Services
How we work with teams turning an assessment into action
Four formats — pick the one that fits where you are. Real prices, no contact-us-for-quote. Sign in to see the full scope, deliverables, and what we won't do.
Enabling Data Platform — blueprint engagement
Six-week blueprint that turns the data-platform ambition into a defensible plan: AS-IS audit of data sources + systems, target 10-domain enterprise architecture, open-source-first stack, six-workstream project plan, and a sequenced roadmap. Planning only — no code, no platform stood up.
- Duration
- 6 weeks (1 remote + 1 onsite workshop + 4 design/roadmap)
- For
- Sponsor + IT, data engineering, ops, and QA leads on the biotech / pharma / manufacturing side
- Biotech
- Pharma
- Manufacturing
- Data
- Strategy
- Governance
Data Platform PoC — eight-week working slice
Eight-week implementation engagement that stands up a working data platform PoC against your real systems and proves it on one production-line slice. Code shipped, data flowing, dashboard live, ontology v1 deployed. Exits with named go/no-go criteria — not a sales push.
- Duration
- 8 weeks (1 kickoff + 6 build + 1 acceptance / handover)
- For
- Sponsor + IT, data engineering, ops, QA — same stakeholder set as the Blueprint, plus a named operational user for the chosen use case
- Biotech
- Pharma
- Manufacturing
- Data
- Governance
GxP-Validated RAG Knowledge Assistant
A retrieval-augmented assistant for your SOPs, batch records, deviations, regulatory submissions — and the V-model validation file that lets you put it in production under GxP. Six to eight weeks. Working pipeline + the audit evidence package + the validation strategy.
- Duration
- 6–8 weeks depending on corpus complexity
- For
- Pharma + biotech orgs with 10k+ regulated documents (SOPs, batch records, deviations, CAPAs, submissions) and the operational appetite to use them via an AI assistant
- Biotech
- Pharma
- Manufacturing
- AI
- Data
- Governance
- Automation