For great ideas stuck on the planning deck
The One-Week PoC: see your idea before you spend big money on it.
The hard truth about AI in commercial pharma is that most ideas die in the planning deck. There's no shortage of great ideas — they stall waiting for budget no one will release on a hypothesis. So we built a fixed-scope, fixed-price engagement that turns one idea into a proof of concept in a week*: something you can visualise — a functional prototype, with the workflows and scope you intend to implement — and take into the budget conversation before you commit serious money.
- One idea, in just one week, at a fixed price
- Vision Mapping ties the idea to measurable commercial value and defines exactly what the PoC has to prove
- A proof of concept you own — and can demo to unlock budget
- Then from PoC to MVP in about six weeks*, AI-accelerated and verified by senior engineers at every step
Proof: For HPO TECH, a hyperbaric-therapy medtech innovator, we ran Vision Mapping, delivered a PoC in one week, and shipped a full MVP — device and session management, GDPR and audit, role-based access, and admin dashboards — in six weeks, with AI-assisted delivery raising efficiency an estimated 20–30% under senior oversight.
Read the HPO TECH story →
For teams changing CRM
Change your CRM. Keep your field teams selling.
Changing CRM is one of the most disruptive things you can do in life sciences. But as the CRM landscape shifts, you need your playing field in 2026 — not stuck somewhere in the past. We move your CRM to the new platform while mitigating risk through clean data migration, rebuilt integrations, preserved workflows, and minimal disruption for the field.
- A staged migration that keeps the game going
- Validated data migration
- Integrations, omnichannel touchpoints and reporting rebuilt and verified
Proof: We've built engagement platforms at scale — including a patient engagement platform that delivered 42% faster enrolment and grew into a 45,000+ participant registry. Proof that we ship platforms people adopt, and that move the numbers.
Read the data-migration case →