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.
EADIE evaluates contractors across ten distinct dimensions. A representative sample is shown below. The full framework, scoring methodology, and integration architecture are covered under NDA in a federal briefing.
Surface contractors who have done something harder than the requirement, on a comparable axis, even when the literal industry-code match misses them.
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.
Quantify the asymmetric expected cost of contractor failure per archetype. Frame the risk-of-award decision honestly.
The remaining dimensions, scoring methodology, and integration architecture are covered under NDA in a federal briefing.
Request briefing →A methodology in EADIE is more than a weighted set of dimensions. It bundles the procedures a senior CO has refined over a career, the AI prompt templates they have built, the sources they trust, and the disclosure controls they require. Methodologies are versionable, shareable, and improve over time as observed acquisition outcomes feed back into calibration.
EADIE also ingests your accumulated institutional knowledge: prior sources sought responses, capability statements obtained outside of structured database channels, predecessor CO market research memoranda. The AI assistant grounds its reasoning in your library alongside public source data.
Senior contracting officers do not work in a straight line. They run, stop, think, refine, run again. EADIE is built around that reality. An AI assistant travels with your analysis, lets you pause to ask questions, refine inputs, and resume, with everything captured for protest review.
At any moment in any step, ask the AI assistant. The analysis holds in place while you think.
Adjust weights, sources, or assumptions based on the conversation. Every exchange enters the audit trail.
Continue with refinements incorporated. Close the session and pick up later with full context preserved.
EADIE supports parallel analysis paths, handoff between contracting officers, and methodology sharing across a contracting office. The deeper architecture is covered under NDA in a federal briefing.
Every pause, every refinement, every conversational exchange is captured in a configurable audit trail.
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.
Pre-staged response to the most statistically likely protest grounds for the acquisition type and award decision.
Counter-argument synthesis, CO justification statement, configurable reasoning trail, and related components are covered under NDA.
EADIE is a product of Encore Services, LLC, a Service-Disabled Veteran-Owned Small Business and AI technology solutions provider for federal agencies. Headquartered in Maryland, Encore designs, builds, and deploys production-grade AI platforms, software, cybersecurity, and accessibility-compliant systems for federal missions.
EADIE extends Encore's federal procurement product portfolio alongside additional AI-driven mission systems.
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.
Prior sources sought responses, capability statements, predecessor CO market research memoranda. The accumulated knowledge of a 20-year CO finally becomes part of the workspace the AI can reason against.
Available as a stand-alone application and as a gated add-on to existing federal procurement platforms. Per-user, team, or office-wide entitlement.
Methodologies improve over time based on observed outcomes. Anonymized workspace data tightens dimension scoring and refines default methodology profiles.
EADIE's multi-dimensional evaluation framework, methodology-as-object architecture, stateful workflow with persistent context-bound AI assistant, audit-trail-grounded refinement chat, multi-modal document ingestion, and saved-procedure/saved-prompt extensions are subject to a pending U.S. provisional patent application.
Submit a briefing request and Encore Services will respond directly within one business day to schedule a time.