OUR STORY
From the very beginning, one principle guides everything behind PreQlinic: make decisions explicit before capital is committed. Too often in preclinical development, critical choices remain implicit and risks surface only after time, money and credibility are spent. PreQlinic makes reasoning visible upfront, so teams can commit with confidence. Because in preclinical development, clarity isn’t just efficiency - it’s survival.
Our Experience
We spent years working alongside early-stage biotechs, CROs, academic labs, consultants, and regulators - embedded in the reality of getting programmes from concept to clinic. Across different teams, modalities, and geographies, we kept seeing the same pattern.
Repeating issues
Through our industry experience we found programmes were rebuilt from scratch, key assumptions weren’t explicit and risks surfaced late - often after capital was committed.
our Motivation
Our team is motivated by the challenge of fixing what’s broken. We are drawn to complex, inefficient processes and unclear decision-making, applying rigour, evidence, and expertise to restore confidence and improve outcomes.
Seeing the Gap
Preclinical development is driven by regulation, logic, and sequencing. But in practice, those drivers are scattered across documents, vendors and institutional memory. Planning and execution drift apart. Decision rationale disappears and when something changes – as it always does – teams are left reacting instead of steering.
We realised the problem wasn’t a lack of expertise. It was a lack of shared, explicit decision infrastructure.
How AI filled the gap
AI wasn’t introduced as a replacement for experts. It came in as support.
At first, we used AI to assist with research, regulatory interpretation, and drafting – always under human oversight. The goal was never automation for its own sake, but clarity: making the reasoning behind plans visible, testable and defensible.
Then we formalised what had previously been implicit.
- Regulatory-driven activity mapping
- Deterministic sequencing of preclinical work
- Explicit dependencies between studies
- Transparent costs, timelines, and trade-offs
What had once lived across meetings and documents became structured, reviewable logic.
THE DIRECTION
We continue to evolve our platform and our thinking.
PreQlinic Today
PreQlinic™ is now an AI-enabled, rules-based platform designed to make preclinical decisions explicit before execution begins.
It helps teams see what they’re committing to – scientifically, operationally, and financially – while there’s still time to change course. Assumptions are visible. Risks are surfaced early. Decisions are traceable.
The platform is currently deployed through a controlled validation programme, working closely with real development teams to ensure it meets the standards required for regulated, high-stakes environments.
where we are going...
Our vision is a compliant, secure decision infrastructure spanning the full preclinical lifecycle:
- Planning and programme design
- Study execution and vendor coordination
- Regulatory documentation
- Multi-jurisdictional development pathways
Not just a tool, but a foundation teams can build on with confidence. PreQlinic provide various services across the preclinical lifecycle. See our services below.