Adjacent-Capability Match
Surface contractors who have done something harder than the requirement, on a comparable axis, even when the literal industry-code match misses them.
EADIE encodes the deeper market research and sources sought methodology senior COs already perform by hand, scales it with a pause-resume AI assistant that stays bound to your workspace, and produces audit trails that withstand protest review.
Federal contractor search today operates on four axes: industry code, business size, past performance, price. That framework rewards what the giants are built to win on. It misses adjacent-capable smaller firms, modern-methodology innovators, and specialists who know the specific system the requirement touches.
Senior contracting officers already perform a deeper, multi-dimensional analysis by hand. It takes weeks per acquisition. Most COs do not have the time. The few who do cannot easily share their methodology with teammates or successors, cannot consistently document it for protest defense, and cannot calibrate it across acquisitions.
EADIE codifies that methodology, scales it, and produces the documentation that survives review.
Each dimension is independently scorable, weightable, explainable, and accessible to the AI assistant as a conversational surface during the workflow.
Surface contractors who have done something harder than the requirement, on a comparable axis, even when the literal industry-code match misses them.
Score the methodology-modernity of each contractor against the requirement's methodology-sensitivity. Reward modern delivery where it produces better outcomes.
Quantify the realistic risk of degraded delivery when a giant incumbent's current obligation pipeline exceeds their estimated capacity.
Industry codes are coarse. Surface the contractors who have actually worked the specific system, regulation, or agency the requirement touches.
For requirements that benefit from local presence, weight contractors by surge-response capability, regional labor pool, and historical work in the region.
Direction matters. Trailing trend across R&D investment, technical hiring, patents, SBIR pipeline, and publication activity.
Evaluate the prime plus the planned or historical sub stack as a network. Flag where a weak prime has a strong network and vice versa.
Where category concentration exceeds policy-defined thresholds, surface qualified alternatives outside the top-N incumbents.
Treat set-aside status as one dimension among many. Surface contractors who match across multiple beneficial dimensions simultaneously.
Quantify the asymmetric expected cost of contractor failure per archetype. Frame the risk-of-award decision honestly.
Senior contracting officers do not run wizards end to end and then refine. They run, stop, think, refine, run, stop, think, refine, dozens of times per acquisition. EADIE is built around that reality. A persistent AI assistant travels with you across every step, bound to your active workspace, grounded only in your loaded methodology, your ingested data, and your prior decisions.
At any moment, in any step, you ask. The workspace state freezes in place. The AI assistant is already loaded with everything you have configured, ingested, and scored.
Suggested adjustments to weights, sources, dealbreakers, or dimensions are tagged as applied (workspace state updates and re-scores) or observational (logged but no change). Every exchange enters the audit trail.
Continue the analysis with refinements incorporated. Session-spanning persistence lets you close and resume days later, or hand the workspace to a teammate with full reasoning context intact.
Run a what-if analysis in parallel without losing the original. Hand a workspace to a junior CO with the full reasoning chain preserved. Promote a methodology from personal to team to agency to federation level. Methodology knowledge transfers as a side effect of normal use.
Every refinement, every pause, every conversational exchange is captured in a configurable audit trail with disclosure controls the contracting officer sets per methodology.
Federal acquisition protests are won and lost on documentation. EADIE produces a decision package that captures not just the result, but the full reasoning chain that produced it. Counter-arguments pre-staged. Protest grounds pre-addressed. Disclosure of conversational reasoning configurable per methodology.
The market research document, grounded in the analysis with full citation trail.
Per-dimension scores, weights, and resulting ranking, with every cell traceable to a source.
For each top-ranked contractor, the strongest argument against, with documented response.
Narrative explaining the methodology applied and why it produces a defensible award basis.
Summarized assistant exchange history by default. Full transcripts available on request. CO controls per methodology.
Pre-staged response to the three most likely protest grounds for the acquisition type and award decision.
EADIE is built for the Federal Acquisition Regulation, agency supplements, GAO protest precedent, and the realities of how contracting offices operate. Not a civilian tool retrofitted for government.
Available as a stand-alone application and as a gated add-on to existing federal procurement platforms. Per-user, team, or office-wide entitlement. Senior CO depth without disrupting your standard workflow.
Methodologies improve over time based on observed outcomes. Anonymized workspace data tightens dimension scoring and refines default methodology profiles. Every acquisition makes the next one sharper.
EADIE's multi-dimensional evaluation framework, methodology-as-object architecture, stateful workflow with persistent context-bound AI assistant, and audit-trail-grounded refinement chat are subject to a pending U.S. provisional patent application.
We are actively engaging contracting offices, agency procurement leadership, and federal acquisition modernization teams. For a briefing, demo, or pilot inquiry, reach out directly.
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