Technology

Built to scale with your research

Built to power scalable, web-based visual analytics tools for drug target discovery, extensible through a flexible plugin mechanism.

Our tech stack

The foundation for scalable, web-based biological and chemical tools.

Our platform is designed to build scalable web-based visualization and analysis solutions for drug target discovery and other biomedical research and development applications. It provides a plugin mechanism to extend its core capabilities and build feature-rich applications. Data can be loaded from in-house datasets, or uploaded from files or public data repositories. Applications based on the platform can also be extended to use custom data sources.

Scalable
Built for massive R&D datasets, with flexible mapping across annotations like Ensembl and Gene Symbol.
Modular
Combine and extend components for complex use cases, fully integrated with Ordino and Aevidence.
Self-service
Empowering every scientist with sophisticated, no-code analytics.
Traceable
Every analysis step is stored, so findings can be reproduced, resumed, and shared via a URL.
Aevidence Structure Analysis with the in-app AI assistant
datavisyn AI strategy

End-to-end visual data intelligence for pharma & biotech R&D

In the race to accelerate drug discovery, AI assistants and "Co-Scientists" have moved to the forefront. However, a conversational model is only as powerful as the tools it can utilize. Complex biomedical datasets – from bioactivity screens to single-cell data – demand more than text and static plots; they require rich, interactive, and evidence-based visual capabilities.

datavisyn’s AI strategy bridges expert insight facilitated by data visualization with next-generation agentic environments. Rather than treating the prompt as just another chat window, we build a visual analytics toolbox that interacts seamlessly with the Co-Scientist, enabling true human-AI interaction across the entire research lifecycle.

AI strategy · three tiers

The evolution of the R&D interface

As R&D software shifts towards agentic platforms, the prompt is becoming the primary user entry point. datavisyn addresses this shift in three tiers:

01
AI assistant integration

Embedded in-app assistants in products like Aevidence and Ordino help researchers discover features and run workflows using natural language — keeping human expertise in full control.

02
AI platform integration

Standardized Model Context Protocol (MCP) layers connect datavisyn tools to our customers' enterprise agents (e.g., Claude, Copilot). Instead of returning text and static images, agents bring fully functional, interactive visual components tailored to the biomedical sciences directly into the AI chat interface. Live UI selections automatically sync back to the AI context for downstream reasoning.

03
Co-scientist orchestration

visynPlatform provides verifiable transparency of how AI reaches decisions, alongside interactive capabilities to cross-check model outputs and steer actions. Our vision is to visualize how human teams and co-scientists work together to answer deep research questions.

See our platform in action

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