Aware turns historical lab reports into a growth engine for preventive health across Germany

Who is Aware, and what role do they play in the healthcare or wellness ecosystem?

Aware is a Berlin-based preventive health and healthtech company that combines blood testing with a biomarker insights app to give people transparent, actionable views of their health before disease develops. Operating at the intersection of diagnostics, digital health, and consumer wellness, Aware helps users understand lab results in plain language and turn them into concrete next steps.

Backed by a US$15 million seed round, Aware has rapidly expanded to more than ten cities across Germany and built a nationwide partnership with DM, one of the country’s largest retail and pharmacy chains, giving it broad consumer reach for both testing and digital engagement.

The problem

What limitations did Aware face with lab result delivery, data workflows, or digital patient experience?

To deepen its role in users’ health journeys, Aware wanted people to import historical lab reports—PDFs or images from any lab or country—so they could see longitudinal biomarker trends from day one and consolidate all their results inside Aware. However, external lab reports vary widely in layout, naming, units, and reference ranges, and building a reliable ingestion and normalization engine in-house would have required substantial domain expertise, hundreds of engineering hours, specialised medical staff, and ongoing maintenance. This complexity risked delaying key features, slowing market expansion, and pulling product teams away from Aware’s core differentiation in insights, user experience, and growth.

The solution

How did OpenHealth’s Health Portal, Lab API, or Digital Reports transform lab data delivery for Aware?

Aware integrated OpenHealth’s Lab API and data infrastructure to power uploads of past lab reports (PDFs or images) from any provider worldwide. OpenHealth’s backend parses incoming reports, maps analytes, handles unit conversions, aligns reference ranges, and returns structured, harmonised lab data that flows directly into Aware’s biomarker logic, trends, and visualisations.

On top of this, Aware designed a freemium model: non-members can upload one report for free, while Pro members enjoy unlimited uploads, positioning historical data import as both an engagement feature and an upgrade trigger. With OpenHealth carrying the medical and technical complexity of ingestion and normalization, Aware avoided building its own lab engine and instead focused on experience design, interpretation, and market growth.

The impact

What measurable improvements did Aware achieve after implementing OpenHealth’s digital health infrastructure?

Once the integration went live, Aware saw higher user activation and ongoing engagement as new and existing users could immediately upload, explore, and understand their historical lab data inside the app. The upload feature became a powerful acquisition and conversion lever: people not yet ready to buy a new test could still realise value from their prior results, reducing friction and increasing the likelihood of upgrading to Pro for unlimited uploads. At the same time, Aware accelerated expansion into new markets by onboarding users with existing lab results rather than requiring a new test in each geography, all while avoiding hundreds of engineering hours and significant build and maintenance costs. In a rapidly growing preventive health market, seamless historical lab uploads now give Aware a clear competitive edge in onboarding, retention, and longitudinal health tracking.