TamgaStudio is an AI Gateway that gives developers access to 1,000+ AI models through one OpenAI-compatible API. Route smarter with automatic provider failover, build faster with a single integration, and scale higher with semantic caching that reduces repeated token costs while keeping production applications available.
A unified development layer that makes AI infrastructure simpler, more resilient, and easier to operate.
TamgaStudio provides access to text, image, video, audio, and embedding models through one OpenAI-compatible API. Instead of maintaining a separate integration for every provider, teams use the same client, authentication flow, and shared model catalog. New models can be evaluated faster, while existing applications can move between options without being rewritten.
Each request is directed to an appropriate provider route through smart routing, using availability, cost, and routing priority. If one provider becomes unavailable, automatic failover moves the request to an alternative route. This reduces dependence on a single service and helps production AI applications remain available during traffic spikes, provider incidents, or temporary capacity constraints.
Tamga Semantic Cache detects semantically similar requests and safely reuses suitable responses that were generated before. Fewer unnecessary model calls mean lower latency and reduced repeated token costs. Model usage, pricing, and route information remain visible from one dashboard, allowing developers to focus on the product experience instead of managing infrastructure details.
AI Models
Tokens Processed
Cache Savings
From account to first API call in under 5 minutes.
One endpoint. Every model.
Integrate in 5 minutes, reduce costs, and run AI without interruptions.