Mixlayer

Mixlayer provides a managed inference platform for open‑source large language models, offering OpenAI‑compatible REST APIs that let developers access models such as Qwen, DeepSeek, and Moonshot without provisioning GPU infrastructure. The service auto‑scales compute resources, handles model updates, and charges on a pay‑as‑you‑go basis per minute of compute, with a web console for model selection, usage monitoring, and security controls.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises and developers often face high operational overhead and cost when deploying the latest open‑source large language models (LLMs). Existing cloud providers may lack native support for these models or require custom integration, limiting rapid experimentation and scaling.

Solution

Mixlayer delivers a managed inference platform that hosts a catalog of up‑to‑date open‑source LLMs and exposes them through OpenAI‑compatible REST APIs. Users obtain an API key, select a model (e.g., Qwen, DeepSeek, Moonshot), and invoke inference without provisioning GPU clusters or handling model updates. The service automatically scales compute resources to match request volume, ensuring low latency and high availability. Pricing is metered per minute of compute and per month of usage, allowing customers to align costs with actual workload. Comprehensive documentation and a web console simplify model selection, quota management, and monitoring. By abstracting infrastructure and offering a standardized API surface, Mixlayer enables developers to integrate advanced language capabilities directly into their applications.

Target Audience

The primary customers are software developers, SaaS product teams, and enterprise AI groups that need ready‑to‑use, high‑performance inference for open‑source LLMs without managing underlying infrastructure.

Features

OpenAI‑compatible API endpoints for seamless integration with existing tooling and SDKs
Hosted versions of leading open‑source LLMs (Qwen 3.5 series, DeepSeek‑v3.2, Moonshot Kimi‑k2.5) with automatic updates
Pay‑as‑you‑go metered billing (per‑minute and per‑month rates) and transparent usage dashboards
Auto‑scaling GPU fleet that handles burst traffic while maintaining SLA‑grade latency
Web console for model catalog browsing, API key management, and real‑time usage analytics
End‑to‑end TLS encryption and role‑based access controls to meet enterprise security requirements
Detailed developer documentation, code samples, and SDKs for rapid onboarding