https://store-images.s-microsoft.com/image/apps.15506.902fa89f-a40f-4ea7-b77a-0f254cef5146.b04c1f8d-f7be-4dd9-a7bb-a191e11a20ce.a435b641-bba6-4119-be06-0c79570b8de7

Verax Control Center

Verax AI

Verax Control Center

Verax AI

Visibility & Control for your LLMs in production to discover and auto-correct behavioral issues

Verax Control Center provides visibility and control for LLMs (Large Language Models) in production. As an all-in-one platform, Verax delivers in-depth insights, real-time issue detection, and automated mitigation.

Enterprises can monitor LLM performance, auto-correct behavioral issues like hallucinations, biases, or toxic outputs, and safeguard sensitive data from breaches or compliance risks. Verax seamlessly integrates with new and existing LLM deployments—whether built internally, third-party, or a mix of both.

User Personas

Data and AI Specialists:

  • Gain actionable insights into LLM behavior, biases, and other issues

  • Auto-correct errors like hallucinations and biases for high-quality outputs

Governance, Risk, and Compliance Officers:

  • Safeguard sensitive data and ensure regulatory compliance

  • Proactively prevent data leaks and secure LLM interactions

Enterprise IT Teams:

  • Gain visibility into production LLMs and ensure reliable operations

  • Ensure smooth and risk-free operation of LLMs in production

Customer Needs Addressed

Key Challenges

  1. Lack of Predictability in LLM Behavior
    Real-life inputs are inconsistent, resulting in variable outputs that impact reliability and user trust

  2. Lack of Determinism in LLMs
    LLMs produce different responses to the same prompt, complicating debugging, reproducibility, and output validation—key for enterprise-grade solutions

  3. LLMs Frequently Generate Undesired Responses
    Issues like hallucinations, biases, and unsafe outputs harm trust, brand reputation, and compliance

  4. Data Leakage Risks
    LLMs may expose sensitive data, creating risks for privacy, regulatory compliance (e.g., GDPR, HIPAA), and security

  5. Hard to Quantify an LLM-Based Solution for an Organization
    Measuring LLM ROI is challenging due to unclear metrics and unpredictable outputs, difficulty aligning results with business goals, making AI adoption harder to justify

One Control Center for Your LLMs


Verax Explore

  • Detect trends and identify biases

  • Optimize LLM quality and performance

  • Analyze risks for informed decision-making

Verax Control

  • Auto-correct hallucinations, false, or biased responses.

  • Prevent undesired outputs from reaching users

  • Deliver customized, high-quality interactions

Verax Protect

  • Secure your systems against costly data breaches

  • Maintain regulatory compliance with robust safeguards

  • Protect PII through contextual access controls

Ensure Verified & Responsible AI

  • Complete Visibility: Full transparency into LLM behavior for informed decisions

  • Real-Time Risk Mitigation: Instantly resolve hallucinations, biases, and errors

  • Advanced Data Protection: Protect against data leaks and safeguard sensitive information