Simplifying multi-provider LLM integrations with smart routing, automatic fallback, and usage control.
DeepToken was started with a simple vision: remove the complexity of managing multiple AI APIs. As the landscape of LLMs and foundation models grew, developers struggled to handle provider downtime, redundant integrations, and untracked billing.
AI teams shouldn't be locked into one provider or rewrite client code every time they swap models. We built DeepToken so any team can route across providers from a single OpenAI-compatible API, with transparent token billing and platform-grade observability built in.
Today, we serve teams and enterprise developers globally, giving them high-availability fallback logic, deep observability, and self-hosted or cloud billing control over their model usage.
Everything you need to run high-performance AI integrations
One OpenAI-compatible endpoint covering every supported model and provider.
Multi-provider routing with health-aware automatic fallback.
Token-accurate metering with clean cost attribution by key, member, and model.
Multi-member organizations with scoped API keys and shared billing.
Per-request logs, provider health, and a change audit trail.
A curated catalog of frontier and open-source models with unified pricing metadata.
What drives us forward every day
We design every feature around developer experience, offering clean APIs, standard integration paths, and reliable infrastructure.
We prioritize uptime, automatic failover, and exact cost metering to keep your production workloads running smoothly.
We provide full request auditing and granular budget caps, giving your organization complete command over its AI expenditure.
Join developers who are using DeepToken to build high-availability and cost-controlled AI products.