S2Alliance designs and deploys applied AI for federal missions — with multiple AI implementations at DHS CBP. We build simulation-backed, on-prem capable solutions for secure environments.
Connect large language models to your authoritative documents and systems so answers stay accurate, citeable, and aligned to policy — with controls suitable for government environments.
Computer vision pipelines that detect, classify, and track objects of interest for operational awareness, screening, and analytics workflows.
High-fidelity digital twin and simulation environments using NVIDIA Isaac Sim to train, test, and validate AI and robotics workflows before they reach the operational edge.
Self-contained and air-gap friendly deployments that keep sensitive data inside your boundary. Ideal for classified, restricted, or disconnected environments where cloud-only AI is not an option.
We combine deterministic rules (policies, checklists, thresholds) with model-based scores so decisions are explainable, auditable, and consistent — not a black box alone.
AI capabilities engineered for federal environments — with a focus on auditability, deployment flexibility, and outcomes proven through AI delivery at DHS CBP and other agency missions.
Title: Self-Contained Artificial Intelligence System for Document Analysis Using Hybrid Deterministic and Model-Based Scoring
Patent application number: 64/020,754
Status: Patent pending
A deployable, self-contained document analysis platform that blends deterministic logic with model-based scoring — designed for trustworthy, repeatable results in secure government settings.
