Labplus Completes Google for Startups Growth Academy: AI for Health Program

Google for Startups is Google’s global initiative dedicated to supporting high-potential companies at critical growth stages. The program provides access to Google’s network of expert mentors, technology resources, and strategic guidance to help innovative companies scale their impact. Through various specialized programs, Google for Startups connects entrepreneurs with the tools, knowledge, and networks needed to scale their businesses sustainably and successfully.

The Growth Academy: AI for Health represents one of Google for Startups’ most innovative initiatives, focusing specifically on companies leveraging artificial intelligence to transform healthcare delivery and patient outcomes.

Labplus was represented in London and Warsaw by key leadership throughout the program: Siddharth Agrawal, CEO, and Szczepan Czyczerski, Chief Growth Officer. Both executives participated in workshops, strategic sessions, and networking opportunities designed to accelerate company growth and innovation in the competitive healthcare technology landscape.

This achievement marks a significant milestone in the company’s mission to provide people with reliable health guidance that puts them in control of their well-being

We participated in the Growth Academy: AI for Health initiative, as we leverage artificial intelligence to interpret laboratory test results, advancing our commitment to efficient healthcare solutions. This participation allowed us to expand our horizons even further in the rapidly evolving field of AI applications in healthcare, connecting with other innovators who are shaping the future of medical technology.

Let us explain how this technology works and transforms the way lab test results are analyzed.

At the core of Labplus’s innovation is LabTest Checker by Labplus^®, a proprietary medical interpretation system built entirely in-house using white-box machine learning algorithms and advanced statistical techniques. This certified medical device represents a fundamentally different approach to healthcare technology compared to conventional solutions in the market.

Proprietary White-Box Technology

Unlike traditional “black box” AI systems, Labplus has developed its solution using explainable AI (XAI) methodology that ensures complete transparency and interpretability. The system continuously improves through:

• White-box machine learning models that provide full visibility into decision-making processes.
•  Advanced statistical techniques based on established medical literature.
•  Clinical data repositories rather than internet-sourced information.
• Medical Advisory Board Supervision at every development stage.

Medical-Grade Standards vs. Generic AI

Labplus deliberately avoids using Large Language Models (LLMs) for medical inference, as these systems lack the transparency and reliability required in medical settings. 

Key differentiators include:

• Class I medical device – rigorous clinical validation and safety testing
• Medical liability coverage as a registered healthcare entity
• Literature-based training on peer-reviewed medical sources
• Expert medical supervision for complex cases
• Explainability for every interpretation provided

The system’s performance is continuously supervised by Labplus’s Medical Advisory Board, comprised of leading medical specialists who ensure clinical accuracy and safety standards.

Participation in this highly selective program further validates Labplus’s position as a leader in XAI-driven healthcare innovation. The company joins an elite group of healthcare technology companies that have demonstrated both technical excellence and significant market potential.

The knowledge and connections gained through the Growth Academy: AI for Health program position Labplus to continue its leadership in healthcare innovation and expand its impact on global healthcare delivery.

We are glad to have participated in this prestigious program, and we would like to thank Google and all the startups with which we had the opportunity to cooperate.