Pharma & Medtech · Now opening

You built the EU-GMP facility. Now make the data audit-defensible.

Data-first, sovereign AI for Good Manufacturing Practice (GMP) manufacturers — India-first, engineered for the EU-GMP export gate. We fix the data integrity, integration, and operating model underneath the models — on-prem, inside your firewall, ALCOA+ by design.

The Discovery Workshop is 100% credited against your pilot · request pricing

Why pharma is different

In regulated manufacturing, the data is the risk.

AI in a GMP plant isn't a model problem — it's a data-integrity and sovereignty problem. Two forces decide whether an initiative survives contact with an auditor.

Audit-defensibility

Data integrity is the export gate

Every AI output has to trace to attributable, contemporaneous, ALCOA+ data. Get the fabric right and the same evidence that trains the model passes the audit. Get it wrong and a single data-integrity finding stalls the export.

Sovereignty

Your process IP can't leave the plant

Formulations, batch genealogy and yield data are your crown jewels — and increasingly subject to residency rules. Sovereign, on-prem deployment keeps sensitive data inside the plant walls by architecture, not policy.

~80%
of enterprise AI projects fail to reach production — blocked by data and governance, not model quality.
~60%
of FDA warning letters to Indian sites cite data-integrity issues — against ~10% for U.S. sites.
1 finding
can trigger an import alert — detention-without-inspection that stalls the regulated-export thesis.

Figures are published third-party benchmarks, not Cloudster outcomes. Actual results depend on baseline maturity and scope.

What we deploy

GxP use cases, on one sovereign fabric.

The data model comes first — so each use case deploys onto the fabric the last one built, not as another integration project.

Quality release

Batch-record review by exception

Surface only the deviations that matter across electronic batch records — cutting review effort while keeping QA in the loop, on grounded, on-prem reasoning.

Data integrity

ALCOA+ data-integrity fabric

Unify quality and production data into one traceable, attributable record — audit-ready across LIMS, MES, historian and ERP.

Vision QC

Vision QC on fill & pack lines

Automated inspection for fill level, seal, label and pack integrity — every result traceable to batch, line and shift.

Uptime

OEE & predictive maintenance

Predict failures on GMP lines from fused equipment and maintenance data — the recommended first pilot on your best-instrumented assets.

Where to start

Don't boil the ocean. Two pilots, in order.

Because the data model comes first, the sequence is deliberate — prove the fabric on low-risk telemetry, then put the sovereign reasoning layer on top of it.

Pilot 01 · Start here

Line performance & OEE — on the line you just built

The fastest, most board-legible win protects the asset you just funded: availability, yield and downtime are numbers your board already tracks. No new floor hardware, near-zero regulatory risk — and it proves the data fabric on real production telemetry in weeks. Published pharma OEE benchmarks put recoverable hidden capacity in the range of 8–12 OEE points.

Pilot 02 · Fast-follow

Batch-record review by exception

Once the fabric exists, the sovereign reasoning layer sits on top of it. Manual batch-record review is where export batches lose days and QA loses capacity — and where incomplete deviation linkage becomes a finding. Published batch-release benchmarks put review-time reduction in the range of 30–60%, with GMP data never leaving the firewall.

Benchmark ranges are published industry figures (SCW.ai, ISPE), not guaranteed Cloudster outcomes — actual results depend on baseline maturity and scope.

How it's different

GxP-native — not a generic AI bolt-on.

  • CSV / CSA-aware — validation built into delivery, not retrofitted afterwards.
  • Integrates EBR, LIMS, MES, historian & ERP — no rip-and-replace.
  • Sovereign, on-prem / edge — inside your firewall, residency-compliant.
  • ALCOA+ by design — every output traces back to attributable data.
  • Human-in-the-loop decision rights — QA approves; AI assists.
  • Vendor-agnostic — best-in-class specialists, one accountable system.
How we start

A disciplined on-ramp — not a big-bang program.

Every new vertical earns its pilot. Pharma starts with a fixed-scope Discovery Workshop that de-risks the first move before you commit to a program.

Step 01

Discovery Workshop

Map the highest-value, audit-defensible use case against your real data maturity. 100% credited against your pilot.

Step 02

Pre-work & data-access checklist

A concrete readiness and data-access plan — so the pilot starts on solid ground, not assumptions.

Step 03

Pilot SOW

A scoped, sequenced, priced pilot on the priority use case — with a CFO-ready business case.

Request pricing · ₹ ex-GST · Discovery Workshop 100% credited within 90 days.

Who this is for

Export-ambitious branded-formulations manufacturers preparing for — or scaling — EU-GMP supply, where a data-integrity finding is the difference between shipping and stalling.

Open the pharma conversation.

Bring your export ambition and your data reality to a Discovery Workshop — we'll map the first audit-defensible pilot, on your baseline.

Book a Discovery Workshop