200+
Hours saved across commercial workflows
AI-powered commercial intelligence for life sciences
From evidence discovery and compliant content creation to smarter sales targeting, BioStrive's flagship platform, Emporia, powers life sciences commercialization through one AI-powered platform.
Built for life sciences commercial teams
Turn complex data into commercial impact
Emporia helps teams discover evidence, create compliant content, analyze markets, and identify high-value sales opportunities, all in one AI-powered platform.
$3M+
Potential annual savings across commercial teams
20%
More relevant outputs than baseline models
Pilot in weeks, not quarters
See how Emporia can accelerate your commercial strategy
Book a focused demo to explore your workflow, from evidence discovery and compliant content creation to market intelligence and smarter sales targeting.
Emporia workflows
Four workflows. One engine for commercial impact.
Explore AI literature search, claims matrix creation, compliant collateral generation, and payer point of service data-powered sales targeting, all connected in one seamless platform.
AI literature search
One workflow to find the evidence that matters
Emporia searches, ranks, and organizes literature across PubMed and ClinicalTrials.gov so teams can uncover relevant evidence faster and move it directly into their commercial workflows.
PubMed & ClinicalTrials.govAI relevance rankingCompetitive monitoring
Key capability
Search smarter, not longer
Search clinical and economic literature using filters for disease area, product, journal, and study design, all from one platform.
Key capability
Surface the strongest evidence
AI-powered relevance ranking brings the most valuable studies to the top, helping teams focus on high-impact evidence first.
Key capability
Stay ahead of the competition
Monitor competitor publications and clinical trials with automated daily, weekly, or monthly alerts, ensuring your team never misses a meaningful update.
Live workflow
Data handling and privacy
Built to protect evidence at every step
Emporia applies privacy, encryption, access control, and traceability safeguards across the complete commercial intelligence workflow.
Model use No customer-data trainingEncryption In transit and at restAccess User scoped
01
Private model use
Customer content is processed for inference only and is not used to train foundation models.
Stateless agent runs and bounded tool permissions limit data access to the active workflow.
02
Encrypted throughout
TLS protects data in transit, with Azure-managed AES-256 encryption at rest across storage services.
Configurable retention and cascade deletion provide control across the content lifecycle.
03
Scoped access
JWT authentication, role-based controls, and short-lived access tokens protect each session.
User-scoped authorization and storage boundaries isolate content across accounts.
04
Traceable workflows
Claims remain linked to source passages and page-level evidence for efficient human review.
Security-relevant events and release metadata support operational and incident traceability.
Our team
Meet the BioStrive team
We build Emporia at the intersection of life sciences and applied AI.
FAQs
FAQs
Emporia currently supports two source paths: direct PDF uploads and saved PubMed literature items (including synthetic PDFs when full text is unavailable). You can combine these in one chat, with a current cap of 10 total sources.
Emporia generates a structured claims matrix from your source set, then runs claim tracking so teams can review annotated source PDFs alongside the matrix.
Each claim is linked back to source evidence through citations and claim-tracking annotations. Teams can open claims and verify supporting passages directly in the source documents.
Yes. You can upload PDFs, attach saved literature items, and generate one matrix from the combined set. In the current product, source setup must be finalized before the first generation turn, after which the source set is locked.
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 uses TLS in transit, Azure-managed encryption at rest, JWT-based authentication, and user-scoped data isolation patterns across storage layers. Customer content is processed in inference-only mode and is not used to train foundation models.
Yes. Emporia supports matrix exports in CSV and XLSX so teams can share outputs in existing review workflows.
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 will also discuss your review workflow so outputs align with how your team approves and deploys claims.
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