AI Gateway & LLM Orchestration
Govern every AI request across your enterprise.
Centralize all your AI workloads through a single intelligent gateway. Route requests across models, enforce policies, track costs, and maintain full governance over every LLM interaction.
Overview
As enterprises adopt multiple AI models and LLM providers, managing them in isolation creates security gaps, runaway costs, and zero visibility. Our AI Gateway practice builds a centralized control plane that sits between your applications and every AI provider — enforcing authentication, rate limits, cost attribution, PII filtering, and full audit logging. You gain unified observability across OpenAI, Azure OpenAI, Anthropic, and open-source models, with the ability to route traffic based on cost, latency, or compliance requirements.
Key Benefits
- Single pane of glass for all AI model traffic
- Enforce rate limits, quotas, and cost budgets per team
- PII detection and data masking before LLM calls
- Full audit trail for regulatory compliance
- Seamless failover between AI providers
What We Deliver
- AI gateway architecture design
- Production deployment and configuration
- Observability dashboards (Grafana / Datadog)
- Cost attribution reports per team/project
- Security policy framework documentation
Get Started
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Recommended Implementation
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