ITGxP

Industries

Where we work.

Each engagement is shaped by sector-specific regulatory expectations and operational rhythms. The pattern is the same; the constraints aren't.

Sectors

Industries served

Tap into a sector's specific shape: pressure, approach, outcome.

Life Sciences

Validated systems across R&D, manufacturing, and commercial.

The pressure

Discovery moves at engineering speed, manufacturing moves at regulatory speed, and commercial moves at market speed. Systems that span all three rarely stay coherent.

How we engage

We deliver a unified operating model across the value chain — lab informatics, MES integration, and commercial platforms — under one validation lifecycle and one governance.

What changes

Inspection-ready systems that don't slow R&D down, and an evidence trail that holds up at audit time.

−40%

audit prep cycle time

See cases

Pharmaceuticals

GxP-grade IT for development, supply, and quality.

The pressure

Quality, manufacturing, and supply-chain platforms each have their own validation history. Migrating any one of them risks invalidating the others.

How we engage

Risk-based CSV, structured re-validation, and integration patterns that maintain compliance during transition — not just after.

What changes

Modernization that doesn't put inspection-readiness on pause.

14 sites

re-validated under one program

See cases

Biotechnology

Move at biotech speed without losing compliance.

The pressure

Lean teams, fast iteration, regulatory ambition that grows by the quarter. Most off-the-shelf validation patterns are built for organizations 10× the size.

How we engage

Lightweight CSV templates, cloud-native infrastructure, and fractional offshore pods that scale with the company.

What changes

A foundation that holds up at Series A and still holds up at IPO.

8 wks

from kickoff to validated production

See cases

Healthcare

Reliable IT for clinical and operational systems.

The pressure

Clinical workflows can't tolerate downtime, but operational platforms have to evolve fast. The IT team carries both expectations.

How we engage

Managed services with 24/7 coverage, cloud-native data platforms with governance baked in, and AI-assisted ops to keep alert noise down.

What changes

Reporting that's 3× faster without the operational fragility that usually comes with it.

faster operational reporting

See cases

Medical Devices

From design controls to post-market surveillance.

The pressure

Software-as-medical-device pulls engineering and regulatory together — and most tooling assumes you only need one or the other.

How we engage

End-to-end CSV programs, design-control alignment, traceability matrices, and quality-system tooling that fits the regulatory pathway.

What changes

Inspection-ready software releases on a cadence the engineering team can actually sustain.

100%

traceability across requirements

See cases

Enterprise Technology

Modernize without the operational debt.

The pressure

Legacy estates, cloud migrations halfway done, and a managed-services contract that's stopped delivering. Familiar territory.

How we engage

Cloud migration, application modernization, integration, and 24/7 managed support under SLAs that hold up under scrutiny.

What changes

Cost down, reliability up, and a transition the business can stand behind.

−30%

cloud spend after optimization

See cases

Data-driven Organizations

Data architecture that turns into decisions.

The pressure

Pipelines that nobody trusts, dashboards that contradict each other, and an analytics team spending its time on plumbing instead of analysis.

How we engage

Data integration and architecture, BI platforms, and a governance foundation so the answers are defensible.

What changes

A single source of truth and analytics velocity that actually compounds.

9 → 1

source systems unified

See cases