AI systems shouldn't operate without supervision.
Olyx was built to solve a structural flaw in modern AI: every LLM call executes with almost no control, no auditability, and no economic accountability. We enforce a deterministic control layer on every request — so data is protected, decisions are traceable, and systems can be trusted in production.
Not observability. Not guardrails.
Enforcement.
Every request passes through Olyx before reaching a model — no bypass paths, no silent failures.
Route by policy, cost, and sensitivity across OpenAI, Anthropic, Gemini, Bedrock, Azure, or private models.
Sub-2ms enforcement with zero-copy parsing. Governance without latency tradeoffs.
Detect waste, latency spikes, and routing inefficiencies automatically — before costs compound.
Identify model behavior shifts in real time using entropy-based analysis.
Track how agents behave — not just outputs, but decisions, loops, and tool usage.
Every request becomes a verifiable trace — inputs, outputs, routing, cost, and decisions.
If governance fails, execution stops. No uncontrolled model calls.
Works across all providers and MCP-compatible systems. No lock-in.
From control layer → system of record for AI.
Govern every model call with enforced safety, routing, and audit logging.
Understand cost, performance, and behavior across your entire AI stack.
Anchor decisions, prompts, and system behavior into a persistent, queryable record.
Continuously validate compliance, performance, and system integrity in real time.
We treat AI like infrastructure, not a feature.
If you can't control execution, you don't have a system — you have a liability.
Logging after the fact doesn't prevent failures. Enforcement must happen inline.
Sensitive data should never leave your boundary unless explicitly allowed.
Where Olyx runs.
Run inside your infrastructure for full data control.
Intercept traffic before it reaches external providers.
OpenAI, Anthropic, Gemini, Bedrock, Azure, private models, MCP.
Route sensitive workloads to internal models automatically.