Spend less time wrestling with data and more time making discoveries.
Results are spread across multiple systems and formats
Dense datasets that are hard to explore and share
A lack of visualization tools for specific R&D workflows
Pressure to meet standards for traceability and reproducibility
At Black Label we build data-rich interfaces for scientific discovery that integrate with your current software and enhance your existing tools.
Explore biomarkers, endpoints and trial results dynamically
Unify streams of experimental data in one clear view
Monitor devices, collect and display live data
Ensure compliance, reproducibility, and auditability
| Deepflare | Harvard Medical School | |
|---|---|---|
| Problem |
Deepflare needed an interactive application that would translate the raw power of AI into an intuitive tool for Biotech researchers to analyze amino acid sequences.
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As part of Harvard Medical School’s ongoing cooperation with Mass Eye & Ear Institute, they needed help modernizing the Ophthalmology Outcomes Book – a comprehensive annual report highlighting patient outcomes, quality of care, and research metrics.
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| Solution |
We collaborated with Deepflare to design and develop an integrated platform for construct management, epitope prediction, protein generation, and structural comparison.
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Historically published as a PDF, we helped them develop the digital-first, interactive charts to improve accessibility, usability, and ongoing maintainability.
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We’ll work with you to understand what you want to build, help scope your project, benchmark against the competition, collaborate on hi-fidelity designs before we even write a line of code to ensure that we deliver the best possible solution.
