Drop a SoW, PWS, or RFP and Alloy extracts every labor category, skill requirement, clearance level, and certification. Raw documents are purged immediately — only derived intelligence is retained.
The intelligence layer maps demand signals across your entire proposal history, surfacing which skills are trending, which clearances are most requested, and where your bench has gaps.
Alloy builds a canonical skills taxonomy from every proposal you process. See which skills appear most frequently, which labor categories dominate, and what clearance levels are required — all indexed and searchable.
Skills are deduplicated and canonicalized across documents. "K8s", "Kubernetes", and "container orchestration" all map to the same demand signal.
As you verify candidates, Alloy builds intelligence on employer quality. See average scores, candidate ranges, and which employers consistently produce high-performing talent for defense contracts.
Employer signals are derived from verified data — GitHub activity, certification confirmations, career progression analysis, and 30+ other independently verified data points.
Alloy tracks skill demand across time, identifying emerging technologies and declining requirements. Know which certifications are gaining traction and which legacy skills are fading — so you can upskill your bench proactively.
Trends are computed from proposal data across time periods, with statistical significance thresholds to filter noise from real signals.
Track placement outcomes against Alloy scores to validate and improve the scoring model. See 90-day and 6-month retention rates, salary accuracy, and performance breakdowns by score band and archetype.
The outcomes engine feeds back into scoring weights, creating a learning loop that gets smarter with every placement your team records.
Every SoW your team processes makes Alloy smarter. Start building your defense talent intelligence layer today.
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