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PathAI

AI-powered digital pathology platform providing FDA-cleared diagnostic tools, biomarker analysis, and enterprise workflow management for laboratories and biopharma companies.

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In Plain English

AI-powered digital pathology platform providing FDA-cleared diagnostic tools, biomarker analysis, and enterprise workflow management for laboratories and biopharma companies.

OverviewFeaturesPricingUse CasesLimitationsFAQSecurityAlternatives

Overview

PathAI builds AI-powered pathology software that helps laboratories and pharmaceutical companies analyze tissue samples with greater accuracy and efficiency. The company's flagship product, AISight, is a cloud-native digital pathology platform that serves as a central hub for case management, slide image management, and AI-powered diagnostic applications across histopathology workflows.

PathAI received FDA 510(k) clearance for AISight Dx in 2022, and in 2025 obtained additional FDA clearance with a Predetermined Change Control Plan (PCCP) that allows specific future AI enhancements without new regulatory submissions. This regulatory approach positions PathAI ahead of most competitors in the digital pathology space.

The platform's AI algorithms are trained on over 15 million pathologist-verified annotations and can detect and grade cancers across multiple tumor types including breast, lung, head and neck, and gastrointestinal cancers. For biopharma clients, PathAI provides standardized biomarker quantification for clinical trials, helping pharmaceutical companies evaluate drug efficacy with consistent, reproducible pathology data.

PathAI operates the Precision Pathology Network (PPN), launched in 2025, which connects laboratories globally to share AI-powered pathology tools, monetize real-world pathology data, and support biopharma-sponsored evidence generation studies. The company also maintains an in-house CAP/CLIA-certified GCLP histopathology lab for end-to-end clinical trial support.

With approximately $240M in funding raised and partnerships with 90% of the top 15 biopharma companies, PathAI targets enterprise deployments at academic medical centers, reference laboratories, integrated delivery networks, and pharmaceutical companies. Notable partnerships include Moffitt Cancer Center and Quest Diagnostics.

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Key Features

AISight Digital Pathology Platform+

Cloud-native enterprise workflow system that centralizes case management, whole-slide image management, and AI diagnostic applications in a single hub for anatomic pathology laboratories.

Use Case:

Large hospital pathology departments replacing manual slide workflows with digital-first operations, enabling remote consultation and AI-assisted primary diagnosis.

FDA-Cleared AI Diagnostics (AISight Dx)+

510(k)-cleared platform for AI-powered primary diagnosis with a Predetermined Change Control Plan allowing iterative AI improvements without new FDA submissions.

Use Case:

Clinical laboratories deploying AI-assisted cancer detection and grading for breast, lung, and GI cancers with full regulatory compliance for diagnostic use.

Biomarker Quantification for Clinical Trials+

Standardized, reproducible AI-powered biomarker analysis across tissue samples for pharmaceutical clinical trials, reducing inter-reader variability in pathology scoring.

Use Case:

Pharma companies running oncology clinical trials that need consistent PD-L1 scoring, HER2 quantification, or tumor-infiltrating lymphocyte analysis across multiple trial sites.

Precision Pathology Network (PPN)+

Global network of digital pathology laboratories launched in 2025 that provides early access to AI tools, enables real-world data monetization, and supports biopharma evidence generation studies.

Use Case:

Regional pathology labs joining a collaborative network to access cutting-edge AI algorithms while generating revenue from anonymized pathology data contributions.

In-House GCLP Histopathology Lab+

CAP/CLIA-certified laboratory operated by PathAI that provides end-to-end tissue processing, staining, scanning, and AI analysis for clinical trial sponsors.

Use Case:

Biopharma companies outsourcing entire pathology workflows for Phase II/III clinical trials to a single vendor with integrated AI-powered analysis.

Pricing Plans

Enterprise (Per-Site License)

Custom pricing based on slide volume, AI applications, and deployment scope

  • ✓AISight platform deployment
  • ✓Case and image management
  • ✓AI diagnostic applications
  • ✓Integration with existing LIS/LIMS
  • ✓Dedicated implementation support

Biopharma Services

Project-based pricing for clinical trial pathology services

  • ✓End-to-end clinical trial pathology support
  • ✓GCLP-certified histopathology lab services
  • ✓Standardized biomarker quantification
  • ✓Multi-site pathology data harmonization
  • ✓Regulatory-grade reporting
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Best Use Cases

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Enterprise hospital pathology departments transitioning from glass slides to AI-assisted digital workflows

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Pharmaceutical companies standardizing biomarker analysis across multi-site oncology clinical trials

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Reference laboratories scaling pathology throughput with AI-powered cancer detection and grading

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Academic medical centers conducting translational research with AI-quantified tissue biomarkers

Limitations & What It Can't Do

We believe in transparent reviews. Here's what PathAI doesn't handle well:

  • ⚠Enterprise-only deployment model with no self-service or SMB tier available
  • ⚠Focused exclusively on anatomic pathology — no coverage for radiology, clinical chemistry, or genomics
  • ⚠Requires whole-slide image scanners and significant digital infrastructure investment before AI can be applied
  • ⚠Regulatory clearance is US-focused; international availability varies by market

Pros & Cons

✓ Pros

  • ✓FDA 510(k) clearance for AISight Dx with PCCP enables regulatory-compliant AI diagnostics
  • ✓Trained on 15M+ pathologist-verified annotations across multiple cancer types
  • ✓Used by 90% of the top 15 biopharma companies for clinical trial pathology
  • ✓Cloud-native architecture enables remote pathology consultation and collaboration
  • ✓Integrated end-to-end offering from tissue processing through AI-powered diagnosis
  • ✓Precision Pathology Network creates collaborative ecosystem for labs and pharma

✗ Cons

  • ✗Enterprise-only pricing excludes small independent pathology practices
  • ✗Requires significant infrastructure investment for whole-slide image scanning and storage
  • ✗Limited to anatomic pathology — does not cover clinical laboratory testing or radiology
  • ✗Long implementation timelines typical of enterprise healthcare IT deployments

Frequently Asked Questions

Is PathAI FDA cleared for clinical use?+

Yes. PathAI received FDA 510(k) clearance for AISight Dx for primary diagnosis, and in 2025 obtained clearance with a Predetermined Change Control Plan (PCCP) that allows specific AI enhancements without new regulatory submissions.

How does PathAI pricing work?+

PathAI uses enterprise pricing with per-site licenses or usage-based models tied to slide volumes and specific AI applications. Biopharma projects are structured as separate service engagements. It is not positioned as a tool for small private labs.

What cancer types can PathAI detect and grade?+

PathAI's algorithms cover multiple tumor types including breast, lung, head and neck, and gastrointestinal cancers, with specific applications for tumor detection, grading, and biomarker quantification like PD-L1 and HER2.

Can PathAI integrate with existing laboratory information systems?+

Yes. AISight is designed to integrate with existing LIS and LIMS workflows, serving as a centralized hub that connects case management, image management, and AI applications within existing laboratory infrastructure.

🔒 Security & Compliance

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Quick Info

Category

AI Healthcare

Website

www.pathai.com
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