Automating blood test interpretations with AI to save doctors time, cut costs and improve patient care outcomes.
Current Status
BloodFlow started 9 months ago and in this 9 months we have done validation with 5 doctors to help us build our AI, we did POC with FertilityCare, are currently doing pilots with Joaquim Chaves and Glintt Life and have 2 other pilots starting in the next months, we are starting a Clinical Validation Study with 2CA Braga where we will be collecting over 100k clinical profiles for our RAG pipeline hat we built from scratch. And we just closed a 1.2M€ Investment.
Problem or Opportunity
BloodFlow solves the problem of slow, manual, and error-prone blood test interpretation. Doctors spend hours analyzing results, searching for clinical context, and writing reports—leading to delays and mistakes. BloodFlow automates this process using AI, delivering fast, accurate, and standardized medical reports, saving time, reducing errors, and improving decision-making across clinics and hospitals.
Solution (product or service)
BloodFlow uses AI to instantly interpret blood tests by retrieving the patient’s clinical context and generating a complete medical report. Doctors simply review and validate the output, saving time and reducing errors. Our solution integrates—or works alongside—existing systems (EHR/LIMS), transforming a 2-hour manual task into an accurate, automated workflow in seconds.
Business model
We are a B2B model.
We do yearly licenses + a usage base subscription (x€ for every blood test we process)
Incubation/Acceleration programs accomplishment
Unicorn Factory Incubation Program
Aga Khan Acceleration Program (2º Place)
Constructor Start Acceleration (2º Place)
