Haimaker provides a single OpenAI‑compatible API that aggregates over 170 large language and multimodal models from 17 providers, letting developers access chat, completions, embeddings, image, audio, and moderation capabilities through one endpoint. The platform offers both shared and dedicated single‑tenant GPU deployments with guaranteed low latency, no cold starts, and compliance certifications, simplifying integration, scaling, and cost predictability for AI‑focused applications.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and enterprises must integrate multiple AI models from different providers, each with its own API, authentication, and response format, leading to increased development overhead and operational complexity. Switching between models or scaling workloads often introduces latency variability, cold-start delays, and unpredictable costs.
Solution
Haimaker offers a unified, OpenAI‑compatible API that aggregates over 170 large language and multimodal models from 17 providers into a single endpoint. By standardizing request and response structures, it eliminates the need to rewrite code for each model and simplifies routing, error handling, and streaming. The platform supports a full suite of endpoints—including chat, completions, embeddings, image generation, audio transcription, speech synthesis, moderation, and reranking—allowing developers to access diverse capabilities through one interface. For high‑throughput or regulated use cases, Haimaker provides dedicated single‑tenant GPU deployments with guaranteed P99 latency, no noisy neighbors, and compliance certifications, while still offering the shared‑endpoint option for flexible, per‑token pricing.
Target Audience
Primary customers are software developers, AI product teams, and enterprises that need to integrate multiple AI models efficiently, as well as regulated industries requiring dedicated, compliant inference infrastructure.
Features
- OpenAI‑compatible request/response format across 170+ LLMs and multimodal models
- Automatic model routing and selection with consistent API behavior
- Support for chat, text completions, embeddings, image generation, audio transcription, speech synthesis, moderation, and reranking
- Real‑time streaming responses via a simple `stream=true` flag
- Dedicated single‑tenant GPU endpoints with SLA‑backed P99 latency, no cold starts, and region‑locked compliance (HIPAA, SOC 2)
- Ability to deploy custom or fine‑tuned models from Hugging Face or private registries on dedicated hardware
- Predictable per‑GPU‑hour pricing for sustained high‑volume workloads