Govern what your AI agents do.
Optimize what they consume. Control what they spend.

Policy enforcement, DLP, and cost controls for AI agents. A transparent proxy across OpenAI, Anthropic, Bedrock, Vertex AI, and more — no code changes.

RenLayer platform dashboard showing agent monitoring and governance

They govern their agents with us

Platform capabilities

Full Visibility / Cost Control

See every agent in real time: status, provider, token usage, cost, and errors. One dashboard across your full fleet — no sampling, no blind spots.

Full Visibility / Cost Control Full Visibility / Cost Control

Intelligent Control Policies

Block, allow, or flag requests by cost, provider, model, or content. Start from predefined templates or write custom rules. Your agents run within the limits you set.

Intelligent Control Policies Intelligent Control Policies

Data Leak Prevention (DLP)

Detect and block sensitive data before it reaches any LLM provider: credit cards, SSNs, API keys, Stripe keys, AWS and GCP credentials, GitHub and Slack tokens, private RSA/EC keys. Classify by severity, block or alert.

Data Leak Prevention (DLP) Data Leak Prevention (DLP)

Automatic Cost Optimization

Cut AI spend without touching code. Request compression, empty-field removal, and prompt cache optimization reduce tokens sent while preserving output quality.

Automatic Cost Optimization Automatic Cost Optimization

Designed for your security and performance

Private / Zero Risk

Install in minutes without touching your infrastructure. Works as a transparent proxy: disable it and everything keeps running.

Private / Zero Risk

Minimal Latency

Our proxy adds less than 10ms of latency to each request. Designed for production environments where every millisecond counts.

Minimal Latency

GDPR, CCPA & EU AI Act Ready

Full compliance with the main data protection regulations. Data residency in Europe, automated audit trails, and retention policies.

GDPR, CCPA & EU AI Act Ready

Helping Enterprises, SMBs and Startups

“I've been following RenLayer's research for a while now and it's genuinely impressive. Their approach to agent governance is what finally lets enterprises take these systems from prototype to production without huge risk, and the work they're doing on observability and token efficiency is exactly where the industry needs to go.”

Asier - Nvidia

“We run many different agents across several teams, from customer support to internal ops and sales, so each one needs its own set of rules. With RenLayer we finally have a single control plane where we can manage every agent's behavior, permissions and policies from one place.”

Felix - COO, Mirai

“Legal work runs on extremely sensitive documents, from contracts to personal data and confidential filings, so we need to know exactly what our agents are doing with that information at every moment. RenLayer gives us that visibility in production, and we recognized their work with our European Innovation Award because of how governance like theirs can really transform the legal industry.”

Deborah - AI Strategy Lead, Lefebvre

“As an integrator partner, we deploy AI agents for enterprise clients, and RenLayer gives us a governance and security layer that we can bring to every engagement by default. Thanks to that, our customers get enterprise-grade policy enforcement from day one and they don't have to build any of it themselves.”

Álvaro - Smartech

“The proxy architecture is brilliant. We didn't have to change a single line of our existing agent code, so the deployment felt zero risk, and with their onboarding team we were fully governed in under two hours.”

Laura - Engineering Lead, Asisa

“Before RenLayer we had no real visibility into what every team was spending on AI agents. Now we can track agent cost in real time across the whole company, set budgets per department, and we've cut our AI spend by more than 30% without slowing any team down.”

Ángel - CFO, Linasa

Recent Highlights

RenLayer team

RenLayer has an applied research team focused on building the future of agent implementation in companies.

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