Integrations & UI
Quoted separately
FHIR connectors, review UI, deployment, and validation support outside the AI-core scope.
Custom Bio/Med AI for Recurring Lab & Clinical Tasks
Same task. Every day. Built once. One repeating bio/med task: blood panels, lab intake, a weekly target screen, or a fixed document type. We build a production pipeline with your validation rules, review queue, and handoff to LIMS, ELN, or your clinical UI. Typical timeline: 3+ weeks.
When to build custom
Worth building when the same task runs every day and generic OCR, chat tools, or research workbenches cannot encode your lab formats, clinical rules, or output schema.
- Blood or lab panels: multi-format results normalized, flagged, and queued for clinical review with a full audit path.
- Lab intake: PDFs and scans from many sources structured for LIMS with human review on ambiguous fields.
- Target or compound screen: recurring search against your criteria and sources, scored pass/fail, not open-ended discovery.
- Quality or regulatory loop: one document family (deviation, CAPA, fixed report) extracted or drafted for QA review.
What you get
One scoped pipeline: ingest your formats, validate with rules your team already uses, route low-confidence rows to review, write structured output to your systems.
- Format normalization. Multi-source lab and clinical inputs (PDF, scan, API export) mapped to one internal model before validation runs.
- Domain validation. Units, reference ranges, specimen IDs, and cross-field rules your clinicians or scientists already apply manually.
- Scoring and flags. Interpretation, fit scoring, or abnormality flags when in scope. Every flag links to source data and rule outcome.
- Review queue. Ambiguous extractions and policy exceptions queue for qualified review with context, not silent drops in production.
- System handoff. Structured payloads to LIMS, ELN, FHIR, or your API. Field layout matches your schema, not a generic export.
How we deliver
Scope & estimate
Intro call: we map the recurring task, sample formats, target systems, and compliance context. You get a fixed-scope estimate before any paid work.
Domain validation pass
You share representative files under NDA. We run a short pass on your real formats and validation rules before contract.
Contract & payment
We agree scope, milestones, data-handling terms, and IP in the contract. Work on the AI core starts after the first milestone is paid.
Deliver AI core
We build the module on agreed scope: normalization, domain validation, confidence routing, system handoff, and audit logging.
Integrate if needed
Optional phase: FHIR connectors, review UI, production deployment in your environment. Quoted separately if outside the initial scope.
Pricing
Fixed scope and price for the AI module, agreed before the build starts.
AI module
$23,000+
One bio/med pipeline: normalization, validation, review routing, system handoff.
3+ weeks for one focused task; broader scope, longer delivery.
Final module price depends on format variety and handoff depth. Deliverables are fixed during the domain validation pass before contract.
FAQ
What is a custom bio/med AI module?
R[AI]SING SUN builds one production pipeline per scoped task: blood panels, lab intake, a recurring screen, or a fixed document loop. The module covers format normalization, domain validation, review routing, structured handoff, and audit logging. Co-founder background in molecular biology and diagnostics informs architecture choices.
How is this different from Claude for Life Sciences or Claude Science?
Anthropic tools are built for exploration, literature, and open-ended analysis in a chat or workbench. A custom module fits when the same task repeats daily with your lab formats, clinical rules, and LIMS schema. You need production routing, audit trails, and deployment in your environment, not a general research assistant.
How much does a bio/med AI module cost?
The AI module starts from €20,000, $23,000 USD, or £17,000 GBP for fixed scope agreed before the build. Final price depends on format variety, validation depth, and handoff complexity. FHIR connectors, review UI, and deployment are quoted separately. An intro call gives a range; the domain validation pass fixes scope before contract.
How long does a bio/med AI module take to deliver?
Typical delivery is 3+ weeks after contract and first milestone payment for one focused task and a defined handoff path. More document types, clinical rules, or integrations take longer. The domain validation pass usually runs for a few days before the paid build is contracted.
What is included in the AI module vs integrations?
The module price covers normalization, domain validation, confidence routing, structured handoff on agreed scope, and audit logging. LIMS vendor fees, custom review UI, FHIR deployment, and validation documentation (IQ/OQ) are separate unless scoped. See Integrations & UI on this page.
Can you integrate with our LIMS or ELN?
Yes, when APIs or export formats are available. We map output fields to your schema and deliver via REST or file handoff. Net-new LIMS customization beyond agreed connectors is a separate integration phase.
Is the system GxP compliant?
We design for GxP-aware workflows: audit trails, access controls, and human oversight on critical outputs. Formal validation (IQ/OQ/PQ) and Part 11 qualification depend on your deployment and QMS; we align technical design to your validation plan in scope.
Who owns the code after delivery?
Rights are defined in the contract before work starts: full buyout or a license for your deployment, with different pricing for each. Module pricing reflects scope fit and reuse of proven pipeline components from prior deliveries, not a greenfield six-figure build from scratch.
What production results exist?
A healthtech blood test interpretation platform improved recognition stability from 82% to 98%, reached 99% clinical interpretation accuracy on evaluation sets, and helped the startup close a seven-figure round with GDPR and HIPAA-aligned architecture. Case study: r-sun.ai/cases/healthtech-blood-test-ai.
Get in touch
Describe the task you run daily (blood panels, lab intake, target screen, document loop), sample formats, and where output must land. We'll reply with fit and next steps.
Or email [email protected]