Regulatory-Grade AI for Life Sciences

Produce submission-ready documents ready for sign off — with the accuracy, traceability, and control required for regulatory approval.

Content Generation is Easy. Submission-Ready Content is Not.

Most AI tools can draft text. But they cannot guarantee what regulatory submissions require:

Accuracy grounded in source data
Full traceability for audit and inspection
Consistent outputs across documents and submissions

This is where most AI tools break. Yseop is what holds up under review.

RECOGNIZED AMONG 300 INNOVATIONS

YSEOP NAMED TO TIME'S BEST INVENTIONS OF 2025

TIME has named Yseop Copilot one of the Best Inventions of 2025 in the Medical & Healthcare category. This honor underscores our leadership in AI-powered automation and our commitment to helping clients bring therapies to market faster.

AI You Can Trust in a Regulatory Submission

Accurate — Not Just Generated

Grounded in your source data and validated against regulatory rules and templates. Less than 7% of content requires re-authoring (GSK production study).

Traceable — Every Claim Accounted For

Every sentence is linked to its source from the start. Full audit trail — ready for inspection at any time.

Repeatable — At Submission Scale

Consistent output across documents, teams, and submissions. Update once, propagate everywhere — without breaking approved content.

Built For How Regulatory Teams Actually Work

Works directly in Microsoft Word

Integrates with Veeva Vault and existing systems

Lock, reuse, and scale approved content across documents

Review, validate, and approve — nothing moves forward without you

AI executes. Humans decide.

Every output is validated, traceable, and approved by your team. Because in regulatory submissions, accountability cannot be automated.

THE NEXT STANDARD FOR AI IN LIFE SCIENCES

The real challenge is not if AI can generate. It is whether that output can be trusted. Achieving regulatory-grade reliability requires a different architectural approach. This is where neuro-symbolic AI becomes critical—and increasingly unavoidable.

Each day that a new drug or vaccine gets to market sooner, it creates $1-3 Million in accelerated revenue

It used to take us a minimum of 4 hours to write 1 patient narrative. Now, it takes 4 seconds to write an unlimited number of them.

We wanted to be certain and very accurate around what we produce in these documents that are submitted to health authorities. We want to deliver a draft through Artificial Intelligence that is 100% reliable and needs no further editing by human medical writers. That is what we have achieved with the Yseop collaboration.

Machine learning is a part of every aspect of Lilly’s future, from drug discovery to clinical trials to manufacturing to patient support. Yseop brings a novel approach to regulatory submissions and other reporting, and we see opportunities to bring Yseop’s technology to teams throughout the enterprise.