No centralized monitoring across chat UIs, IDEs, and production workflows. You get visibility into maybe one or two channels — never all of them, and certainly not IDE spending.
Shadow AI flows through GitHub Copilot, Cursor, and ChatGPT with zero oversight. Every unmonitored prompt is a potential compliance violation.
SSNs, account numbers, PHI — flowing to external APIs with no DLP controls. Only 17% of organizations have automated protections in place.
EU AI Act high-risk rules enforceable August 2026. SR 11-7 examiners reviewing LLM usage now. Colorado AI Act enforcement begins June 2026.
Copilot and Cursor make thousands of LLM calls daily across your developer fleet — none of it visible in your AI cost dashboards.
Adjust the sliders below to model your actual savings potential.
Oolyx does this. Automatically. On your infrastructure.
Your apps, your IDEs, your agents — all governed, all optimized, all in one dashboard.
$ docker-compose up -d ✓ Proxy on :8787 ✓ Connected to PostgreSQL ✓ Dashboard ready
base_url="http://Oolyx:8787/v1"
Month 1: Baseline (free) Month 2: Optimize + enforce → Savings tracked automatically → Every dollar attributed
Fully customizable tagging system with no predefined schema. Tag requests by manager, organization, team, contract, environment, module — whatever hierarchy your business needs.
Organize LLM connectivity by tagset. Each workspace gets its own view of cost, usage, and governance — isolated but centrally managed. Multi-tenant with local admin control, roles (admin, member, observer), full audit trail.
On-premises deployment satisfies the strictest data residency requirements. Full audit trails ready for your examiners — no cloud dependency, no telemetry.
Oolyx sits between your applications and LLM providers as an on-premises reverse proxy. All traffic flows through one place — governed, optimized, and audited.
docker-compose up -dbase_url → :8787/v1Oolyx intercepts Copilot, Cursor, and Claude Code traffic — enforcing quotas, scrubbing PII, and actively reducing hidden token bloat under the hood, without touching your code or workflows.
Hard enforcement mode guarantees limits are respected. Intelligent quota estimation techniques predict bloated requests before they occur and blocks them.
Python + PostgreSQL. No SaaS dependency. No telemetry. No vendor audit surface. Zero lock-in — swap one URL to start, swap it back to stop.
Comprehensive, intuitive quota system that works with your custom tagging system. Full audit trail of every request, block, and admin action in your PostgreSQL.
Deploy once, see everything immediately. Governance follows at your pace.
Deploy Oolyx, swap URLs, see your first requests flowing through the dashboard immediately. Works on AWS, GCP, or Azure — private subnets, no public exposure.
Tag your applications, set up workspaces, configure quotas and PII rules, enable IDE interception. Compliance layer goes live for your first regulated workflows.
Run model benchmarks, review prompt intelligence, identify waste patterns. Quantify LLM spend reduction with hard numbers from your own traffic data.
After the pilot, we can negotiate a rate that works for you.
Optimize. Illuminate. Save.