///// Methodology

How AURA works.

For technical buyers and capture leaders who want to know what's under the hood. AURA — the Adaptive Unified Response and Acquisition Engine — is a compound system: specialized components for retrieval, deterministic funding math, calibrated scoring, and fenced LLM reasoning, composed into a pipeline you can trust and audit.

///// First principles

Built for trust, not theater.

Deterministic-first

Funding figures, scores, and balances are computed in code. The LLM explains and recommends — it never invents a number.

LLM fenced

Reasoning runs behind structured outputs and guardrails. Every claim must cite a source; ungrounded generation is rejected.

Eval-gated

Nothing ships without passing offline evals. Calibration, grounding, and guardrail-fire rates are tracked online — quality is engineering, not marketing.

///// How AURA works

Deterministic scores. Grounded recommendations. Full audit trail.

The decision layer composes bounded, testable components — not a single prompt.

Scoring

Deterministic Pursuit Score

Win-probability computed from capability fit, competition, past performance, and set-aside eligibility — held to real outcomes and monitored for calibration drift.

Funding

Grounded Budget Runway

Remaining unobligated balance joined from appropriations and execution data — never guessed. Every figure traces to USAspending, OMB apportionments, and related public sources.

Recommendations

Evidence-backed Bid Advisor

Verdicts cite computed signals and solicitation text. Ungrounded claims don't ship; humans own the final bid decision.

/////Agents & skills

Workflows, not hype.

AURA agents orchestrate skills into jobs your capture team needs — search, score, recommend, alert. Most are deterministic workflows: fixed pipelines that are predictable, testable, and cheap. Each agent has a typed job, a fixed skill chain, and eval gates before deploy.

Skills are bounded, typed, versioned units of work with input/output schemas, determinism flags, guardrails, and their own eval sets. Swap a data source or refine a scorer without rewriting the agent.

MVP skills include search, capability match, solicitation parse, funding fetch, budget runway compute, pursuit scoring, risk assessment, and bid recommendation.

▸ QUALIFY

Strong fit, funded through FY, incumbent risk flagged — review teaming options.

computed score: 72runway: $4.2M rem.human decides

agent output · Pursuit Decision · all numbers traced to computed sources

///// Full lifecycle

Discover → Assess → Decide → Build → Monitor

AURA runs the full GovCon capture lifecycle. Our wedge is the decision loop — everything else supports whether to commit.

Discover

Find & match

Search, capability match, light scoring — rank opportunities, never act.

Assess

Parse & score

Solicitation understanding, runway, calibrated Pursuit Score.

Decide

Recommend

Bid Advisor verdict with evidence. You decide to bid.

Build

Capture & propose

Briefs, compliance matrices, win themes — cited and editable.

Monitor

Watch & alert

Funding signals, market changes, runway-aware alerts.

Audit trail by design. Every agent run logs inputs, computed signals, and outputs. Decisions and outcomes feed the calibration flywheel. For security, data handling, and compliance detail, see Trust.
///// Get started

Put the methodology to the test.

Bring a pursuit you already understand and check our figures against what you know.