.
Target Audience
Primary customers are drug discovery researchers in pharmaceutical and biotechnology companies who need quantitative binding data for molecule screening and optimization, along with AI model developers training biological foundation models that require comprehensive molecular interaction datasets.
Features
- Reusable molecular libraries enabling up to 100,000 interactions measured per run and re-screening against additional targets
- Real-time association and dissociation measurements for quantitative binding kinetics characterization
- Modular readout system compatible with diverse modalities including small molecules, proteins, nucleic acids, cyclic peptides, aptamers, and antisense oligonucleotides
- Environmental perturbation capabilities measuring binding across temperature, solvent, pH, and ionic strength conditions
- Scalable parallel screening design supporting library exploration and subsequent target expansion
- Rapid workflow delivering single-day measurements from library design through assay completion