01 — Domain
Life Sciences Expertise
Teams who have worked inside research, clinical, manufacturing and commercial organisations, not just consulted to them.
Life Sciences Expertise
Discovery Research
We build the data foundation research organisations need to reason across genomics, proteomics, imaging and literature — then layer agentic analysis on top so scientists spend their time on hypotheses, not plumbing.
- Multi-omics harmonisation pipelines
- Target and biomarker evidence graphs
- Reproducible analysis environments
- Scientist-facing exploration interfaces
Life Sciences Expertise
Clinical Development
From protocol feasibility through to submission, we operationalise clinical data so that quality signal surfaces early and every derived dataset carries lineage a regulator can follow.
- CDISC-aligned clinical data products
- Risk-based monitoring analytics
- Site and enrolment forecasting
- Submission traceability tooling
Life Sciences Expertise
Manufacturing & Supply
We connect MES, LIMS and supply planning data into a single operational view, applying anomaly detection and scenario modelling to protect yield, release timelines and continuity of supply.
- Batch genealogy and deviation analytics
- Yield and OEE modelling
- Cold-chain and logistics monitoring
- Supply scenario simulation
Life Sciences Expertise
Commercial & Market Access
We assemble compliant commercial data foundations — claims, specialty pharmacy, CRM, engagement — and deliver the analytics and agents that make field and access decisions faster and defensible.
- Commercial data foundation build
- Field force sizing and targeting
- Payer and formulary analytics
- Omnichannel measurement
02 — Engineering
Engineering Expertise
The platform, AI and compliance engineering that makes domain work durable in production.
Engineering Expertise
Agentic & Generative AI
We design agent systems for regulated environments: retrieval grounded in governed sources, deterministic tool use, evaluation harnesses, and escalation paths that keep a human accountable for every consequential decision.
- Agent architecture and orchestration
- Grounded retrieval over governed data
- Evaluation harnesses and regression suites
- Guardrails, audit trails and oversight UX
Engineering Expertise
Data Engineering
Modern lakehouse foundations with explicit data contracts, automated quality gates and end-to-end lineage, engineered so that downstream analytics and AI inherit trust rather than assume it.
- Lakehouse and streaming architecture
- Data contracts and quality gates
- Column-level lineage
- Cost and performance optimisation
Engineering Expertise
Advanced Analytics
Statistical and machine learning models delivered where decisions actually happen — embedded in the operational tools teams already use, with monitoring that catches drift before it costs anything.
- Forecasting and demand modelling
- Causal inference and uplift analysis
- Decision intelligence interfaces
- Model monitoring and drift alerting
Engineering Expertise
Quality & Compliance
We embed validation and control design into delivery rather than bolting it on: computerised system validation, audit trails, access governance and documented AI risk assessment.
- GxP validation packages
- Audit trail and access governance
- AI risk assessment frameworks
- SOP and control documentation