AI deal qualification that shows its work: per-pillar MEDDPICC scores, health trends, and win probability with reasoning — honest gaps, never invented.
Join WaitlistMost deal AI produces confident optimism. SalesDots Deal Intelligence scores every deal from the evidence actually captured — documents, tasks, deal history — explains each score, and names what is missing. When there is no source, you see an honest gap, not an invented insight.
Every pillar — metrics, economic buyer, decision criteria and process, paper process, pain, champion, competition — assessed and scored 0–100 from deal evidence, with the critical gaps named.
Not just a number: health components, trend direction, risk factors, and the reasoning behind the probability — so you can challenge it.
Panels without a data source stay empty rather than filling with plausible fiction. You always know what the AI knows — and what it does not.
A 0–100 score per pillar with the supporting evidence, refreshed as the deal evolves — qualification stops being a quarterly ritual.
A composite health score with its components and direction, so slipping deals surface before the forecast call.
Recommendations tied to the specific gaps found in this deal — never a generic playbook step.
Drop in PDFs, Word, or Excel; requirements become searchable, question-ready material inside the deal.
Recommended actions become persistent tasks with owners and outcomes — the follow-through is part of the record.
Ask the embedded copilot about any deal; it reads the same evidence, answers with sources, and acts only with your approval.
Deals, documents, and RFPs land in one place; text is extracted and indexed automatically.
MEDDPICC pillars, health, and win probability are computed from the evidence — each with its reasoning attached.
Gap-driven actions become tasks; Luna helps you work them without leaving the deal.
Deal intelligence is the continuous, evidence-based assessment of an open opportunity: how qualified it really is, how healthy it is, and what to do next. SalesDots implements it with MEDDPICC as the backbone — every pillar scored from captured evidence, with reasoning you can inspect.
Each pillar — metrics, economic buyer, decision criteria, decision process, paper process, pain, champion, competition — is assessed by AI from the deal's actual record and scored 0–100. The assessment names its evidence and its gaps, and scores update as the deal evolves.
Nothing is invented. A pillar without evidence scores as a gap, a panel without a source stays empty, and the deal view says explicitly what is missing. That honesty is deliberate: a forecast built on fabricated context is worse than no forecast.
Yes — PDF, Word, Excel, and plain text. Documents are extracted and indexed inside the deal, so requirements are searchable and the qualification reflects what the customer actually asked for.
No. The probability ships with its reasoning: the health components behind it, the trend, and the risk factors. If you disagree, you can see exactly which input to challenge.
Works best when combined with these modules
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