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.

AIDA star map drawing each requirement cluster as a constellation.
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.

  1. AIDA document corpus listing procurement documents and their extracted text.01

    Build 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.

  2. AIDA analysis console showing live pipeline stage progress.02

    Extract 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.

  3. AIDA star map drawing each requirement cluster as a constellation.03

    Chart 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.

  4. AIDA ranked contract vehicle recommendations with match scores and estimated savings.04

    Recommend the vehicle

    Each cluster receives ranked strategic contract vehicle candidates with match scores and rationale. When no existing vehicle fits, AIDA proposes one.

  5. AIDA dashboard with corpus, analysis, cluster, and projected savings tiles.05

    Quantify 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.

  6. AIDA assistant answering questions grounded in the open corpus.06

    Curate 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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