FAQ

FREQUENTLY ASKED QUESTIONS

If you have further questions, we would love to hear from you.

FAQ

TECHNOLOGY & APPROACH

Traditional tools (Asana, Monday, etc.) manage tasks, not science. PreQlinic™ encodes regulatory logic, timelines, costs and interdependencies specific to preclinical development. It doesn’t just “track work” – it predicts, sequences, and interprets work through a regulatory lens.

The database is the backbone, but the intelligence lies in how it’s interrogated. Deterministic sequencing produces compliant workstreams, discriminative logic classifies risks and generative AI produces expert-style commentary for specialist review. Together, these three layers transform raw data into actionable strategy.

Two converging forces: (1) biotech founders are leaner, outsourcing almost everything, and (2) AI tools are gaining greater acceptance with regulators. The industry is primed for a platform that saves both time and capital.

FAQ

Reliability & Trust

We constrain the system. The deterministic database sets hard boundaries; AI never invents milestones or costs outside validated ranges. Generative output is reviewable, flagged with sources, and designed to mimic expert commentary, not fabricate data.

The database is populated with regulator-anchored activities (ICH, FDA, EMA guidance), costings from real vendor quotes and workflows from lived preclinical experience. AI acts as the explainer and contextualizer, not the originator of science.

Human oversight remains essential. AI accelerates and enforces structure, but final review is performed by our team of specialists, ensuring accountability and credibility.

FAQ

Value to Founders

They waste up to 30% of budgets on duplicated, mis-sequenced, or regulator-rejected work. PreQlinic™ provides a single, accountable roadmap: clear milestones, costs, and investor-ready documentation.

It gives them the equivalent of a “virtual preclinical team” in a dashboard. Instead of chasing vendors and consultants piecemeal, they can see the full pathway with context for every decision.

No, it orchestrates them. CROs still run studies, consultants still advise, but PreQlinic™ ensures the sequence, costs and outputs align with investor and regulator expectations.

FAQ

VALUE TO INVESTORS

Because poor execution is the  number 1 reason biotech portfolios underperform. Investors want capital efficiency and de-risked milestones. PreQlinic™ shows exactly where money goes and when value inflections are hit.

Yes. Saving 20–30% per program compounds across a portfolio. For a VC running 10 projects, that could free £5–10m in capital for the same stage progression.

Regulator-ready documentation, transparent milestones, and predictable execution make assets more attractive for licensing or acquisition. That directly increases investor returns.

FAQ

MARKETING & POSITIONING

The UK/EU preclinical services market is £1.5–3.6bn. Our target is the 5-10% slice spent by lean startups and venture-backed programs – an addressable £200–400m segment. Post validation in the UK we will look to open other markets.
Nobody in this format. CROs deliver science, SaaS tools deliver project management, consultants deliver advice. PreQlinic™ unifies all three into one accountable, AI-enabled workflow, backed up with human experts to review all outputs.

Because they’re under investor pressure to spend smarter, faster and with greater transparency. If one company in a cohort uses PreQlinic™, the others risk looking sloppy by comparison.

FAQ

Team &
EXECUTION

PreQlinic™ is a business-first solution. The concept was designed from real biotech pain points – budget waste, vendor chaos, regulatory delays. We used AI itself to assemble the MVP, structuring the database, workflow engine and commentary layers. That proves the model before a single line of custom code was commissioned.
The leadership team covers the bases: Alastair (CEO) leads strategy, development, and marketing; Vish (COO) manages operations, investor narrative and financing; Shellie (CSO) provides scientific/regulatory authority.

Because it already works. Input an indication and other parameters and the system generates a compliant roadmap with expert commentary. It’s not replacing scientists – it’s codifying their workflows, then using AI to structure and explain them. 

The “Q” stands for Quality – the foundation of everything PreQlinic™ represents.
 
It reflects a commitment to rigor, reliability and readiness for regulatory scrutiny – “quality by design” built into every process. From data integrity to documentation standards, quality defines how the platform operates and how progress is measured.
 
PreQlinic™ exists to make that principle practical: ensuring that every preclinical program runs with the same discipline, transparency and confidence that regulators – and investors – expect.