01
Public data is not proprietary
NX MIND does not claim ownership of public federal procurement information.
Data Sources & Evidence
Built on Public Procurement Data. Strengthened by Your Decisions.
NX MIND combines public federal procurement data, opportunity documents, award history, classification data, and information about your business to create structured, company-specific decision context.
The data may be public. The decision structure built around your company is not generic.
- SAM.govOpportunity record
- USAspendingAward context
- Opportunity DocumentsRequirements
- PSCService context
- NAICSMarket context
- Award HistoryCompetitive concentration
- Company ProfileCapability & eligibility
NX MIND · Decision LayerFragmented evidenceStructured decision context
Illustrative representation of evidence flow — not a product screenshot.
Layer 01Public Foundation
01 / Public Foundation
The public data is available. Making it decision-ready is the hard part.
NX MIND begins with public procurement information and the evidence available around an opportunity. These sources provide the foundation. They are not, by themselves, the product’s differentiation.
Six independent inputsOne structured decision context
- 01Public
SAM.gov Opportunities
Active and historical federal opportunity information, notices, dates, and available solicitation materials.
Opportunity record - 02Public
USAspending.gov Award Data
Historical federal award information used to establish award, agency, recipient, and market context.
Award context - 03Public
PSC & NAICS
Federal product, service, and industry classifications used to establish opportunity and market context.
Classification - 04Public
Public, Non-Restricted Opportunity Documents
Available solicitation documents and attachments that may contain requirements, instructions, evaluation information, and other opportunity-specific evidence.
Requirements - 05Public
Other Lawful Public Sources
Additional publicly available information may be used when relevant to the opportunity or market being analyzed.
Supporting context - 06First-party
Your Company Data
Company profile information supplied to NX MIND helps evaluate public opportunity information in the context of the contractor reviewing it.
Capability & eligibility
Public sources are read as evidence, not republished as a directory. NX MIND does not claim ownership of public federal procurement information.
Layer 02NX MIND Decision Layer
02 / NX MIND Decision Layer
NX MIND doesn’t just display the data. It structures it for a decision.
The same federal opportunity does not represent the same pursuit decision for every contractor. What follows is the order in which evidence becomes a recommendation — not the formula behind it.
- Source data
- Normalization
- Decision analysis
- Recommendation + rationale
Normalization
Can we compete?
Capability and eligibility are resolved before anything is scored.
- Capability normalization
- Eligibility gating
- Partner logic
Decision analysis
What does the opportunity require?
Requirements are extracted from the documents that state them, and kept linked to their source.
- Source-linked requirement extraction
- Opportunity evidence
- Execution-risk analysis
Decision analysis
Is this pursuit worth attention?
Market structure and award history decide whether the pursuit deserves scarce capacity.
- Historical award context
- Competitive concentration
- Market-structure analysis
- Contract-value context
- Evidence-backed scoring
- Recommendation rationale
Recommendation + rationale
So what should we do?
The modules resolve into one recommendation — and the reasoning that produced it.
NX RecommendationPursueWin Score88/100
Why
- Capability confirmed — product, action and geography align.
- Eligibility gate passed on the stated set-aside.
- Market structure is open; one execution check remains.
Every recommendation carries its evidence count and the logic version that produced it.
Illustrative opportunity · controlled demonstration environment.
Decision logic
Built around your business. Not a generic opportunity match.
NX MIND evaluates an opportunity in the context of the company reviewing it. Company profile data, opportunity evidence, historical award context, competitive concentration, contract-value context, market structure, and other relevant decision parameters are processed through NX MIND’s versioned backend logic.
Generic match
- Opportunity
- Keywords
Match
NX MIND
- Company
- Opportunity
- Requirements
- Eligibility
- Award context
- Competition
- Market structure
- Execution factors
Company-specific decision context
Inputs are named. Weights, thresholds and scoring logic are not published.
What produces the score
The score is not generated by AI.
NX MIND’s fit and recommendation score is calculated through versioned backend decision logic. AI is used separately for evidence-constrained summary and synthesis rather than as an autonomous scoring engine.
Score
Backend decision logic
Deterministic and versioned. The same inputs and the same logic version produce the same result — including the eligibility gates a high score cannot override.
