AI Analysis
A steady read on research maturity
The Molecule Insight Research Assistance (MIRA) provides a continuous, detailed analysis of research progress, offering a real-time pulse check for funders and practical insight for project owners.
What is MIRA?
MIRA is Molecule's own AI assistant. It reads live project data, drawing only on the files researchers choose to share, and pulls together data rooms, market pricing, and team activity into a full project briefing, an ecosystem overview, or a summary of recent changes.
Built to be AI-native, MIRA works just as well alongside AI agents as it does with people.

Project scoring process
One of MIRA's key purposes is to score every project, using a biotech-adapted version of NASA's Technology Readiness Level (TRL) framework.
Calculate preliminary maturity level
A short read of the documentation places the project at its true stage of research maturity: an early idea, early lab evidence, or work that's approaching real-world testing.
Create a weighted score
Once a project is placed at a stage, it's scored against a set of criteria, each weighted by how much it actually matters at that point. The weighting shifts by stage, since what makes an early-stage project strong differs from what makes a late-stage one strong.
Turn the score into a plain recommendation
The score maps to one of four straightforward recommendations, aimed at funders and project teams alike, each with a written explanation grounded in the scoring behind it.
Outline what comes next
When a team wants more than a recommendation, this step sets out a practical plan built around whichever areas scored lowest: the work involved, roughly how long it might take, and where the biggest risks sit.
Developing a weighted score

Every analysis ends in one of four outcomes
Promote
The project scores well across the areas that matter most right now, and is ready for its next step, whether that's the next stage of research, a funding round, or a formal development plan.
Supplement
The underlying science holds up, more information is needed: for example, missing data, an open question about ownership of the work, or a gap on the team.
Pivot
There's real merit in the work, but the current direction, whether that's the target, the application, or the intended partner, isn't satisfactory.
Pause
The project shows weaknesses across several areas that more time or money on the current path wouldn't fix. The honest recommendation is to stop and put the resources elsewhere.