Building Trust Infrastructure
for AI Systems

Large Language Models have transformed how we build software, but they introduced a fundamental problem: unpredictability. Hallucinations, drift, format inconsistencies, and policy violations make it risky to deploy LLMs in production environments—especially in regulated industries.

Verdic solves this through contract-driven execution. We provide a guard-as-a-service layer that enforces execution contracts—not as post-hoc judgment, but as deterministic constraint enforcement. Before calling an LLM, you declare a contract specifying intended task, output modality, safety constraints, and permitted failure modes. Verdic evaluates outputs strictly against these declared contracts, returning ALLOW,DOWNGRADE, or BLOCK—enabling safe failure modes that preserve user experience while preventing risk.

Today, teams in fintech, healthcare, legal tech, and enterprise software rely on Verdic to ship production AI they can trust.

How It Works: Verdic uses a sophisticated multi-dimensional analysis system with 9 validation dimensions including semantic angle detection, domain matching, topic coherence, and intent alignment. Our guard system processes each AI output through multiple validation layers: PII detection, prompt injection protection, content moderation, modality validation, and advanced semantic drift analysis. The Policy Enforcement Engine returns deterministic policy violation levels (ALLOW, WARN, SOFT_BLOCK, HARD_BLOCK) based on your project's global intent and configurable thresholds.

API Capabilities: Our RESTful API supports up to 100 requests per minute per API key, with 60-second request timeouts. Each validation consumes 1 credit from your monthly allocation. We offer flexible pricing from free tier (1,000 credits/month) to enterprise (unlimited credits) with transparent, predictable costs.