Most memos confirm what you already know.
Not DILA.
Diligence that surfaces what's least examined — the real constraint, the logic gap, what must actually be true for this company to work.
Not pattern-matching.
Constraint analysis.
Traction can be manufactured. Narrative can be rehearsed. A pitch deck is a founder's best argument for why they've already won.
DILA measures something different — constraint clarity, mechanism credibility, and learning velocity. The framework runs forward: what must be true next, not what has already been proven. The output names gaps plainly. It doesn't soften for optics.
Every evaluation states its mode. Public mode runs on public signal and what you provide. Connected mode reads the timestamped build record — months of behavioral data accumulated before the founder is fundraising. The distinction is stated on every output. That transparency is the product.
Connected to the build.
Or reading public signal.
DILA runs on founders already in the system and companies you're considering from the outside. The evaluation framework is the same. The data source isn't.
The evaluation framework.
Applied consistently across vertical and stage, without prior comparable — exposing constraint and logic gaps.
How funds use it.
Unobvious truth.
Constraints pinpointed.
Every evaluation below advances the logic — named constraints, identified gaps, what must be true next. Public signal or connected proof. The output standard doesn't change.
MCP integration in development. Authenticated API access — query DILA directly from your fund's existing AI environment. No dashboard. No context switching.
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