Generate compliant, evidence-linked product claims from clinical literature — in minutes, not weeks.
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AI-powered claim intelligence for life sciences
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Turn complex source documents into structured, review-ready claims
Upload clinical studies, economic analyses, and regulatory documentation. Emporia extracts evidence across multiple PDFs and generates a unified claims matrix in seconds.
Built for
Life Sciences & Marketing Teams
Generate a claims matrix, trace every claim to evidence, and export review-ready outputs.
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Built with privacy and responsible data handling in mind
Emporia is designed to respect the sensitivity of clinical and regulatory data. User documents are processed only for claim generation and traceability, are not used to train models, and are handled within isolated workflows. We work with industry-standard infrastructure and apply best practices for secure data transmission and storage.
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Our Team
Meet the BioStrive Team
We build Emporia at the intersection of life sciences and applied AI—focused on turning complex source documents into structured claims and traceable evidence for faster review.
Ruemon Bhattacharyya
Co-Founder and Chief Executive Officer
Lev Afonine
Co-Founder and Chief Financial Officer
Evan Li
Chief Science Officer
Alexander Le
Chief Technology Officer
Madeline Abellera
Director of Growth
Nikita Katyshyn
Fullstack Software Engineer
Zach Wood
Fullstack Software Engineer
Dilan Doshi
AI Software Engineer
Jaden Cutinha
AI Software Engineer Intern
Neet Patel
AI Software Engineer Intern
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FAQs
Emporia works best with clinical and economic publications, regulatory documentation, and other source materials that support product claims. In the current version, you can upload PDFs and generate a unified claims matrix across multiple documents.
Emporia generates a structured claims matrix from your uploaded sources. Claims can be refined through an interactive workflow and exported for downstream review and collaboration.
Emporia is designed to help teams connect claims back to source evidence during review. Depending on your workflow and document set, Emporia can surface citations and supporting passages so stakeholders can quickly verify what each claim is grounded in.
No. Emporia accelerates drafting and evidence organization, but final approval should always come from your internal medical, legal, and regulatory stakeholders. Emporia is built to make that review faster and more consistent—not to replace it.
Emporia aims to produce high-quality drafts grounded in your source documents, but outputs should be validated by your team—especially for nuanced clinical language. The workflow is designed to make verification easy by keeping claims tied to the underlying sources.
Emporia is built with privacy and responsible data handling in mind. Documents are processed only to support your workflow and are not used to train shared models. For enterprise requirements (data retention, deployment options, and access controls), contact us to discuss your needs.
Yes. Emporia supports exporting claims in common formats (e.g., CSV/Excel) so teams can share, review, and iterate in existing workflows. If you need deeper integrations, we can discuss enterprise options.
Most teams can generate an initial claims matrix quickly and then iterate through review cycles with significantly less manual extraction work. The biggest wins show up when multiple stakeholders need to verify claims against the same set of sources.
Emporia is built to support life sciences teams of many sizes—from resource-constrained biotech groups to business-unit teams inside large organizations. We typically start with a focused pilot and expand based on results.
Yes—schedule a demo and we can walk through Emporia using your document set. We’ll also discuss your review workflow so outputs align with how your team approves and deploys claims.
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Get in Touch
Have questions about Emporia or want to explore how it fits your workflow? Reach out to schedule a demo, discuss use cases, or start a conversation with our team.
Contact Information
Location
San Francisco, CA