Building AI systems that enforce intelligence.

Standard LLMs hallucinate on carrier rules, weight limits, and routing constraints — they treat business rules as text to interpret rather than constraints to enforce. This architecture solves that through four distinct layers.

• Structured knowledge graph of carrier rules and routing logic
• Deterministic LLM programming for intelligent invoice parsing
• Step-by-step freight movement simulation
• Hard constraint validation before every output

Every other AI detector analyzes a finished document after the fact. Authorship Meter monitors your writing session live — measuring how much of the work is genuinely yours, message by message, through four independent signals.

• Edit transformation depth — how much you reworked AI output
• Acceptance tracking — critical engagement vs wholesale acceptance
• Linguistic fingerprinting — your voice vs the AI's
• Semantic similarity — idea-level, not just word-level

Transportation audit companies hire dozens of agents to answer repetitive customer queries about invoices, payments, shipments, and disputes. SmartKid replaces the queue — customers describe their issue in plain English, SmartKid queries your live database and responds instantly, accurately, without hold music.

• Natural language query — no forms, no invoice numbers required
• Real-time database integration — always current, never stale
• Auto ticket creation with full context pre-loaded for your team
• 80% of queries resolved without a human agent

AI agents are being trusted with consequential actions — payments, adjustments, contract modifications, shipment changes. Every action rests on assumptions. Those assumptions expire. No current framework systematically checks whether they are still true at the moment of execution. Warrant does. It is an Assumption Validity Layer that intercepts consequential agent actions, checks all four failure modes, and decides: Proceed, Review, or Hold.

• Four failure modes — Authorization Drift, Scope Creep, Auditability Gap, Irreversibility
• Consequentiality gating — refresh only what the specific action depends on
• Three decisions — Proceed / Review / Hold — before every consequential action
• Proof receipt — complete assumption state logged at execution time