Digital pathology has unlocked one of the most data-rich corners of healthcare AI. Whole-slide images (WSIs), tied to structured pathology reports, tied to genomic results, give AI models more signal per patient than almost any other clinical modality. Building production pathology AI means working with gigapixel images, slide-management systems, biomarker quantification pipelines, and an FDA SaMD pathway that is one of the most active in medical imaging.
Taction Software’s pathology AI engineers have built WSI analysis pipelines, biomarker quantification systems, and structured-report NLP integrated with pathology LIS and EHR systems. Engagements begin with a $45K Discovery Sprint.
Our experts are ready to understand your business goals.
We map your pathology AI use case (WSI analysis, biomarker quantification, report NLP, or all three), identify FDA SaMD risk, select the slide-management integration path, and produce a technical architecture.
We build the inference pipeline, WSI tiling and processing infrastructure, first end-to-end use case, eval harness skeleton, and audit logging.
We harden for clinical pilot, prepare FDA SaMD documentation if applicable, and produce clinical evidence.
For productized sprint pages, see Discovery Sprint, MVP Sprint, and Pilot-Ready Sprint.
Deep-learning segmentation of tumor regions, lymph nodes, and tissue types on WSIs.
Automated IHC scoring including HER2, PD-L1, Ki-67, and ER/PR.
Structured extraction of tumor type, grade, margin status, lymph node involvement, and biomarker results from free-text pathology reports.
Spatial-pattern analysis across tumor and immune microenvironment.
Linking pathology AI outputs with genomic test results and clinical context for oncology AI workflows.
For background, see our coverage of medical imaging AI and computer vision in medicine.
Hire healthcare AI engineers, FDA SaMD engineers, or healthcare MLOps engineers at $8K per engineer per month.
For estimates, use the healthcare AI cost calculator.
Discovery Sprint $45K, MVP Sprint $95K, Pilot-Ready Sprint $145K. Full pathway $285K over 24 weeks. Note that WSI infrastructure costs (storage, compute) can be substantial beyond engineering.
Almost always yes. Tumor detection, biomarker quantification, and decision-support pathology AI are typically Software-as-a-Medical-Device.
Aperio (Leica), Hamamatsu, Philips IntelliSite, Roche, 3DHISTECH, and others through proprietary SDKs or DICOM-Path where available.
Yes. Tiling, multi-resolution pyramid handling, and distributed inference are core pathology AI work.
Yes. Automated IHC scoring for clinically actionable biomarkers is one of our shipped patterns.
Yes. LIS integration via HL7 v2 and FHIR R4 plus EHR write-back to DiagnosticReport is standard.
Yes. Every engagement begins with a BAA.
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Our expert reaches out shortly after receiving your request and analyzing your requirements.
If needed, we sign an NDA to protect your privacy.
We request additional information to better understand and analyze your project.
We schedule a call to discuss your project, goals. and priorities, and provide preliminary feedback.
If you're satisfied, we finalize the agreement and start your project.