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Industry

Pharma and Life Sciences

Validated quality, batch and lab systems for pharma plants and life science labs. In pharma every record about a batch may be read by an inspector years later, so systems need audit trails, electronic signatures and documented validation. Indian plants supply domestic markets under Schedule M and export under USFDA and EU GMP, often from the same site. Software fits where batch records, deviations, lab data and document control still move on paper or unvalidated spreadsheets.

  • Formulation manufacturers
  • API and bulk drug makers
  • Contract manufacturers (CDMOs)
  • Analytical and clinical research labs
  • Medical device makers
  • Pharma distributors and C&F agents
Scientist in protective gear working at a microscope in a laboratory

The pressure points

What slows pharma and life sciences teams down

Paper batch records
Batch manufacturing records are printed, filled by hand and reviewed page by page before release. Errors and late entries become inspection findings.
Systems never properly validated
Spreadsheets and small tools run GxP processes without a validation pack, user access control or audit trail.
Deviations and CAPAs drag on
Investigations stall in email, root causes repeat across batches, and effectiveness checks are forgotten.
Data integrity under scrutiny
Inspectors check ALCOA+ principles: who entered what, when, and whether it could have been changed. Shared logins and hybrid systems fail that test.

Built for this sector

Systems specific to pharma and life sciences

The work that generic software does not cover, and where most of the value sits.

Electronic batch manufacturing records
Step by step execution on the shop floor with equipment status, line clearance, yield calculations and QA review before release.
LIMS integration
Sample login, test results and certificate of analysis flowing between LIMS, chromatography data systems and batch release.
Serialisation and track and trace
Unique codes on primary and secondary packs, aggregation to shippers, and reporting for export market requirements.
Validation documentation
URS, risk assessment, IQ, OQ and PQ protocols and traceability matrix produced alongside the build, following GAMP 5.

Where AI helps

AI use cases with a clear return

  1. Deviation and CAPA drafting

    Drafts the deviation description, impact assessment and probable causes from batch data and past investigations, for QA to review and sign.

    Investigations start from a complete draft

  2. SOP and investigation search

    Answers questions across SOPs, past deviations and audit responses, citing document and version.

    Similar past cases are found before a repeat CAPA is raised

  3. Artwork and label checking

    Compares printed artwork proofs against approved text, flagging differences in strength, batch fields and regulatory statements.

    Label errors caught before printing

  4. Batch record review support

    Highlights out of range values, late entries and missing signatures in executed batch records for the reviewer.

    Faster review with exceptions in front of QA

  5. Demand forecasting for slow movers

    Forecasts demand for low volume SKUs from secondary sales and seasonality to plan campaign batches.

    Less near-expiry stock in the channel

What your team would see

Quality overview
Illustrative
Batches awaiting QA release
23
Open deviations
41
CAPAs past due date
6
Right first time batches
94%

Average days to close a deviation

Average days to close a deviation, point 1: 38Average days to close a deviation, point 2: 36Average days to close a deviation, point 3: 35Average days to close a deviation, point 4: 33Average days to close a deviation, point 5: 31Average days to close a deviation, point 6: 30Average days to close a deviation, point 7: 27Average days to close a deviation, point 8: 26Average days to close a deviation, point 9: 24Average days to close a deviation, point 10: 22

Deviations by category

  • Documentation34
  • Equipment22
  • Process18
  • Materials15
  • Environment11

A sample of the kind of dashboard we build for this sector. Figures are illustrative.

Connects with

  • SAP and Oracle ERP
  • LIMS
  • Chromatography data systems
  • Weighing balances and scales
  • Building management and environment monitoring
  • Serialisation line controllers
  • Field force and stockist systems

Rules we design for

  • Schedule M
  • CDSCO requirements
  • 21 CFR Part 11
  • EU GMP Annex 11
  • GAMP 5
  • Drugs and Cosmetics Act 1940

Before you start

Pharma and Life Sciences: common questions

Do you deliver validated systems?

We build to a validation plan and supply the documents: URS, functional specs, risk assessment, test protocols and traceability. Your QA owns the validation and approves each stage.

Can AI be used in a GxP process?

Yes, as an assistant. It drafts and highlights, a qualified person reviews and signs, and the system records both the AI output and the human decision.

We have an old LIMS. Do we replace it?

Not necessarily. We often integrate with the existing LIMS and CDS, and replace only where the system cannot meet data integrity requirements.

Talk to us

Working in pharma and life sciences?

Tell us which process hurts most. Someone who knows the sector will reply with two or three options and rough hours.

All industries
Timeline

Start a conversation

Tell us what you are trying to build.

Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.

Or get a ballpark proposal in two minutes

A specialist replies within one working day. The first conversation is free.

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