Industries

Life Sciences

In a validated environment, a change to a system is a change to a controlled process. We build data platforms and integrations that can carry that weight, and the documentation that keeps them compliant.

Validated data platforms

Validation is cheaper when it is designed in. We produce the qualification evidence alongside the build instead of reconstructing it in the weeks before an audit.

01

GxP-compliant pipelines

Data flows built under change control, with IQ, OQ and PQ evidence generated as the pipeline is built rather than assembled retrospectively.

02

Lab system integration

LIMS, ELN and instrument data brought into one place, with instrument output captured in its raw form so results stay reproducible.

03

21 CFR Part 11 controls

Electronic records and signatures, audit trails and access control implemented to the letter — including the retention requirements that are usually skipped.

04

Clinical data management

EDC integration, SDTM mapping and the transformations between them, versioned so a submission can be reproduced years after the fact.

Research and manufacturing analytics

Once the data is trustworthy, the questions get more interesting. These are the engagements that tend to follow a platform build.

01

Research data lakes

Assay, genomic and screening data in one governed store, with the metadata that keeps it findable two years after the scientist who produced it has moved on.

02

Manufacturing and batch analytics

Batch records and process data analyzed for deviation patterns, with every result traceable back to the batch it came from.

03

Submission readiness

Datasets, define files and traceability prepared to the standard a regulatory submission actually requires.

Validated by design, not by remediation.

Retrofitting evidence onto a finished system is the most expensive way to reach compliance, and the least convincing one.

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