- Rule-based
- Versioned
- Reproducible
AI Summary
Evidence-constrained synthesis
Reads and summarizes the evidence NX MIND already holds. It is constrained to that evidence and designed not to invent facts that are not there.
- Summarizes evidence
- Cites what it read
- Does not set the score
Layer 03Contractor-Specific Decision Memory
03 / Contractor-Specific Memory
Public data creates context. Your decisions create memory.
As teams evaluate opportunities over time, NX MIND can preserve structured decision signals that public procurement databases do not contain.
Isolated decisionsInstitutional decision memory
NX RecommendationPursueWin Score88/100
Captured todayRecording the call and the reason behind it is part of the product today. The accumulated record below is where this is going.
Product direction — not yet shipped
| Opportunity | Decision | Reason | Outcome |
|---|---|---|---|
| Opportunity 01 | Submitted | Capability confirmed | Awarded to us |
| Opportunity 02 | Skipped | Insufficient capacity | Awarded elsewhere |
| Opportunity 03 | Watched | Awaiting amendment | Cancelled |
| Opportunity 04 | Not submitted | Deadline too short | Expired |
| Opportunity 05 | Submitted | Partner closed the gap | Awarded elsewhere |
| Opportunity 06 | Skipped | Eligibility unresolved | Unknown |
- 01
Watched / Skipped
The call, and the reason recorded with it.
- 02
Submitted / Not submitted
Whether the pursuit actually consumed proposal capacity, and why.
- 03
Outcomes
Awarded to us, awarded elsewhere, cancelled, expired, unknown.
- 04
Partner gaps
Where a requirement needed a partner your company did not have.
- 05
Corrections & overrides
Where your team disagreed with the recommendation — and what happened next.
- 06
Decision timing
How early in the response window the call was made.
- 07
Logic / score version
Which version of the decision logic produced the recommendation.
These are contractor-specific organizational signals. They are created by your team, and they do not exist in any external government dataset.
The compounding loop
Decisions create outcomes. Outcomes create better context.
Product direction — not yet shippedDecision memory
- 01More decisionsEach evaluated opportunity adds a structured record.
- 02More outcome evidenceWhat the pursuit returned is recorded against the call.
- 03Better calibration dataPatterns in your own decisions become reviewable.
- 04Higher explanation trustLeadership can see why, not just what.
- 05More consistent usageA decision process the team actually repeats.
Public procurement data is available to every contractor in the market. The record of how your organization evaluates, pursues, corrects and learns from opportunities belongs only to you — and it is the part that accumulates.
A note on calibration
NX MIND’s current scoring system is rule-based and versioned. NX MIND does not claim self-learning machine learning in production today. Adaptive calibration becomes relevant only after sufficient real-world decision and outcome volume exists.
Traceability
Decision support should show its work.
NX MIND is designed around evidence-backed decision support. Source information, extracted requirements, market context, company-specific factors, and the conclusions built from them should remain distinguishable.
RecommendationPursue88/100
Trace back to evidence- Solicitation document
- Extracted requirements
- Eligibility record
- Historical award context
- Market structure
- Company profile
01
Evidence before interpretation
Available source information comes first.
02
Company context matters
The same federal opportunity does not represent the same pursuit decision for every contractor.
03
Logic is versioned
Decision logic can evolve while preserving the context under which earlier recommendations were produced.
Clear boundaries
What NX MIND does — and what it does not claim.
02
The recommendation score is not an AI guess
The score is produced by versioned backend decision logic.
03
Source availability is not source perfection
NX MIND does not imply that every public source or opportunity document is necessarily complete, current, or error-free.
04
No self-learning claim today
NX MIND does not represent its current production scoring system as continuously self-training machine learning.
- The data is public.
- The decisions are yours.
- The structure connecting them is where the value compounds.
Public procurement data is the foundation. Decision memory is where organizational intelligence begins.
NX MIND turns fragmented opportunity evidence into repeatable decision structure — while preserving the context created by how your organization evaluates, pursues, corrects, and learns from opportunities over time.
Start
See how NX MIND turns opportunity data into a pursuit decision.
A guided demo runs a representative public opportunity through the decision layer while you watch.
45–60 minutes · a representative public opportunity · no persistent access, no obligation