Acquisition intelligence
AIDA
Map the stars.
Acquisition Intelligence & Document Analysis
AIDA reads large volumes of procurement documentation, extracts requirements with source citations, groups similar requirements across programs, and recommends the strategic contract vehicle that should carry them. Analysts curate every grouping, and every recommendation traces back to contract language.

- One pipeline
- Extract, cluster, recommend
- Every claim cited
- Source excerpts behind each grouping
- Ranked candidates
- Per cluster with estimated savings
- Hosted or offline
- Provider-flexible AI
Overview
Find the pattern. Consolidate the buy.
- Requirement extraction with source citations
- Cross-program requirement clusters
- Ranked contract vehicle recommendations
- Quantified consolidation savings
- Analyst-curated results
Capabilities
How AIDA does the work.
Each step below shows the work as it happens, from first input to finished deliverable.
01Build the corpus
Upload statements of work, performance work statements, RFIs, synopses, and market research, or pull documents from connected sources including public opportunity and award feeds. Everything AIDA finds traces back to these documents.
02Extract the requirements
One click runs the analysis pipeline with live stage progress. Requirements are extracted per document with source excerpts and confidence, so each one can be traced back to the language it came from.
03Chart the constellations
Similar requirements across programs are grouped into clusters and drawn as constellations on the star map. Each star is a requirement, the brightest carries the most value, and every line is a claim that independent items belong together.
04Recommend the vehicle
Each cluster receives ranked strategic contract vehicle candidates with match scores and rationale. When no existing vehicle fits, AIDA proposes one.
05Quantify buying power
Projected savings, consolidation candidates, and the impact funnel show what a run delivered across the corpus, so the case for consolidation is measured rather than implied.
06Curate with confidence
Analysts confirm, dismiss, or reopen clusters and ask the assistant questions grounded in the open corpus. Choose hosted or self-hosted AI providers, including offline operation where the environment requires it.
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