Runtime AI Observability and Control

Stop AI failures before they

cost

you

Failures begin in AI's brain. We see inside the AI's brain and block them at the source.
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Soft, abstract pastel colors blending to create a calming gradient of blues, purples, and pinks.

Enterprises believe that their AI is working perfectly

They have created sophisticated harnesses

They have run tests and evals

They have red-teamed it to identify security gaps

They have connected it to observability tools

But AI still fails in production

What are AI Failures?
Any AI output or action that is undesirable for your organization's goals, misaligned to your values, or adversarial to your success. Categories include hallucinations, prompt injections, manipulation, PII leakage etc.
Why do they happen?
AI systems are non-deterministic by nature. No one, including frontier model providers, know how they work and what will they do next.
Why do they matter?
Failures can erode user trust and drive churn, waste tokens without achieving outcomes, and in extreme cases, cause regulatory violations and brand damage
Why now?
Enterprises are seeing more than 95% pilots not achieving ROI, token bills are exploding, and more than 1,000 AI regulations are underway globally
AI interface displaying a user input asking to explain how to bypass security protocols, flagged with a red alert 'Policy Risk Detected,' and risk meters showing concerns for Weapons, Policy Violation, Refusal, Violence, and Profanity.
User input requesting internal employee records triggers detection of policy violation with options to alert, block, re-route, or re-prompt.
Dashboard showing top failure types with RAG Failure, Prompt Injection, and AI Uncertainty, total failures of 4,423 with a 4.17% decrease, and recent high-severity failures listed.
Logos of top cloud providers: AWS, Google Cloud, Azure; top computer vision companies: Imagga, Fireworks AI, Clarifai; top human brand companies: JLL, Gemini, Meta, OpenAI, Replika, Magic Leap; top AI chat assistants: CrewAI, Hugging Face.

How Realm Labs stops AI Failures

Detect

See the failures everyone else misses.
Realm Labs watches every AI interaction as it happens and surfaces the ones that go off the rails. Hallucinations, off-goal answers, leaked data, unsafe behavior.

Respond

Stop failures from causing harm.
The moment an interaction crosses the line you set, Realm steps in. Block it, rewrite it, route it, log it. Your AI keeps shipping. The failure doesn't.

Improve

Turn every failure into a fix.
Every caught failure becomes a lesson your AI carries forward. Patterns surface. Drift gets corrected. The same incident doesn't happen twice.
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