Portkey offers a unified LLM‑ops platform that provides a single OpenAI‑compatible gateway for over 1,600 language models, handling routing, load‑balancing, semantic caching, and real‑time observability of cost, latency, and token usage. The platform includes built‑in governance guardrails, role‑based access control, and a collaborative Prompt Engineering Studio for versioned prompt management, and can be deployed as SaaS or on‑premise to meet enterprise compliance standards.
Funding
Funding not disclosed
NEFounders
Product
Problem
AI development teams must integrate dozens of large language models, manage API keys, monitor performance, control costs, and enforce security and compliance policies—all while keeping latency low and ensuring production reliability. The fragmented tooling landscape forces engineers to stitch together custom adapters, disparate logging pipelines, and ad‑hoc guardrails, which slows time‑to‑market and increases operational risk.
Solution
Portkey provides a unified LLM‑ops stack that consolidates model access, observability, governance, and prompt lifecycle management into a single platform. A universal AI Gateway exposes a single OpenAI‑compatible endpoint for over 1,600 models, handling routing, load‑balancing, retries, and semantic caching to reduce latency and expense. Real‑time observability captures request‑level metrics, cost, latency, and token usage, feeding a dashboard and exportable logs for FinOps and debugging. Built‑in guardrails enforce PII redaction, prompt‑injection protection, and custom policy hooks without code changes. Prompt Engineering Studio offers versioned prompt libraries, collaborative editing, and automated testing across multiple models. Enterprise‑grade security includes virtual key vaults, role‑based access control, SSO integration, and compliance certifications (SOC 2, ISO 27001, GDPR, HIPAA). The platform can be deployed as a managed SaaS service or self‑hosted in private clouds for full data sovereignty.
Target Audience
The primary users are AI engineering teams and DevOps groups building production‑grade generative AI applications in enterprises, SaaS providers, and high‑growth startups that require scalable model orchestration and governance.
Features
- Universal API gateway supporting 1,600+ LLMs with dynamic routing, load‑balancing, and automatic failover
- Semantic and deterministic caching layer that cuts repeat request latency and lowers token spend
- Full‑stack observability: per‑request logs, traces, cost analytics, and custom metadata export (OpenTelemetry compatible)
- Guardrails framework with real‑time PII redaction, prompt‑injection filtering, and extensible policy plugins
- Prompt Engineering Studio: collaborative version control, side‑by‑side model testing, and automated rollout pipelines
- Role‑based access control (RBAC) and virtual key management for fine‑grained permissioning and key rotation
- Compliance suite meeting SOC 2, ISO 27001, GDPR, and HIPAA standards, with optional on‑prem deployment
- Open‑source gateway core (10k+ GitHub stars) enabling community contributions and custom extensions