Diagnostics startups
Bringing an imaging or genomic AI diagnostic to market.
Precision Medicine & AI Diagnostics Platform Development
AI Diagnostics Platform
We build AI diagnostics and precision-medicine platforms — imaging and genomic ML pipelines with rigorous validation, clinician-in-the-loop review, and an architecture that respects the SaMD regulatory line from the first commit.
HIPAA-ReadySaMD-AwareClinician-in-the-LoopValidated
Trusted by global innovators
What an AI diagnostics platform actually does
An AI diagnostics or precision-medicine platform applies machine learning to clinical data — medical images, genomic data, or multi-omic signals — to support detection, risk stratification, or treatment selection. The differentiator is never just the model; it's the surrounding rigor: representative validation, drift monitoring, explainability, clinician-in-the-loop review, and an architecture that can carry the regulatory burden if the intended use crosses into SaMD.
We build the data and ML pipeline, validation harness, and clinical review workflow, with the regulatory pathway scoped up front. The pattern is horizontal across imaging and genomic ML, which is why it serves MedTech, providers, and diagnostics startups rather than a single modality.
What it is
Machine learning on clinical data, done responsibly
An AI diagnostics platform applies ML to imaging, genomic, or multi-omic data to support detection, risk, or treatment decisions, with validation, oversight, and a regulatory posture built in.
We build the pipeline, validation harness, and clinical review workflow on a horizontal architecture across modalities.
Architecture
A diagnostics ML pipeline — data ingestion, model inference, validation and drift monitoring, and clinician review — with PHI handling and audit trails.
What We Build Into Your Diagnostics Platform
The rigor around the model — validation, oversight, and a regulatory path.
Imaging & Genomic ML
Model pipelines for medical imaging (DICOM), genomic, and multi-omic data, built for the modality your diagnostic targets.
Validation & Drift Monitoring
Representative validation across subgroups, performance benchmarking, and production drift monitoring so accuracy holds up over time.
Clinician-in-the-Loop
Review, override, and sign-off workflows so a clinician remains accountable for diagnostic decisions.
Explainability & Audit
Saliency, confidence, and full decision logging so outputs are interpretable, reviewable, and defensible.
PACS & EHR Integration
Integration with PACS, DICOM, and the EHR over FHIR so results land in clinical workflow, not a silo.
Regulatory Architecture
An architecture and documentation posture designed for the SaMD pathway if your intended use requires it.
Where it fits
Who builds an AI diagnostics platform
Providers, MedTech, and diagnostics teams applying ML to clinical decisions.
MedTech vendors
Adding AI capabilities to devices and platforms.
Health systems
Deploying validated diagnostic AI into clinical workflow.
Precision medicine
Genomic and multi-omic risk and treatment-selection tools.
Pathology & radiology
AI assistance for image-heavy specialties.
Research & pharma
Biomarker discovery and clinical-trial diagnostics.
Rigor around the model
Validation, oversight, and a regulatory path are what make diagnostic AI real.
Validated
Subgroup validation and drift monitoring
In-the-loop
Clinician review and sign-off
SaMD-aware
Architecture built for the regulatory path
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards and compliance
Standards baked into the platform
SaMDDICOMFHIRGMLPHIPAASOC 2
Our Process
How we ship a diagnostics platform
We treat validation and regulatory posture as first-class — a diagnostic model without them isn't shippable.
1.
Discovery & Regulatory Scope
We define intended use, the SaMD boundary, data strategy, and validation plan.
Regulatory-scoped
2.
Data & Model Pipeline
We build the ingestion and ML pipeline for your modality with reproducible training.
Reproducible
3.
Validation & Oversight
We validate across subgroups, add drift monitoring and explainability, and build the clinician review flow.
Validated
4.
Integration & Rollout
We integrate PACS/EHR and run a monitored clinical pilot before scaling.
Clinically piloted
Why Partner With Us
15-Minute Scoping CallWhy teams build diagnostics platforms with Agnotic
We build the rigor that makes a diagnostic model trustworthy and shippable.
Validation Rigor
Subgroup validation and drift monitoring so the model is safe in production.
Clinical Oversight
Clinician-in-the-loop workflows that keep accountability where it belongs.
ML Depth
Imaging and genomic ML engineering with reproducible pipelines.
Regulatory Awareness
SaMD-aware architecture and documentation from day one.
Frequently Asked Questions
It depends on the modality, the validation burden, and whether the intended use requires a SaMD regulatory path. We scope in phases and give a fixed estimate, starting with the data and validation strategy.
Ready to build a diagnostics platform?
Tell us your modality and intended use. We'll return a plan with a validation strategy, clinical oversight, and a clear regulatory path.
contact@agnotic.com
Partnerships
contact@agnotic.com