DeepRails specializes in developing research-backed, industry-agnostic Guardrails for retail and enterprise AI applications. We provide the essential, high-performance evaluation and defense layer between Large Language Models (LLMs) and your end-users, ensuring reliable, safe, and performant AI. Users can interact with our powerful APIs to run automated evaluations, continuous monitoring, and real-time defenses. The intuitive Krino Console provides a central dashboard to visualize and explore insights, manage evaluations, and configure guardrails effectively.

Evaluation Engine

Learn how DeepRails scores AI outputs using multi-model evaluation, confidence-weighted scoring, and adaptive run modes.

Contact Sales

Connect with our team to explore DeepRails’ capabilities for your organization.

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The Challenge - Evaluating Model Performance

“Lack of evaluations has been a key challenge for deploying to production”
– OpenAI, DevDay Conference
AI systems can generate significantly varied outputs for identical inputs, complicating benchmarks and making consistent evaluation difficult. Current evaluation methods struggle to identify subtle inaccuracies, hallucinations, or early indicators of performance drift, exposing organizations to critical risks and leaving developers uncertain about the safety, reliability, and effectiveness of their applications. Additionally, as models evolve, previously reliable methods quickly become obsolete. This requires the need for evaluation tools that keep pace with continuous changes in AI behavior to consistently provide trustworthy insights and guardrails against critical failures.

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How DeepRails Helps

DeepRails delivers highly performant research-driven metrics, continuous monitoring capabilities, and real-time guardrails designed specifically for mission-critical AI applications.

Test and Tune Prompts with Guardrail metrics

Measure and compare prompt performance across completeness, correctness, adherence, and safety dimensions using Guardrails metrics to surface meaningful quality signals.

Stay Ahead with Real-Time Monitoring

Continuously monitor your AI applications with unmatched precision. Detect performance drift, subtle issues, and trends enabling timely interventions and sustained reliability in production.

Defend Applications with Automated Guardrails

Safeguard your production environments using automated guardrails to intercept and block undesired model behavior. Set thresholds to maintain quality and safety in live environments.

Simplify AI Ops with API and Krino Console

Seamlessly integrate via API into your existing workflows for evaluation, monitoring, and defense. Visualize results and manage configurations effortlessly through the Krino Console dashboard.

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Services

DeepRails provides three core services to ensure your AI solutions remain effective, safe, and performant throughout their lifecycle.

Evaluate

Experiment and iterate with fast, automated AI evaluations across key quality dimensions.

Monitor

Monitor and analyze AI application performance in production to detect and prevent performance regressions.

Defend

Safeguard production AI applications in real-time with automated guardrails and robust protections.