Life SciencesCompliance evidence produced while the work happens.
Validated environments where a change needs evidence before it ships.
Today
With Emerant
What is changing in Life Sciences
The pressures we hear from leadership teams in this sector, and the ones the work below answers.
Validation needs proof
GxP and quality rules require evidence of how each process actually ran.
Long, costly cycles
A delay in trials or submissions is counted in months and millions.
Many reporting audiences
Investors, ESG frameworks and regulators each want a different view of the same data.
Data locked in documents
Lab, finance and regulatory records live in PDFs and spreadsheets.
How we help in Life Sciences
The capabilities behind our work here. Open one to see what you get, how to start and the result it moved.
The stack most of our clients already own. We build inside it properly (solution-aware deployments, environment strategy and ALM), rather than leaving a sprawl of personal flows behind.
- Start with
- AI Readiness Assessment3 weeks
Case studies in Life Sciences
Life Sciences~350slides migrated into structured dataOffline Investor Relations App for a Global Pharmaceutical CompanyPharmaceutical company · Global · one of the world's largest, app used from the CEO downRead the case
Life Sciences~9Projectedworking days a month backRPA Bank Statement Processing AutomationAccounting and advisory firm · Bulgaria · large pharma, R&D and healthcare clients, several US-listedRead the case
Public Sector~80%Projectedless auditor time per control planOn-Premise AI Internal Audit AssistantPublic agency administering EU funding · internal audit · close to €1 billion a year in paymentsRead the case
Microsoft Power Apps
Tesseract OCR
Python
Node.js
Microsoft Excel
Microsoft Entra ID
Microsoft Power Automate
n8nWays to start in Life Sciences
Fixed-scope first steps we have run against exactly this kind of problem.
Start here
AI Readiness Assessment
Three weeks to separate the processes where AI changes the economics from the ones where it is an expensive way to run a rule.
- Duration
- 3 weeks
- What you keep
- You leave with a defensible position for the board, built or not.
Lab
Emerging Tech Sprint
Two weeks testing one emerging technology against one of your real processes, ending in a recommendation you can act on or drop.
- Duration
- 2 weeks
- What you keep
- 'Walk away' is a legitimate outcome and we will say it.
Bars drawn to scale: one block is one week.
Our view
Clinical data handling, regulatory submissions and R&D operations. Automation here carries a documentation burden that most industries do not have, and we plan for it from the start.
Bring us one process in Life Sciences. We will tell you what it would take.
Not a proposal: a straight read on whether it is worth changing, what it costs and where it usually goes wrong in this sector.