Knowledge prototype
One scenario, open or synthetic data, sources, constraints and a demonstration interface.
Medical AI · biotech · human-in-the-loop
AI for medicine and biotech—with traceable knowledge and human responsibility
We build medical and research AI systems that help find, explain and structure information without replacing clinicians, researchers or accountable decisions.
NPNT operating model
One governed workflow—not a universal ‘AI doctor’
We begin with a specific question, an authorised source and a clear escalation point. This makes usefulness, quality and safety testable before any access to real medical data.
01 · Workflow
From a business problem to a verifiable result
Prices are indicative and exclude model usage, cloud and third-party infrastructure. Medical use requires a separate legal, information-security and professional assessment.
- 01
Scenario
Define the user, question, error risk and required human action.
- 02
Knowledge
Assemble an approved, versioned and cited knowledge base with update rules.
- 03
Shadow pilot
Test on synthetic, open or authorised data without autonomous decisions.
- 04
Control
Measure citations, escalations, errors, clarity and the usefulness of the next step.
02 · Deliverables
What we can build
- 01A navigation and Q&A agent grounded in approved knowledge
- 02A research agent for literature, protocols and documents
- 03A patient-communication and expert-escalation workflow
- 04An internal assistant for biotech, pharma or clinical-research teams
03 · What the estimate covers
Scope, data and deployment determine the investment
After a short brief, NPNT proposes a first-stage architecture, a budget range and a result criterion. A detailed public tariff is intentionally avoided because integrations and responsibilities differ.
Governed pilot
Human-in-the-loop, logs, roles, quality metrics and one limited integration.
Protected environment
Access architecture, monitoring, integrations, documentation and preparation for sector review.
04 · Operations
Deployment and support
Deployment in a Russian or agreed protected environment, with version, quality, access and change control.
Base environment
Availability monitoring, knowledge updates and a monthly report.
Project environment
Integration and quality-log support with up to three improvement cycles per month.
Critical environment
Extended monitoring, a response procedure and regular quality control.
A bounded first stage
Describe the problem—we will outline the architecture of the first step
An initial assessment does not require medical records, trade secrets or a data dump. Process context and the intended outcome are enough.
- 01The process, product or audience that needs to change
- 02The data or materials already available
- 03Who owns the decision and which criterion will define success
Our first reply will clarify the process, available data, accountable specialist and success criterion. We will then propose a bounded first stage with an indicative timeline and budget.
Describe the problem →