Verdic

Verdic is a robust trust infrastructure designed to bring predictability, safety, and governance to Large Language Model (LLM) applications in production environments. It acts as a guard-as-a-service layer that enforces execution contracts, transforming the inherent unpredictability of LLMs into deterministic, reliable outputs. By validating AI outputs against declared specifications, Verdic helps teams build AI they can trust, preventing issues like hallucinations, task misalignment, and format inconsistencies, which are critical for regulated industries such as fintech, healthcare, and legal tech.

How to use Verdic

To use Verdic, you begin by signing up for an account and creating a new project on your dashboard, where you define your project's global intent. Next, generate an API key from your API keys dashboard. With your API key and project ID, you can start making validation requests to Verdic's RESTful API or use the official SDKs (JavaScript/TypeScript, Python). Before calling an LLM, you declare an execution contract specifying the intended task, output modality, safety constraints, and permitted failure modes. Verdic then evaluates the LLM's output against this contract, returning a decision (ALLOW, WARN, SOFT_BLOCK, or HARD_BLOCK) to ensure compliance and safety before the output reaches users.

Core Features of Verdic

• Deterministic Guardrails: Enforces strict execution contracts to ensure predictable and reliable LLM outputs.
• Anti-Hallucination: Detects and prevents AI hallucinations by validating outputs against declared specifications.
• Task & Intent Alignment: Guarantees LLM outputs match declared task contracts and project-specific global intent.
• Modality Enforcement: Locks down output formats, ensuring structured data, JSON, or plain text as specified.
• Contract Orchestration: Defines and enforces execution contracts with safety constraints and compliance policies across AI infrastructure.
• Safe Failure Modes: Handles contract violations gracefully with ALLOW, DOWNGRADE (WARN), or BLOCK decisions to maintain user experience.
• Execution Deviation Risk Analysis: Monitors model behavior using 9-dimensional analysis (e.g., semantic angle, domain matching) to detect drift over time.
• PII & Prompt Injection Protection: Automatically detects and blocks Personally Identifiable Information and adversarial prompt injection attempts.
• Content Moderation: Integrates with moderation APIs to detect and block hate speech, violence, and other unsafe content.

Use Cases for Verdic

Verdic is essential for any organization deploying LLMs in production, especially those in highly regulated or sensitive sectors. It is used by healthcare AI assistants to prevent unverified treatment recommendations, by financial services platforms to ensure accurate calculations and compliant advice, and by educational content generators to maintain on-topic and age-appropriate content. Beyond these, Verdic supports legal tech for policy enforcement and audit trails, and enterprise software for scaling AI applications reliably while adhering to global standards like GDPR and SOC 2.

Advantages of Verdic

The primary advantage of Verdic lies in its ability to transform unpredictable LLM behavior into deterministic, trustworthy outputs. This provides unparalleled reliability, compliance, and predictability for production AI systems. Its enterprise-grade governance features, including real-time validation (5-7s average response time) and a 99.9% uptime SLA (Pro plan), ensure high performance and stability. Verdic's contract-driven approach and multi-dimensional analysis provide robust protection against hallucinations, drift, and policy violations, empowering teams to confidently deploy AI in mission-critical applications without introducing new risk vectors.

Pricing and Plans

Verdic offers simple, transparent pricing designed to scale with your needs:

• Free Plan: $0/month. Includes 1,000 credits/month, anti-hallucination validation, intent verification, basic drift detection, email support, API access, and community support. Ideal for experimentation and small projects.
• Starter Plan: $29/month. Includes 10,000 credits/month, multi-dimensional analysis, and analytics.
• Pro Plan: $99/month. Includes 100,000 credits/month, ML threshold tuning, SLA, and priority support.
• Enterprise Plan: Contact Sales. Offers unlimited credits, custom execution limits, on-premise deployment option, white-label solutions, dedicated infrastructure, custom SLA (99.99% uptime), 24/7 premium support, security review & audit, implementation assistance, custom integrations, and volume discounts.

Annual billing is available for Pro and Enterprise plans with a discount. Each successful validation request consumes 1 credit.