Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/PathAI
PathAI

PathAI

Founded 2016

Analyze pathology images and clinical trial tissue samples using computer vision models

You can use PathAI to analyze digital pathology slides, manage laboratory images, and quantify disease biomarkers in tissue samples. It provides image management systems that connect pathologists with machine learning algorithms to evaluate tissue sections for oncology and inflammatory diseases. Laboratories can organize clinical cases, inspect whole slide scans, and run automated tissue quantification models like tumor cellularity and biomarker status. Biopharmaceutical researchers can also run clinical trial tissue assessments, discover potential biomarkers, and gather histopathology data across multi-center studies.

What PathAI does

Review digital whole slide biopsy scans in a cloud viewerMeasure biomarker staining intensity on pathology slidesIdentify tumor boundaries in tissue section imagesScore disease severity for clinical trial histopathology endpointsShare pathology cases securely across multi-site laboratory networksValidate image quality by flagging scan artifacts automaticallyReview and manage whole slide pathology images in a cloud-based viewerQuantify tumor cellularity across tissue sections automaticallyMeasure biomarker expressions including PD-L1, HER2, ER, and PRDetect tissue artifacts and tumor margins within biopsy scansTrack clinical trial endpoints for inflammatory and metabolic conditionsIntegrate partner diagnostic algorithms directly into laboratory workflows

Frequently asked

PaigePaige

Want a tailored answer?

See whether PathAI fits your stack.

Techbible weighs PathAI against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare PathAI

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in Healthcare & Life Sciences

All tools →
Luminai

Luminai

Automate repetitive healthcare administrative tasks across disconnected hospital systems and records

Rhazes AI

Rhazes AI

Transcribe patient consultations, generate clinical notes, and suggest billing codes in real time

Tennr

Tennr

Automate patient intake, insurance verification, and care coordination workflows for healthcare providers

10x Science

10x Science

Characterize proteins and analyze complex peptide mapping data in real time

3QHS

3QHS

Manage value-based care programs, risk stratification, and patient interventions for healthcare organizations

Abacus Insights

Abacus Insights

Unify fragmented healthcare payer data into organized records for compliance and cost management

Abett

Abett

Collect and manage healthcare data for self-insured employers

Abridge

Abridge

Transcribe patient visits and draft clinical notes automatically during medical appointments

PathAI, digital pathology, image management, AISight, histopathology, biomarker discovery, tissue analysis, computational pathology, whole slide imaging, clinical trials, cancer diagnostics, algorithm models, tumor detection, cellularity, anatomic pathology