A managed gateway that unifies access to multiple model providers with a single endpoint, centralizing API keys, rate limiting, caching, and observability. It provides request analytics, cost controls, retry/backoff strategies, and prompt/version governance.
We adopt Gateway to de-risk vendor lock-in, improve reliability at scale, and gain visibility into latency, token usage, and cost across providers and environments.
Licensing notes: SaaS gateway; models remain provider-side. We can route traffic to alternative gateways or direct APIs to avoid lock-in.
How We Use It
- Centralized model access across vendors
- Cost and latency management for production AI
- Prompt/version governance and analytics
AI / LLM
Why this matters: Controversial, misunderstood, and overhyped though they may be, AI and LLMs are transforming industries and society. Used carefully and responsibly, they are still a valuable tool for innovation and progress. We design and deploy LLM-powered features with a focus on safety, performance, and maintainability, leveraging managed model providers and an SDK-first approach for rapid iteration. Preferred defaults: Vercel AI SDK + AI Gateway for multi-model orchestration; Anthropic and OpenAI as primary model providers.