Inspiration
What it does
How we built itAbout the Project — Sigmyra
Inspiration
The pharmaceutical industry generates an enormous amount of data from digital channels, medical literature, market access updates, and real-world signals. What inspired us was the gap between having data and making confident, timely decisions.
Most existing tools stop at dashboards or alerts. They show what is happening, but not what should be done, why it matters, or how risky a decision is. We wanted to build something that helps teams decide, not just analyze.
That idea became Sigmyra — an always-on Decision Intelligence platform for pharma.
What We Learned
While building Sigmyra, we learned that:
Explainability is as important as accuracy in regulated industries.
Decision-makers need context, prioritization, and traceability, not raw signals.
AI is most powerful when combined with human-in-the-loop workflows.
Governance, auditability, and trust are not “nice to have” — they are essential in pharma.
We also gained deeper insight into how Commercial, Medical, and Market Access teams differ in how they evaluate risk and urgency.
How We Built It
Sigmyra was built as a modular, end-to-end platform:
We ingest and analyze market signals using AI-driven analysis.
Insights are scored and prioritized using configurable decision logic.
Each recommendation is enriched with:
risk assessment,
explainable score breakdown,
recommended actions,
historical context from past decisions.
A Streamlit-based interface enables rapid prototyping and clear storytelling.
The system includes governance features such as decision logs, audit trails, and outcome tracking.
We intentionally designed Sigmyra to be technology-agnostic, scalable, and ready for enterprise integration.
Challenges We Faced
The biggest challenges were:
Designing scoring logic that is transparent and adjustable, not a black box.
Ensuring consistency of data structures across many evolving modules.
Balancing advanced AI features with usability and clarity.
Handling edge cases such as missing data, historical gaps, and evolving schemas.
Building a system that feels both innovative and compliant.
Each challenge pushed us to simplify, modularize, and focus on real-world usability.
What Makes Sigmyra Different
Sigmyra is not just another analytics tool. It is a decision layer that sits above data, helping teams understand:
What matters most right now
Why a recommendation is made
What action should be taken
How confident we can be
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