Find and access samples and medical data you need with BioExchange

BioExchange is an AI-driven matching platform connecting you with the samples and data you need from our global network of providers. Immediately see if our network has what you are looking for with a single search across our providers.

How it works

1. Search

Immediately see how many samples and datasets across our provider network meet your needs with our AI-driven matching engine.

Immediately, for preliminary matches

2. Match

We will confirm the provider(s) has what you are looking for and you can review all matches’ details.

1-3 wks, based on request complexity

3. Exchange

Connect directly with providers to exchange data and samples

1-3 weeks, depending on provider

What our customers are saying . . .

“Compared with direct academic collaborations, Specie Bio is faster, easier, and has saved us time and money to get to the data we need.  The paperwork for MTAs has been very easy to work with and the Specie Bio team has helped us find samples we weren't sure could be sourced.”

- Katie Pfeiffer, Co-founder, R&D Team, Infinimmune

“We were looking for FFPE samples across multiple disease types for our pharma clients to run important preclinical studies. After months of searching for samples with the necessary clinical criteria and coming up with nothing, we were unsure we could run the study. Specie Bio was able to match us to a provider almost immediately, and we were able to successfully complete the project.

Since then, every time we have new studies ourselves or with pharma, we always search with Specie Bio first and they are able to match us with the right providers every time, so samples are never our bottleneck anymore.”

- John Butler, CEO, QuantumCyte

How AI-driven matching engine harnesses untapped samples and medical data

Managing varied data from disparate sources

To handle the variability in breadth, depth, and structure of inventory and medical metadata from providers in a scalable manner, we developed an AI-driven ingestion workflow that evaluates and harmonize data across providers and streamline the matching process.

Interpreting researcher requests

To ensure that we can match requests accurately, we trained models to map inclusion and exclusion criteria from a researcher’s natural language request to information from inventory and medical metadata from our provider.

Matching requests to sample and data inventory from providers

Our matching engine then leverages our custom built multi-step Al workflow to apply the inclusion and exclusion criteria to the full set of inventory from our providers and rank the results in order of relevance. This determines which providers are most likely able to fulfill a request.

Why BioExchange

4M+ samples with linked medical data across the following disease areas and sample types

Frequently Asked Questions