From Agent Protection to Enterprise AI Data Governance

ADRI protects agents from bad data. Verodat scales governance across your AI workforce. Start open source, grow to enterprise.

Ready to scale from prototype to production? Start with open source ADRI today, or book a demo to see how Verodat’s enterprise platform handles AI data supply at scale.

The Pattern We See

The Journey: From One Agent to Enterprise Scale

Week 1: A single AI agent’s workflow is protected with ADRI. It runs smoothly.

Month 1: Five agents are in operation. Each creates its own data standards, logs, and requirements β€” ADRI ensures reliability in agent workflows.

Month 2: More agents are deployed across teams. Data requirements become scattered, compliance turns manual, and the data team is flooded with ad-hoc requests.

Month 3: The organization now needs enterprise-grade data governance, centralized compliance, and controlled AI data access to safely manage its growing AI workforce.

This is exactly what the Verodat platform was built for

ADRI Open Source

From

Free

forever

Perfect for Individual Developers

Start protecting your AI agents today - prove data reliability works before you scale

AI data protection

5-dimensional data quality assessment

Auto-generated data standards (YAML)

Local audit logging and reports

Full source code transparency

Github

ADRI Logging

From

$100

/10,000 Tokens

Perfect for Teams & Compliance

Graduate from individual agent monitoring to enterprise visibility

Everything in Open Source

Cross-agent data analytics

Centralized compliance dashboard

MCP endpoint

Enterprise compliance reports

Start Free Trial

Data Supply Manager

From

$1500

/month

Perfect for Enterprise Production

Move from monitoring to controlling - enterprise data supply for mission-critical AI

Everything in ADRI Logging

Tunable data access controls for AI agents

Custom data models (3+ datasets)

Real-time data supply pipeline management

Priority Support

Contact Sales
The ADRI Journey

From prototype to production, ADRI grows with your AI engineering journey. Each step solves a real problem AI engineers face when scaling from one agent to enterprise-grade systems.

ADRI Guard - One Line Protection

Add `@adri_protected` to any function and instantly protect your AI agents from bad data. No configuration needed - ADRI automatically detects quality issues and blocks problematic data before it breaks your workflow.

From fragile agents to bulletproof workflows πŸŽ₯

Auto Standard Generator - Know Your Requirements

ADRI analyzes your AI workflow and automatically generates YAML data standards. No more manual documentation - get precise data requirements that evolve with your code.

From guessing to precision data specs πŸŽ₯

Enterprise Logging - Centralized Visibility

Centralized compliance dashboard showing data quality across all AI agents. Enterprise audit trails, cross-agent analytics, and automated reporting for management visibility.

From scattered logs to unified compliance πŸŽ₯

Data Supply Manager - Controlled Business Data

Give AI agents controlled access to real business data. Set precise boundaries, monitor usage, ensure deterministic behavior - all while maintaining security and compliance.

From risky database access to secure data supply. πŸŽ₯
Technical Resources & Community

Deep-dive into AI data reliability. Join the community building the future of trustworthy AI agents.

Access technical resources, implementation guides, and connect with AI engineers worldwide solving similar challenges.

FAQ

Get answers to common questions about ADRI Enterprise. From technical integration to pricing, we’ve addressed the key concerns AI engineers have when evaluating enterprise data reliability solutions.

What's available today vs. what's coming in ADRI Enterprise?

ADRI Open Source (3.1.0+) is fully available today with @adri_protected decorator, auto-standard generation, and 5-dimensional quality assessment. ADRI Verodat Logging launches Q3 2025, with early access for beta joiners see link below, followed by Data Supply Manager in Q4 2025. You can start with the proven open source foundation and seamlessly upgrade when enterprise features become available.

How does token-based pricing actually work?

Tokens measure actual usage – API calls, data processed, analyses run. For example: $100 gets you 10,000 tokens, roughly equivalent to processing 100,000 data records through quality assessment. You get detailed usage reports and can set spending limits. No surprises, no hidden costs – you pay for what you actually use.

Should I build this myself instead of using ADRI Enterprise?

ADRI works with any Python-based AI framework through the @adri_protected decorator. We have specific examples for LangChain, CrewAI, AutoGen, Haystack, and more. Enterprise features integrate via MCP (Model Context Protocol) and standard APIs. Most integrations take minutes, not days.

How does ADRI integrate with my existing AI stack?

ADRI works with any Python-based AI framework through the @adri_protected decorator. We have specific examples for LangChain, CrewAI, AutoGen, Haystack, and more. Enterprise features integrate via MCP (Model Context Protocol) and standard APIs. Most integrations take minutes, not days.

What about data security and privacy?

Your data never leaves your infrastructure with ADRI Open Source. Enterprise features offer both cloud and on-premises deployment options. We support enterprise SSO, SOC 2 compliance, GDPR compliance, and HIPAA compliance. Data Supply Manager processes data in controlled, monitored pipelines with full audit trails.

How do I migrate from open source to enterprise?

Zero disruption migration. Your @adri_protected agents work identically across all tiers. Simply add enterprise logging or data supply endpoints – no code changes required. You can upgrade or downgrade based on your needs without affecting your AI agents.

Usage Stats
  • ⭐ 150+ GitHub stars and growing
  • 50+ AI agents protected
  • 100,000+ validations completed
  • 4+ community forks