An AI gateway between your app and 400+ LLM providers. Change your base URL to router.requesty.ai and instantly get intelligent routing, fallbacks, cost optimization, caching, governance, and observability.

One line of code: client = OpenAI(base_url='https://router.requesty.ai/v1', api_key='your-key'). Works with all major SDKs.

How does it reduce costs?

Smart routing to cheaper equivalent models, caching, automatic fallback from expensive providers, per-user spending limits, and real-time cost analytics.

Does it work with Cursor, Cline, Continue?

Yes. Native OAuth integrations. Any model, unlimited requests, no rate limits.

How does pricing work?

5% markup on model costs. All features included. Enterprise plans available with volume discounts.

Can I use my own API keys?

Yes. Bring your own keys for any provider while getting Requesty's routing and observability. Or use our unified key.

Case Study|Enterprise AI Gateway

How ZoomInfo Stopped 1,300+ Engineers from Accessing AI Providers Directly

ZoomInfo (NASDAQ: GTM) · $1.25B annual revenue · 35,000+ customers

1,300+

Engineers on one gateway

Code changes required

100%

Cost visibility

2 weeks

Time to full deployment

24/7

Multi-provider resilience

“Requesty's enterprise readiness and configurability is what set it apart. For us, an AI gateway isn't just about routing. It's about giving our engineering leadership full control over how 1,300+ engineers interact with AI, while making sure developers never feel the friction.”
Arkady Landes
Senior Cloud DevOps Manager, ZoomInfo

About ZoomInfo

ZoomInfo is the Go-To-Market Intelligence Platform used by over 35,000 companies worldwide. The platform combines the industry's most comprehensive B2B database, over 100M+ company profiles and 300M+ professional contacts, with AI-powered applications, intelligent agents, and workflow automation that help sales, marketing, and revenue operations teams find and close their next deal.

With $1.25 billion in annual revenue and a rapidly growing AI portfolio including ZoomInfo Copilot, multi-agent frameworks, and MCP-powered integrations, ZoomInfo's engineering organization is one of the most AI-forward in enterprise SaaS. Over 1,300 engineers across multiple geographies rely on AI-assisted development tools every day: code generation, framework migrations, and automated testing.

The Challenge

ZoomInfo's engineering leadership had already made a major bet on AI-assisted development. After a rigorous four-phase evaluation, the company had rolled out GitHub Copilot to over 400 developers, measured a 33% suggestion acceptance rate, and documented 20% time savings across the engineering org. Engineers were also increasingly adopting Claude Code for complex tasks like multi-agent framework migrations. One project used 10 parallel AI coding agents, 2 code review agents, and a dedicated testing agent to migrate an entire frontend codebase.

But as AI tool adoption exploded beyond a single vendor, the Cloud & AI Infrastructure team, led by Arkady Landes, Senior Cloud DevOps Manager, faced a new class of operational challenges:

Fragmented access. Engineers were using GitHub Copilot, Claude Code, and other AI tools through separate provider accounts, with no unified control plane.
No visibility. There was no single view of which teams were using which models, how much they were spending, or what data was flowing through AI APIs.
Governance gaps. With 1,300+ engineers across multiple countries, the team needed role-based access controls, approved model lists, and policy enforcement. Not just per-tool admin panels.
Provider lock-in risk. Tying engineering workflows to a single LLM provider meant vulnerability to outages, pricing changes, and capability gaps.
Scaling complexity. Every new AI tool or model required a separate integration, a separate budget conversation, and a separate security review.

Why Requesty

OpenAI and Anthropic-compatible API

Engineers using Claude Code, GitHub Copilot, and custom agents didn't need to change a single line of code. Requesty acts as a drop-in proxy across both OpenAI and Anthropic API formats, so every AI tool routes through the gateway transparently.

Platform-level RBAC

ZoomInfo could define access policies that cascade from the organization level to individual teams and API keys. Different engineering groups get access to different model sets, budget caps, and rate limits, all managed centrally.

Approved Models & Access Lists

Instead of giving every engineer unrestricted access to every model, ZoomInfo maintains a curated list of approved models. New models go through a review process before being added to the gateway.

No direct provider access

Before Requesty, engineers could hit Anthropic and OpenAI directly with their own keys, with no controls. A single misconfigured agent could drain the account. Now provider credentials are locked inside the gateway. Engineers only ever see a Requesty key.

Unified cost tracking

For the first time, ZoomInfo has a single dashboard showing AI spend across every tool, every team, and every model, enabling data-driven decisions about which tools deliver the most value.

Excellent support

A responsive team that partners closely on rollout, configuration, and scaling, so the platform team is never blocked.

In Their Words

“We've been using Requesty as our Enterprise AI Gateway at ZoomInfo. We've evaluated over 7 different gateways and ended up with Requesty for their enterprise readiness and configurability. Every engineer wanting to access AI at ZoomInfo now has to go through Requesty!”
Arkady Landes
Senior Cloud DevOps Manager, ZoomInfo