The collaborative
AI platform for
pathologists

We help pathologists accelerate the diagnostic process with reliability and excellence

Challenges in pathology

Shortage of Pathologists

About a billion slides generated annually around the globe. In 2017 less than 1% of them was scanned. In 2021 the percentage was around 10%. This will delay even more the diagnostic process for patients that will not even be diagnosed. Moreover, by 2030 the number of active pathologists will drop by 30% aprox. compared to 2010 numbers, resulting in a gap between supply and demand of 6.000 pathologists.

Still using 150-year-old methods

Current diagnostic approaches in pathology are manual, slow and inefficient, taking up to 40 minutes per slide. The foundations of pathology analysis have not changed for over 150 years. Digital technologies must help the field to improve and to become more efficient and more scalable.

KOMOMBO provides the solution

KOMOMBO is the Decision Support collaborative platform for pathologists that ensures a faster and better diagnostic allowing professionals to focus on things where human expertise is vital.

State of the art technology,
from future to the present

We have built a platform based on federated learning that will democratize pathology analysis.
The platform is sustained on the following technologies:

PROCESS
AUTOMATION

DEEP
LEARNING

DATA
ANNOTATION

BLOCKCHAIN

COLLABORATION
TELEPATHOLOGY

FEDERATED
LEARNING

REPORTING
& ANALYTICS

VISUALIZATIONS
& ANALYSIS

KOMOMBO assists in spotting shapes, patterns and the relative location of objects on image through computer vision.

This annotated input is read by the specialist, reducing the time spent on the monotonous and repetitive task of counting cells and searching for traces of illness. Instead, they can analyze the traces spotted by KOMOMBO that will be ready to confirm.

Federated Learning,
the key to confidentiality
and collaboration

KOMOMBO gives the most from AI without moving patient images from hospitals servers, gets the outcome from the algorithm across multiple decentralized servers holding local data samples, without exchanging them.

Data is kept in the original server

Our experts leverage data science techniques to treat distributed data within the hospital’s local server, avoiding centralizing data and compromising GDPR compliance. This ensures that the institution keeps the complete ownership of data.

Our goal is not to only allow the usage of the platform but to use their data together and jointly enrich the pathology portfolio getting to help more patients everyday around the world.

Federated Learning,
the key to confidentiality
and collaboration

KOMOMBO gives the most from AI without moving patient images from hospitals servers, gets the outcome from the algorithm across multiple decentralized servers holding local data samples, without exchanging them.

Data is kept in the original server

Our experts leverage data science techniques to treat distributed data within the hospital’s local server, avoiding centralizing data and compromising GDPR compliance. This ensures that the institution keeps the complete ownership of data.

Our goal is not to only allow the usage of the platform but to use their data together and jointly enrich the pathology portfolio getting to help more patients everyday around the world.