Domain intelligence that makes AI credible in regulated environments.
Praveg translates regulated clinical requirements into AI and digital specifications that engineering teams can build from, and provides business analysis for EDC, eCOA and clinical platforms. It is for pharma, biotech, CRO and clinical technology companies that need GxP-aware domain expertise inside their AI and product programmes, with human oversight by design.
Scope of work
Requirement translation
Clinical and regulatory needs converted into implementable specifications, user stories and acceptance criteria.
- Process and data mapping
- Specification and acceptance criteria
- Validation-ready documentation
GxP-aware AI implementation
Responsible AI adoption aligned to GxP expectations: governance, validation, human-in-the-loop and audit trail.
- AI readiness assessment (OPTIC T5)
- Governance framework for AI deployments
- Use-case selection and risk classification
Business analysis for clinical platforms
BA for EDC, eCOA, CTMS and data platforms, from discovery through UAT.
- Discovery and prototyping
- Backlog and prioritisation
- UAT design and execution
Practitioner tools
Offline, single-file tools built for clinical and quality practitioners.
- Reconciliation and QC utilities
- Analysis and estimation tools
- Built to run without data leaving the browser
A good fit when
- Clinical technology companies building EDC, eCOA or analytics products
- Pharma and biotech digital teams adopting AI in GxP processes
- CROs specifying platforms and automation
Senior, hands-on, accountable
Discovery call
A conversation about the real problem, not only the stated one.
Scoped proposal
Fixed scope, retainer or fractional model, with outcomes named.
Delivery alongside your team
Implementation, not only recommendations; adoption measured.
Handover and sustain
Capability transferred, lighter-touch support thereafter.
Trusted across industries
Praveg brought a rare combination of domain expertise, process orientation, and technology understanding. Their advisory support helped align business expectations with technical realities.
Discussions around AI in regulated environments were insightful and balanced. The focus on governance, quality, and human oversight differentiated the session.
Participants appreciated the structured yet interactive style of delivery, strong engagement despite the technical nature of the subject.
FAQ
Is AI a separate practice at Praveg?
No. AI domain intelligence sits inside the Biometrics pillar, because the value is the regulated-domain expertise, not the technology on its own.
Do you build AI products?
Praveg specifies, governs and validates; engineering partners build. Praveg also builds small practitioner tools where a focused utility is the right answer.
What does GxP-aware AI mean?
AI deployed with the controls a regulated environment expects: defined accountability, validation proportionate to risk, human oversight of outputs and an audit trail.
Let’s accelerate together.
Reach out for a discovery conversation, no obligation, just clarity on where structure can unlock speed.