Commercial front door
California biotech, clinical, AI and investment relationships with reach across the US.
Welcome to WordPress. This is your first post. Edit or delete it, then start writing!
Los Angeles · London · India
Senior-led · Project-scoped · Globally connected
The decision layer for modern drug development.
VED helps biotech leaders decide what matters, assemble the expertise to deliver it, and adopt AI where evidence and control—not hype—justify its use.
010203
Resolve the decision
A senior-led sprint for one clinical, regulatory or evidence question that materially changes programme value.
Deploy the capability
A fractional leader, focused expert pod or pivotal permanent hire matched to the work ahead.
Assure the AI workflow
Domain evaluation and controlled pilots for life-sciences AI builders and R&D adopters.
A focused commercial model
Sell an outcome now.
Build an advantage from what repeats.
VED is not positioned as a generalist CRO or a résumé marketplace. The business begins with senior decisions clients already buy, adds verified expert delivery, and turns repeated, authorised work into better methods, evaluation structures and—only when proven—software-enabled products.
How the company is being built
Immediate revenue engine
Senior judgement, packaged so a lean team can buy it.
Each engagement has a defined question, source set, owner, timetable and output. The aim is not another slide deck. It is a defensible decision the programme can execute.
- 01Clinical and regulatory pathway decisions
- 02Dose, expansion and registrational transitions
- 03FDA, EMA and MHRA interaction strategy
- 04Independent programme and diligence review
Defined entry points
Easy to scope.
Serious enough to matter.
Start with the smallest engagement that can change the decision. Extend only when the next layer of work is justified.
01
10 business days
Programme Decision Sprint
Decision memo, assumption register, risk map and a named 90-day action plan for one consequential programme question.
View the engagement 026–10 weeks
Health-Authority Sprint
Meeting objective, questions, sponsor positions, briefing direction, rehearsal and advice implementation.
View the engagement 03Monthly
Fractional R&D Leadership
Senior regulatory or integrated-development ownership before a full-time organisation is justified.
View the engagementDelivery and reach
A curated expert network—built around the work.
VED is building a focused network across the US, UK, Europe and India. Experts are matched only after relevant experience, availability, location, conflicts and engagement preferences are checked.
RegulatoryXEmerging capability
The scalable layer
Build the evidence layer between AI demos and regulated work.
RegulatoryX is not presented as finished software. It is the US-based route for paid AI evaluation and workflow pilots: expert-authored tasks, rubrics, failure analysis, human review and measurable acceptance criteria.
NowPaid expert evaluation and workflow pilots
NextReusable, permissioned task and failure libraries
LaterBenchmark and software-enabled products after demand is proven
Three buying contexts
Different pressures.
The same need for judgement.
Each route explains the problem VED is equipped to solve, the most credible first engagement, and what should remain outside scope.
01
Emerging biotech
Move an asset through its next value inflection without carrying large-company overhead.
View your route 02Life-sciences AI
Test products against realistic drug-development work, expert standards and accountable use.
View your route 03Investors and boards
See pathway, evidence, execution and capability risk before committing capital.
View your routeOne controlled footprint
Close to the client.
Connected to the right expertise.
Regulatory depth
Longstanding UK and European operating experience across globally connected programmes.
Expert and delivery reach
Specialist capacity used only with explicit scope, senior oversight and secure information boundaries.
Working ideas
Frameworks that earn a serious conversation.
Practical thinking on programme decisions, expert operating models and trustworthy AI adoption.
Start with the constraint
What must your programme decide, prove or deliver next?
Share the situation, evidence and timing. We will propose the smallest credible first step.