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Cost-effective frontier AI inference with predictable request-based pricing.
Access 35+ frontier AI models including DeepSeek, Kimi, and Llama through a unified OpenAI-compatible API endpoint. Execute requests via a predictable subscription model charging per request rather than calculating complex token counts. Maintain total data privacy with zero data retention, zero logging, and absolute prevention of model training on prompts. Scale production workflows with high-throughput routing, secure failovers, and robust developer tools.
Replaces unpredictable per-token billing with a flat request-based pricing model making infrastructure budgets completely transparent. Offers seamless integration through standard OpenAI-compatible API SDKs requiring zero code refactoring. Provides access to diverse frontier-class open-source models with dedicated high-throughput handling and priority execution tiers. Ensures absolute data privacy with strict no-retention and zero-training guarantees for enterprise security.
Category: AI & Automation
Team Size: 2-10
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Oxlo.ai is a privacy-first AI inference platform that provides access to over 35 open-source and frontier models via a single OpenAI-compatible API. Unlike traditional providers that charge per token, it uses a predictable request-based pricing model where prompt length does not affect costs. Developers can scale applications using models like DeepSeek, Kimi, and Llama without worrying about unexpected usage bills. The platform guarantees strict data privacy with zero training on customer prompts.
Oxlo.ai was built to solve the frustration AI teams face when managing unpredictable inference bills. Recognizing that traditional token-based pricing penalizes long context lengths and deep reasoning tasks, the founders created a request-based infrastructure platform focused on cost clarity, privacy, and performance.
