Keln - 2026 Pricing, Features, Reviews & Alternatives

Keln is a cloud-based reliability layer for open-weight AI models, designed for solo engineers, development teams, and enterprise engineering organizations building production applications on open-weight inference. All requests are routed through a single OpenAI-compatible endpoint, requiring only a base URL and API key change to go live, with no SDK migration or infrastructure ownership required. A predictive routing engine scores every request against live provider health signals, including time-to-first-token, throughput, error rate, and quality checks, to anticipate slowdowns before they affect traffic. Mid-stream failover automatically reroutes stalled requests to healthy capacity without interrupting the response stream.

Every provider node is continuously probed against reference weights to detect silent quantization before it serves traffic, and verified capability checks ensure providers support the specific features each request requires. Provider-specific output quirks are resolved into one consistent schema covering tool calls and reasoning fields, and a unified reasoning control interface normalizes reasoning settings across all models regardless of which provider serves the request. Zero data retention is enforced across all providers, with prompts and outputs never stored and routing limited to zero-retention providers only.

Teams manage projects, budgets, and API keys through a centralized dashboard with live spend and usage visibility and per-key budget controls. Billing is pay-per-token with no contract and no minimum commitment, and enterprise contractual SLOs cover both latency and uptime. The platform is compatible with OpenRouter and the Vercel AI SDK, and providers can monetize idle capacity through the platform. Keln targets software development, AI/ML engineering, and technology product teams seeking cost-efficient, high-reliability inference without managing multi-provider infrastructure directly.