Revolutionizing
biomedical insight

We lead in AI and Biomedical research, providing an innovative software tool for cancer diagnosis and precise medical diagnostics. Let's dive in a new era of automation, digitalization and efficiency together!

What does Image Intelligence?

We create AI software for medicine, focusing on Histopathology, Molecular pathology, and Biomedical research.

Our flagship products, HistoFrame, Ainnotate and our future HistoSpace — a comprehensive ecosystem that sets new standards in healthcare image analysis.

Image Intelligence delivers Computer Vision and Deep Learning solutions that help pathologists make precise diagnoses faster. Our technology assists in image processing, analysis and interpretation for hospitals, laboratories, biotech companies, and researchers.

More about us

Enhanced Accuracy

98% accuracy in cancer detection. AI analyzes histological images with precision beyond human capability.

50x Faster

Increases diagnostic capacity 50 times. What takes hours manually is done in minutes with AI.

90% Fewer Errors

Reduces diagnostic mistakes by 90%. Consistent results without fatigue or subjective bias.

Cloud-based & Scalable

Web platform accessible from anywhere. Scanner agnostic — works with any digital pathology scanner.

Our products

HistoFrame

AI-driven software for cancer diagnostics

Web-based AI platform for lung cancer screening and subtype classification. Upload biopsy images, get instant AI-powered analysis with visual heatmaps. Patent EP23163378.

HistoFrame AI cancer detection — colored zones showing Squamous-cell, Adenocarcinoma, Benign stroma classification

Ainnotate

Interactive image annotation tool

Cloud-based image annotation platform for AI training data. Flexible image processing with AI methods — object detection, segmentation, and classification for medical and research images.

Ainnotate — interactive image annotation platform with polygon shapes and classification labels

Why integrate HistoFrame?

Own-developed Computer Vision AI model, trained on over 2 million annotated regions from partner biobanks. Patented technology (EP23163378).

98% Accuracy in cancer
detection
50x Faster than manual
diagnostics
90% Reduction in
diagnostic errors
2M Annotated regions
in training data

No hardware needed

100% web-based. Open a browser, upload an image, get results. No installation, no special equipment.

Scanner agnostic

Works with any digital pathology scanner. No vendor lock-in — integrates into your existing workflow.

Secure & compliant

Data processed on secured AI servers. Designed for clinical environments with strict data protection standards.

Automated reporting

Visual heatmaps with cancer subtype classification: Squamous-cell, Adenocarcinoma, Small-cell and more.

How it works

From biopsy to AI-powered diagnosis in three steps

Upload

Upload whole-slide biopsy image to the secure web platform

AI Analysis

Deep Learning model detects and classifies cancer subtypes automatically

Results

Visual heatmap, classification report, and probability score — ready for clinical decision

Our approach

We equip pathologists and scientists in clinical and preclinical labs with powerful deep learning tools, built on real-world data.

More than 2M annotated regions of cases from partners biobanks

Each case manually annotated by Experts, using own developed annotation platform

AI – Pathologists joint quality control and labeling improvement during training

Core team

Prof. Patrick Micke

Prof. Patrick Micke

Scientific Advisor

  • Professor of Pathology at Uppsala University
  • Expert in tumor immunology and digital pathology
  • Extensive clinical and research experience in cancer diagnostics

Artur, MD, PhD

Medical & Technical Expert

  • 18+ years in medicine, Associate Professor in Tumor Immunology at Uppsala University
  • 50+ scientific publications, 2 approved patents
  • Biomedicine and innovation leadership in MedTech and AI
Vladimirs

Vladimirs

Chief Operations Officer

  • 18+ years in aviation and unmanned systems, Head of Innovation Center
  • Leading complex research, innovation, IT, AI and digitization projects
  • 15+ publications, 3 patents
Vadim

Vadim

Head of Engineering

  • Over 23 years in computer science and software engineering
  • AI full-cycle development
  • Successful AI projects in MedTech Research, Real Estate and FinTech
Viktoria

Viktoria

Head of Product

  • Product leadership, development management, and strategic partnerships
  • Background in clinical oncology and pathomorphology
  • Publications in AI and laboratory diagnostics

Uppsala University, Histo.One, UOWI

Ready to transform your diagnostics?

See how HistoFrame can help your laboratory or hospital achieve 50x faster lung cancer screening with 98% accuracy.