CARE Foundation Models
Industry-leading histopathology foundation model built with pathologists in-the-loop
Company profile
Company profile
Aignostics is a Berlin and New York-based AI company transforming drug development and patient outcomes through advanced pathology analytics. As a spin-off from Charité Berlin, one of Europe's largest university hospitals, Aignostics has built industry-leading foundation models in collaboration with Mayo Clinic to analyze complex biomedical data at scale. The company's flagship product, Atlas H&E-TME, provides comprehensive tumor microenvironment profiling from H&E-stained whole slide images at single-cell resolution. Powered by Atlas 2, their latest foundation model co-developed with Mayo Clinic, the platform delivers over 4,500 quantitative metrics per image including cell detection and classification across 9 cell types, tissue segmentation into 7 regions, and spatial network analysis. The solution currently supports eight primary cancer types with validated performance on at least 90% of invasive morphological subtypes. Aignostics offers both products and custom services spanning target and biomarker discovery, translational research, and digital diagnostics. The company maintains proprietary access to pathology samples and multimodal data from over 30 million patients at leading university hospitals and laboratories. Their interdisciplinary team combines data scientists, machine learning engineers, pathologists, and biologists to deliver validated solutions for biopharma companies and academic researchers. The company is ISO 13485 and ISO 27001 certified with a GCP-ready clinical trial platform.
Company description Aignostics official website
Claim this profile to manage Company information and connect with the Health AI Central audience.
01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Api Only · Cloud Saas · Hybrid deployment with recorded integration context.
Recorded integration context: IMS (Image Management Systems).
Company milestones
January 2026: Announced Atlas 2 foundation model with Mayo Clinic setting new performance standards. June 2026: Partnership with Pancreatic Cancer Action Network. Quarterly rollout of new cancer types for Atlas H&E-TME. Launched OpenTME dataset with analyzed TCGA whole-slide images.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Industry-leading histopathology foundation model built with pathologists in-the-loop
Comprehensive AI-powered tumor microenvironment analysis from H&E-stained whole slide images
Validation and refinement of AI models for prospective clinical use
Fully analyzed TCGA whole-slide images for academic research
Multimodal AI platform for identifying novel drug targets and biomarkers
Complex biomarker measurement and expression pattern prediction across data modalities
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Clinical cancer research : an official journal of the American Association for Cancer Research · Jul 1, 2026
Towards robust foundation models for digital pathology.Nature communications · Jun 11, 2026
Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology.Medical image analysis · Jun 3, 2026
Spatial heterogeneity of antibody-drug conjugate targets in pancreatic ductal adenocarcinoma.The journal of pathology. Clinical research · Mar 1, 2026
Multiregional Immune Profiling Reveals Prognostic Patterns in Bladder Cancer.European urology oncology · Dec 30, 2025
AI-powered spatial cell phenomics enhances risk stratification in non-small cell lung cancer.Nature communications · Nov 3, 2025
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Atlas H&E-TME tumor microenvironment analysis
Comprehensive TME profiling
Invasive morphological subtypes per cancer type
Atlas 2 foundation model
Partnership to advance pancreatic cancer research
Co-development of Atlas 2 foundation model for histopathology
Achieved industry-leading performance across 80 public benchmarks using 5.5M slides from 490k cases
Validation of Target ID Platform for drug target discovery in lung squamous cell carcinoma
Independently rediscovered NRF2 pathway activation across DNA, RNA, and proteomics without prior knowledge of pathway biology during model training
05 · Leadership
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Recent articles published on Aignostics's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies applying AI to digital pathology, histopathology slide analysis, laboratory diagnostics, or biomarker discovery. Includes AI-powered interpretation of lab test results, at-home diagnostic devices with AI analysis, and platforms that analyze tissue samples or biological specimens to support clinical diagnosis.
Explore the full market directory or compare this Company with additional active profiles.
View all Companies in this market10 · Pro research
Expanded Company research is in development.
Health AI Central Pro · Coming Soon
Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.
Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.