Solutions · Pharmaceutical Sponsors

The trial is behind before it starts. It doesn't have to be.

More studies, the same team, and every timeline you commit to is one you're quietly worried about. Neogeniqs puts an agentic workforce across the whole lifecycle — protocol to submission — so your studies start sooner, stay clean, and stay inspection-ready without the headcount you can't hire.

What you own

Your goals

  • Shorten study start-up and database build timelines
  • Reduce reliance on external vendors for routine deliverables
  • Maintain continuous inspection readiness across the portfolio
  • Keep full traceability and human oversight of every AI output

We know how this feels

The pains we remove

You're asked to run more trials, faster, with a team that isn't getting bigger — and the TMF and the submission package are the two places you know it will show.

  • Study build and CRF design drag on for months, and your best data managers are stuck on setup instead of science
  • You watch TMF completeness quietly slip during conduct, then lose weeks to the pre-inspection scramble
  • Submission datasets and the CSR become the bottleneck in the pivotal crunch — exactly when the clock matters most
  • Every vendor hand-off means version drift and reconciliation work that lands back on your team

And the part no one says out loud:

  • An inspection finding with your program's name on it — because a gap crept into the TMF while everyone was heads-down on conduct
  • A submission date slipping because datasets and the CSR weren't ready, and everyone above you knowing why

Where the agents fit

Every pain, matched to the agent that removes it

The grind you just read isn't abstract — each piece of it already has an agent assigned. Here's which one picks up which fight, so you can see exactly where the help lands before you commit to anything.

Your agentic workforce

The agents that help

These feature agents map most directly to pharmaceutical sponsors. Enable the ones you need, per study and per deliverable, and expand over time.

Outcomes

What good looks like

Quantified targets we build toward with each engagement.

0%
Less manual spec-creation time· target
Weeks→days
Protocol to database build· target
0%
Traceable, human-reviewed AI outputs

Every output is grounded, reviewed, and inspection-ready

The part that sold us wasn't speed — it was walking into conduct without dreading the TMF. The gaps surface while we can still fix them, instead of six weeks before an inspection.
VP Clinical Operations, mid-size sponsor

Illustrative — representative of the workflows we build toward during our pre-launch pilot.

No pressure, straight answers

What you're probably wondering

The doubts that usually surface before a team like yours says yes — answered plainly, including the places where the honest answer is a limit rather than a promise.

Let's see it on your study

See it run on one of your own studies — no pressure, no obligation, and honest answers, including on the limits. We will walk pharmaceutical sponsors through exactly what stays under your control.

← Back to all solutions (by organization and more)