Scale AI with Confidence
Continuous evaluation, monitoring, and assurance for enterprise AI systems.
Test and improve models and agents in development
Run structured evaluations before launch to catch quality, safety, and alignment issues early.
Monitor live systems for regressions
Continuously track production behaviour and detect regressions when prompts, models, or workflows change.
Gain evidence that models are behaving responsibly
Generate auditable insights for compliance, governance, and stakeholder trust across regulated environments.
Aegis is the evaluation layer for LLM products—scenario-driven test suites, automatic scoring, and regression tracking so your models stay reliable in production.
Why Aegis?
Get the transparency you need to trust AI at scale
State-of-the-Art Metrics
Aegis uses continuously evolving metrics combining deterministic logic with LLM-as-a-judge techniques to deliver precise, contextual, and repeatable AI quality evaluations.
Granular Scoring, Not Just Pass/Fail
Move beyond binary results with 0–100 scores across performance, safety, and alignment, enabling benchmarking, trend tracking, and targeted improvement over time.
Explainability and Transparency
Aegis doesn’t just flag issues—it shows why they happen, providing traces and explanations that accelerate debugging and build confidence in AI-driven decisions.
Full Lifecycle Coverage
Evaluate AI systems before deployment, monitor them in production, and analyze incidents afterward—all within a single platform designed for the entire AI lifecycle.
Accessible via API
Integrate Aegis with a simple API call—no new SDKs or tools—so teams can embed AI evaluation directly into existing workflows and CI/CD pipelines.
Accessible via MCP
Designed for agentic systems, Aegis integrates via Model Context Protocol to provide real-time evaluation, guardrails, and oversight for autonomous AI at scale.
Enterprise-Ready by Design
Built for scale, security, and compliance, Aegis fits seamlessly into enterprise environments with strong governance, auditability, and cloud-native integration.
Domain-Specific Benchmarks
Use curated datasets and evaluation suites tailored to healthcare, finance, and enterprise domains, ensuring results reflect real-world risks and expectations.
White-Glove Onboarding and Support
Get hands-on onboarding, expert guidance, and best-practice playbooks to ensure fast adoption and meaningful results from day one.
Inside Aegis
Confidence doesn’t come from a single test
Continuous evaluation history gives teams the confidence to deploy and iterate safely.
Use cases
You can use Aegis in a variety of ways
Validate AI Systems Before Production
Run structured pre-deployment evaluations to ensure models, prompts, and agents meet quality, safety, and alignment thresholds prior to launch.
Monitor Customer-Facing AI Assistants
Continuously observe production chatbots and virtual assistants to detect quality regressions, unsafe responses, or unexpected behavior before they impact customers.
Prevent Hallucinations in RAG Pipelines
Evaluate retrieval-augmented generation systems for context relevance, sufficiency, and grounding to reduce hallucinations and ensure answers reflect enterprise knowledge.
Support Regulatory Audits and Compliance
Generate auditable evidence that AI systems behave responsibly, respect data governance rules, and meet regulatory expectations in healthcare, finance, and enterprise environments.
Detect Bias, Toxicity, and Harmful Outputs
Identify biased, toxic, or misleading responses early, helping teams maintain ethical standards and protect brand trust as AI systems scale.
Secure AI Against Prompt Injection and Data Leakage
Test and monitor AI systems for jailbreak attempts, prompt injection vulnerabilities, and accidental exposure of sensitive or personally identifiable information.
Catch Regressions in CI/CD Pipelines
Integrate AI evaluations directly into CI workflows to automatically detect regressions when prompts, models, or workflows change.
Align AI Outputs with Brand and Tone
Ensure responses consistently follow company tone, style, and communication guidelines, flagging off-brand or off-topic behavior in real time.
Gain Explainability into AI Failures
Trace individual interactions and scores to understand why failures occur, enabling faster debugging, clearer accountability, and more confident decision-making.
Ready to scale AI with confidence?
Discover how Aegis evaluates, monitors, and assures AI systems across the full lifecycle—so your team can ship faster without losing control.