AI Matching

Only see the bids
you can actually win

NAICS codes tell you what you’re eligible for. An LLM reading of your real capabilities tells you what you’re competitive for. Dakdan.ai combines both into a single 0–100 fit score — with the reasoning shown.

How the fit score is built

Two layers working together, not a keyword match.

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NAICS eligibility

Every opportunity is checked against your primary and additional NAICS codes, so you start from what you’re actually registered to do.

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Capability reading

An LLM reads the solicitation against your company profile, past performance, and services — catching strong fits a keyword filter would miss.

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Set-aside & certification fit

SDVOSB, VOSB, WOSB, HUBZone and 8(a) status factor into eligibility, so set-aside opportunities surface where you qualify.

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A 0–100 score, explained

Each bid gets a single score with the reasoning written out — so you understand why it fits, not just that it did.

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Noise filtered out

Low-fit opportunities are filtered automatically so your dashboard stays focused on what’s worth pursuing.

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Learns from outcomes

Win/loss results feed back into scoring, so the matches sharpen to your company over time.

Example: an SDVOSB facilities-support solicitation at the VA lands in your pipeline scored 94 — Strong fit, with a short explanation of the NAICS match, your past performance, and the set-aside alignment. A loosely related IT bid outside your core scores 41 and is filtered out. You spend your time on the 94.

Fit scores are decision support, not a guarantee of eligibility or award. Always confirm eligibility against the solicitation.