Expert-quality SAPs at AI speed

Purpose-built regulatory intelligence for clinical-trial biostatistics, combining evidence-grounded AI systems with expert human review.

5
Programs supported
100%
Source-traced outputs
Power Analysis Dashboard
Drug Landscape Analysis
Relevant Trials & Statistical Decisions
Agent Recommendations
Drug Comparison
Landscape Report
500,000+
Indexed Documents
FDA guidance · CRLs · Statistical reviews · Clinical trial protocols
7 days
Complete SAP Delivered to FDA
Delivered on a live Phase III program
804 hrs
Phase III TFL Shell Production
Delivered to a client, end-to-end
100%
Credentialed Statistician Sign-Off
Before every client delivery, no exceptions

We meet you where you are.

Protocol Review & Design
A single misaligned endpoint can trigger a Complete Response Letter and cost you a year. We stress-test your protocol against FDA guidance, CRLs, and precedent — flagging every gap before it reaches the agency.
SAP Review & Optimization
Under-powered trials fail quietly — sponsors discover the problem after the data is locked. We reassess your sample size, power, and analytic strategy against regulatory precedent so the statistics hold up at submission.
SAP Generation
Waiting weeks for a SAP draft while your timeline burns is the norm — it doesn't have to be. We generate a complete, submission-ready SAP in days, every decision evidence-backed and reviewed by a credentialed statistician.
TFL Generation
Manual TFL production is slow, error-prone, and the last bottleneck before submission. We produce Tables, Figures, and Listings directly from your SAP with full traceability — shell tables to production packages, delivered in hours.

Purpose-built AI for regulated
statistical workflows.

Regulatory Knowledge Base
500,000+ indexed documents. Every recommendation arrives with the exact FDA source — guidance, CRL, or SPA communication — it came from.
Source citation from FDA document
Vector Retrieval 500K+ Docs Source-Locked
Precedent-Aware Agents
Indication-specific agents surface every statistical decision your trial requires — flagging issues, citing evidence, and routing to the right specialist by study type.
Agent review panel showing issues and evidence
Indication Routing Multi-Agent Audit Trail
Expert Review
A credentialed statistician reviews every output before delivery. Nothing leaves the platform without human sign-off.
Final submission-ready SAP document
Human Sign-Off Ex-FDA Submission-Ready

Trusted. Validated. Secure.

Source-locked outputs
Every sentence in a generated protocol is linked to its regulatory or documentary source. Reviewers see exactly where each claim comes from. No guesswork, no exposure.
Template library
Built from publicly available SAPs from leading pharmaceutical companies and CROs, with options tailored to your indication, study phase, and design — so every draft starts from the right baseline.
Regulatory intelligence retrieval
Our platform continuously indexes FDA guidance documents, complete response letters, and agency precedents, surfacing the right regulatory context for your specific indication and phase.
Enterprise-grade security
Your data is never used for model training. Tenants are fully isolated. Secure cloud storage with access controls and audit logging
Team collaboration
Invite statisticians, medical writers, and regulatory leads into a shared workspace. Track changes, comments, and version history across every document.
Protocol & SAP generation
Full draft output for both documents: endpoints, statistical methods, estimands, sensitivity analyses, structured to FDA expectations and ICH E9(R1).
Barbara Elashoff
Barbara Elashoff
Co-Founder & CEO
Former FDA Reviewer

Former FDA statistical reviewer with 20+ years in pharma and biotech. Barbara has reviewed hundreds of protocols and SAPs across pulmonary, autoimmune, metabolic, cardiovascular, dermatology, and analgesia. She has a proven track record of successful regulatory submissions including NDAs, PMAs, 510(k)s, and BLAs. She brings 20+ years of FDA and industry expertise to every engagement.

Shoham Das
Shoham Das
Co-Founder & CTO
AI & Systems Engineer

Software engineer and data engineering leader with a decade of experience building scalable systems across biotech, healthcare, and venture. Skilled in full-stack development, data infrastructure, and AI-powered tools that support scientists, clinicians, and investors—spanning high-throughput experimentation, therapeutic discovery, and portfolio strategy.

Kayla
Kayla Magid
Product Manager

Product Manager with 5+ years of experience building AI-focused healthtech and biotech products, backed by a Master's in Human-Computer Interaction. Passionate about crafting products that are both intuitive and impactful — eliminating friction for end users while solving real problems in the life sciences space.

Matt MacEachern
Matt MacEachern
AI Engineer

Built production systems used by investors, scientists, and internal teams — often collaborating across functions to translate real-world needs into scalable, user-focused software. Background spans both biotech and fintech, with a strong focus on end-to-end development, performance optimization, and delivering real impact through thoughtful engineering.

Labanya Mukhopadhyay
Labanya Mukhopadhyay
AI Engineer

Software engineer with a background in data infrastructure, distributed systems, and ML tooling. She has worked on large-scale data interoperability frameworks, performance optimization across analytical pipelines, and integrating LLM capabilities into data workflows across verticals including healthcare, finance, and developer tooling. She has also been involved in community building aimed at broadening access to tech.

"
BlackCat Bio's AI tool is poised to be a game-changer for our network of consulting statisticians. By ingesting complex study protocols, FDA interactions, and more, it will allow our biostatisticians to move straight to the high-level strategic refinement that matters most. We won't just save dozens of hours. We will ensure a higher baseline of consistency and quality across every project.
Robert Rachford, CEO at BetterBiostatistics
Better Biostatistics
Ready to see what we can do
on your program?

The platform is live. SAP generation, protocol review, SAP review. Bring us your trial and we'll show you what's possible.

Pilot on your program