LLM Service (LLMaaS)
Access production-ready LLM power on a token basis through a single OpenAI-compatible API endpoint, with no model-hosting hassle.
What you gain
Speeds up integration by eliminating GPU and model service-layer operations.
Keeps costs proportional to usage and predictable with a token-based model.
Enables migration without rewriting the existing codebase thanks to OpenAI compatibility.
What is it?
LLM Service (LLMaaS) delivers open-source large language models through a single OpenAI-compatible API endpoint. Without dealing with model hosting, GPU management or service-layer operations, you access production-ready LLM power with a token-based, pay-as-you-go model.
Core capabilities
- Single OpenAI-compatible API endpoint — works with existing SDKs by changing the base URL
- Token-based, pay-as-you-go pricing; no fixed commitment
- Instant access to ready-to-use open-source models (gpt-oss-120b, qwen3-next-80b, gemma-4-26b)
- Token-by-token streaming for chat and agent scenarios
- Quotas and rate limits at the organization, project and API key level
- Requests processed in Türkiye and auditable usage metrics
Use cases
- Customer support and internal knowledge-assistant chatbots
- Task-executing AI agents and automation flows
- Document summarization, classification and interpretation
- Code assistant and developer productivity flows
- Fast access to enterprise knowledge (RAG) scenarios
Target audience
Product description
LLMaaS (Large Language Model as a Service) is a service model that makes open-source large language models available over an API. With a single OpenAI-compatible endpoint, token-based pricing, streaming output and Türkiye-compliant data residency, it lets teams focus on building products rather than on infrastructure complexity. Multiple open-source models are accessible behind the same API; as volume grows, you can move to dedicated capacity.
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