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Cloud Intelligence Solutions

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Pharma & Life Sciences Data Analytics

Move Research Forward Without Compromising Data Integrity

Pharmaceutical, biotech, and medical device companies bring us in to build data platforms and analytics that hold up to regulatory scrutiny. Our work spans research data, clinical operations, supply chain traceability, and commercial insight.

What We Deliver

Where We Make the Difference

Life sciences teams need faster answers from research, clinical, and commercial data, but every system that touches regulated records must preserve integrity. Speed and compliance often feel at odds. We design with GxP expectations in mind from day one, so validation is planned into the work rather than added at the end.

01

Integrity Built Into Design

Audit trails, role-based access, electronic signature support, and data lineage are designed in from the start to respect 21 CFR Part 11 and EU Annex 11 expectations.

02

Research and Clinical Data

Clinical trial, biomarker, and real-world evidence data harmonized to standards such as CDISC SDTM give scientists and clinical operations one reliable place to explore results.

03

Serialization Data Visibility

Integration with your serialization and track-and-trace systems brings product movement data into analytics that support DSCSA and EU FMD obligations and faster investigation of exceptions.

04

Commercial and Launch Insight

Prescription, claims, and field activity data combine in governed models that show launch uptake, market access trends, and field force performance by territory.

Our Approach

How We Deliver Pharma & Life Sciences

  1. Step 1: Classify Regulated Data

    We identify which data and systems fall under GxP, map your current validation documentation, and agree on where risk-based controls are needed.

  2. Step 2: Design for Validation

    Requirements, risk assessments, and design specifications are written before development, so your quality team can plan computer system validation alongside the build.

  3. Step 3: Build and Test With Evidence

    Development follows documented test scripts, with results and deviations recorded to support your IQ, OQ, and PQ activities and your quality team's review.

  4. Step 4: Keep It in a Validated State

    Change control procedures, periodic review support, and clear documentation help your team keep the system compliant as data sources and requirements change.

FAQ

Common Questions

Something we did not cover? Ask us directly.

Do you validate systems for us?

Your quality organization owns validation and release. We plan the work around your validation approach, produce the requirements, design documents, and executed test evidence it needs, and support your team through review.

Can cloud platforms be used for GxP workloads?

Yes, with the right controls. Major cloud providers publish guidance for regulated life sciences workloads, and we design configurations, access, and audit logging to fit your quality system.

Do you replace our clinical or quality systems?

No. We integrate with the systems you already run, such as EDC, CTMS, LIMS, and Veeva, and build analytics on top of them without disturbing their validated status.

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Next Step

Tell us where your data, applications, or workflows are slowing your team down. We'll discuss your priorities and identify a practical starting point.