DMN_PHR

Pharma & Life Sciences

Validated lab software, AI-assisted research analytics, and traceable supply chain systems for regulated production.

Lab Data SystemsBatch TraceabilityResearch AI
Scientist working with laboratory glassware and samples in a pharmaceutical research lab

TECHNOLOGY FOR PHARMA & LIFE SCIENCES

[ Overview ]

Pharmaceutical and life sciences companies operate in one of the most regulated environments in industry. Every batch, test result and process change must be recorded accurately and be traceable, which places heavy demands on the software that supports research, manufacturing and distribution.

Netstatic Solutions builds custom software for pharma manufacturers, contract research organisations, labs and biotech teams. We create lab data systems, traceability platforms, analytics tools and AI-assisted research utilities that replace paper and spreadsheet processes with structured, searchable and auditable digital workflows.

Our engineering is built with data integrity principles in mind, including attributable, legible and contemporaneous records, role-based access and complete audit trails. We support your quality and validation teams with clear documentation, so software fits into your regulated way of working.

INDUSTRY CHALLENGES

[ The Problem ]

[01]

Data integrity requirements

Regulated records must be attributable, complete and protected from silent alteration, which spreadsheets and disconnected tools cannot reliably guarantee.

[02]

Batch and supply traceability

Tracing raw materials through production to distribution is slow when information sits in separate systems, complicating investigations and recalls.

[03]

Slow research data analysis

Scientists spend significant time collecting and cleaning instrument and assay data before any analysis can begin.

[04]

Validation overhead

New software must be documented, tested and controlled in ways that fit quality systems, so changes need careful planning and traceable requirements.

WHAT WE BUILD

[ Our Approach ]

[01]

Lab data management

Systems that capture sample, assay and instrument results in structured form, with approvals, version history and audit trails that make laboratory records easier to review and defend.

[02]

Batch traceability platforms

Tracking of materials, batches and shipments using barcodes or QR codes, so teams can trace lineage forward and backward quickly during quality reviews or investigations.

[03]

Research analytics with AI

Pipelines and models that clean, combine and analyse experimental data, helping researchers explore patterns and prioritise experiments while keeping scientists in control of conclusions and documented clearly for your team.

[04]

Quality management workflows

Digital deviation, CAPA, change control and document approval workflows with role-based sign-off, reminders and complete histories replacing paper forms and email chains and documented clearly for your team.

[05]

Document and image intelligence

Computer vision and OCR that extract information from scanned records, labels and microscopy images, reducing manual transcription and making archived data searchable and documented clearly for your team.

[06]

Compliant cloud environments

Controlled cloud setups with access management, backups, environment separation and change records, designed to support validation and GxP aligned operating procedures and documented clearly for your team.

USE CASES

[ In Practice ]

[01]

Electronic batch record tracker

A manufacturer moves paper batch records to guided digital steps with operator sign-off and automatic deviation flags.

[02]

Cold-chain shipment monitoring

A distributor tracks temperature-sensitive consignments and alerts quality teams when readings leave the permitted range.

[03]

Assay results consolidation

A research lab combines instrument outputs into one searchable store with automated quality checks.

[04]

Label and artwork verification

A packaging team uses image analysis to compare printed labels with approved artwork before release.

COMMON QUESTIONS

[ FAQ ]

Is your software validated for GxP use?
We build software designed to support GxP environments, with traceable requirements, testing evidence and controlled changes. Formal computer system validation remains your responsibility within your quality system, and we provide the documentation and collaboration your validation team needs.
How do you support data integrity?
We design for ALCOA+ principles with unique user identities, role-based permissions, immutable audit trails and timestamps, and controlled edits that preserve history. These features help make records attributable and reviewable throughout their lifecycle.
Can you integrate with lab instruments and existing systems?
Often yes. We connect to instruments, LIMS, ERP and other systems through APIs, file exports or middleware, depending on what each device supports. A discovery phase confirms feasibility, formats and the safest approach before we commit to a design.
Can AI be used in regulated pharma workflows?
Yes, in supporting roles such as data cleaning, document extraction or research exploration. We keep models explainable where possible, version them, and ensure that qualified people review outputs that influence regulated decisions.

Let's Build
Together.

Share your goals and we will design the right Pharma & Life Sciences solution with you.