Hicap provides a drop-in compatible API layer that routes requests through reserved GPU capacity to offer lower-cost access to major LLMs like Claude Opus and GPT. This service functions as a direct replacement for the OpenAI SDK by simply changing the base URL, enabling immediate savings without code rewriting. Users benefit from consistent performance and significant cost reductions compared to standard pay-as-you-go pricing for high-volume inference workloads.
Funding
Funding not disclosed
Founders
Product
Problem
Accessing leading AI models for enterprise workloads often involves complex provisioning, high inference costs, and potential latency issues. This can lead to significant delays in deployment and suboptimal resource utilization for production-scale AI applications.
Solution
Hicap provides a managed inference platform that offers secure, low-latency access to major AI models, including those from OpenAI, Gemini, and Anthropic. The platform is engineered for enterprise-grade performance, ensuring 99% uptime for scalable, real-time production workloads. By optimizing compute capacity and employing built-in token optimization techniques, Hicap reduces inference costs by up to 25% from the initial API call. Integration is streamlined through a simple API, enabling development teams to deploy AI solutions rapidly without lengthy provisioning processes.
Target Audience
The primary customers are AI-native startups and enterprise development teams requiring scalable, cost-effective, and reliable inference for their AI applications.
Features
- Secure, API-driven access to leading foundation models (OpenAI, Gemini, Anthropic)
- Up to 25% reduction in inference costs through built-in token optimization and reserved compute
- Guaranteed 99% response uptime for low-latency, real-time production workloads
- Flexible, on-demand compute capacity with zero provisioning delay
- REST and gRPC endpoints for rapid integration into existing technology stacks
- Support for both burst workloads and steady inference pipelines
- Enterprise deployment options with dedicated compute for high-volume AI traffic
- Monthly commitment options with the ability to scale capacity up or down