A model-agnostic integrity layer for enterprise AI. It flags value drift, sycophancy, and identity slippage in real time, and records every interaction to a tamper-evident audit trail. Runs alongside OpenAI, Anthropic, Google, or your own models — in shadow mode first, so you measure before you enforce.
Your AI tells users what they want to hear — agreeing with a bad decision, softening a real risk, flattering instead of informing. The most damaging answers are often the most agreeable ones.
Over a long session the model quietly departs from your values and tone. The second reply is on-brand. The fortieth isn't.
It stops sounding like you — and starts sounding like a generic assistant, or worse, like your competitor.
None of these trip a toxicity filter. All of them erode trust, brand, and — under the EU AI Act, ISO 42001, and the NIST AI RMF — your compliance posture. See seven real verdicts from our validation set →
A separate evaluator with your ethics at position zero — fresh context on every call, so the standard never fades with conversation length.
Most guardrails ask is this harmful? Oethos asks is this still you? — the question that protects a brand, not just a content policy.
Your cloud provider's guardrails only cover their own models. Oethos governs every vendor you use, from the outside — one standard, applied consistently.
When the evaluator can't reach a confident verdict, it holds the response rather than waving it through. Every verdict lands in a hash-chained audit trail you can independently verify.
A transparent proxy. No rebuild, no rip-and-replace.
Every model is trained on somebody's values — usually undisclosed. Oethos makes the standard explicit, written down, and yours to configure. Our default framework rests on a simple, demanding idea: protect the good, proactively — treat people as ends, never as metrics to optimize. Adopt it, adapt it, or replace it with your own.
Finance, healthcare, legal, insurance — where an off-standard answer is a liability, not just a bad look.
Including faith-based institutions — that want their AI to hold a stated standard, not an accidental one.
A structured assessment of where your AI is drifting today, with a written findings report.
We translate your values into enforceable, department-level policies.
The integrity layer in production, with the full audit trail. Custom pricing by volume.
One assessment tells you where your AI is already off-standard. No commitment beyond that.
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