Specie Bio operates an AI-driven platform that connects researchers with global providers of biological samples and multimodal medical data. This streamlined process facilitates the exchange of samples and data rapidly, significantly accelerating scientific research and development timelines. The platform enables users to efficiently source diverse assets, including genomics, imaging, and clinical data, from a trusted network of health systems and biobanks.
Funding
Funding not disclosed
Founders
Product
Problem
Life science researchers face challenges in efficiently locating and acquiring relevant biosamples and associated clinical data from disparate sources. This difficulty hinders scientific advancement and AI development due to limited access to biological materials and data. Traditional methods for sharing biospecimens are often inefficient, leading to underutilized samples and missed opportunities for critical research.
Solution
Specie Bio offers an AI-native BioExchange platform that streamlines the process of finding and accessing biosamples and multimodal clinical data. The platform aggregates inventory from a network of provider partners, including health systems, research institutes, medical centers, and biobanks. Researchers can submit requests with complex inclusion and exclusion criteria, and the AI-driven matching engine identifies relevant samples and data. Once a match is confirmed, the platform facilitates direct connections between researchers and providers, enabling efficient exchange through a streamlined agreements process.
Target Audience
The primary users are life science researchers in medical and pharmaceutical companies, research institutions, and biobanks seeking to accelerate scientific research and AI development through efficient access to biosamples and clinical data.
Features
- AI-driven matching engine to identify relevant biospecimens and clinical data based on researcher requests.
- Aggregated inventory of over 2M+ banked biospecimens with linked multimodal clinical data.
- Access to data from 60M+ annual patient visits across the provider network.
- Support for multimodal data, including treatment history, genetic test results, multiomics, imaging, and digital pathology data.
- Facilitation of prospective sample collection based on specific patient populations and researcher protocols.
- Streamlined agreements process to enable direct connections and efficient exchange between researchers and providers.
- Data ingestion engine that processes various forms of inventory metadata to automate request matching.