Qorebit is an AI gateway platform that unifies access to 300+ AI models through a single OpenAI-compatible API, simplifying integration and management for development teams. It provides real-time token and spend metering, hard budget caps, role-based access control, and immutable audit trails to help enterprises govern AI usage. The platform offers Zero Data Retention by default and never trains on customer prompts, ensuring data privacy across all supported providers.
Funding
Funding not disclosed
Founders
Product
Problem
Developers waste significant time integrating multiple AI provider APIs, managing distinct rate limits, and handling unpredictable downtime, while finance teams struggle to track spending across dozens of separate billing accounts. This fragmented infrastructure creates unpredictable costs, duplicate subscriptions, complex fallback logic, and no central audit trail for enterprise security.
Solution
Qorebit provides a unified AI gateway that connects applications to 300+ AI models from providers like OpenAI, Anthropic, Google, Llama, DeepSeek, and Grok through a single OpenAI-compatible API key. The platform handles routing, fallback logic, and rate limiting so developers can switch models without rewriting code. Teams manage all usage through one pay-as-you-go wallet with real-time token and spend metering, hard and soft budget caps, and granular usage attribution. Enterprise features include multi-tenant RBAC workspaces, immutable audit trails, and policy controls for model access and restrictions, all backed by Zero Data Retention by default.
Target Audience
Primary customers are engineering teams building AI applications, coding agents, and chatbots, as well as enterprise IT and finance leaders who need centralized governance, budget controls, and security compliance across their organization's AI usage.
Features
- Single endpoint supporting 300+ AI models from multiple providers with automatic fallback and smart routing
- Real-time metering of token volume, unit costs, and user email attribution for every API call
- Hard and soft budget caps with policy-based model access and restriction controls
- Immutable audit trails tracking API key generation, budget modifications, and administrative actions
- Multi-tenant RBAC workspaces with role-based access for enterprise teams
- Zero Data Retention by default with no ML training on customer prompts or completions
- SOC-2 alignment with TLS 1.3 encryption in transit and AES-256 encryption at rest