Interfaze provides an OpenAI‑compatible API that delivers a single multimodal large language model capable of processing text, images, audio, video, and generic files with a 1 million token context window and up to 32 k tokens per response. The platform includes configurable safety guardrails across dozens of content categories, pre‑defined task modes for structured outputs, automatic caching, and sandboxed code execution, all accessible through standard AI SDKs such as OpenAI, Vercel AI, and LangChain.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and enterprises building AI applications often face fragmented tooling, limited multimodal support, and restrictive content safety controls, making it difficult to integrate advanced language models that can process text, images, audio, video, and files while maintaining compliance and cost predictability.
Solution
Interfaze offers an OpenAI‑compatible API that delivers a single multimodal large language model capable of handling text, images, audio, video, and generic files. The platform provides a 1‑million token context window and up to 32 k tokens per response, enabling complex, long‑form interactions. Built‑in guardrails let users configure safety filters across dozens of content categories for both text and images. Developers can access the service through any standard AI SDK (OpenAI, Vercel AI, LangChain) by simply changing the base URL, and can invoke pre‑defined “tasks” for faster, cheaper structured outputs. Usage is metered by input and output tokens with transparent pricing, and features like caching, sandboxed code execution, and observability are included to reduce operational overhead.
Target Audience
Primary customers are software developers, AI product teams, and enterprises that need a versatile, high‑capacity multimodal LLM for applications such as OCR, object detection, speech‑to‑text, web scraping, and secure content generation.
Features
- OpenAI API‑compatible endpoint supporting text, image, audio, video, and file modalities
- 1 million token context window and up to 32 k output tokens per request
- Configurable safety guardrails covering 14 text categories and sexual content for images
- Pre‑defined task mode delivering fixed structured outputs with lower latency and cost
- Integrated sandboxed code execution and web scraping capabilities
- Automatic caching of tokenized results at no extra charge
- SDK‑agnostic integration via OpenAI, Vercel AI, or LangChain libraries
- Detailed pre‑context metadata (e.g., OCR bounding boxes, confidence scores) for downstream processing