Launching 2026

Enterprise AI Evals

Red-team your models before they ship. Automated benchmarking, safety validation, and compliance checks for enterprise AI systems.

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What it does

Automated Red-Teaming

Adversarial prompt injection, jailbreak discovery, and edge-case fuzzing at enterprise scale.

Safety Benchmarking

Score models against industry safety baselines before they reach production.

Compliance Mapping

Built-in alignment checks for GDPR, EU AI Act, and internal governance frameworks.

Built for

Financial Services

Validate trading bots and customer-facing AI against regulatory and reputational risk.

Healthcare

Stress-test diagnostic assistants and patient-facing models for safety edge cases.

Enterprise SaaS

Ensure your AI copilots do not hallucinate, leak, or overstep in production.

Government

Certify sovereign AI systems for classified and sensitive deployment environments.

Common Questions

Frequently Asked Questions

Automated adversarial testing: prompt injection, jailbreaks, hallucination triggers, and edge-case discovery designed to break your model before users do.

We support OpenAI, Anthropic, Azure OpenAI, self-hosted LLMs, and custom fine-tuned models via unified API adapters.

Both. Run one-off pre-deployment gates, or plug into CI/CD for continuous evaluation as models and prompts evolve.

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