Experiential Labs
Experiential Labs provides an OpenAI-compatible AI gateway that routes requests to over 950 models from a single API endpoint, with flat-rate subscription plans that eliminate per-token costs for included models. The platform offers caching, budget enforcement, usage attribution, and automatic provider failover, plus optional fine-tuned models trained on customer traffic.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Organizations using AI agents and applications face escalating model costs, fragmented access across multiple providers, and limited visibility into which teams, tools, or agents are driving spend. Managing provider keys, enforcing budgets, and optimizing model selection becomes a manual, error-prone burden as AI usage scales across a company.
Solution
Experiential Labs operates an OpenAI-compatible AI gateway that provides a single endpoint for every major model provider, routing requests at 0% token markup. The platform automatically improves cache hit rates, which brings repeated tokens back at 90% off, and offers optional fine-tuned models trained on a customer's own traffic for a fraction of frontier-model cost. Every request is attributed and tracked in a unified console, showing spend by agent, person, model, or day. The gateway enforces budgets and hard caps on every request, and a prompt-driven setup tab lets users run Claude Code, Cursor, or Codex configurations automatically without code changes.
Target Audience
Primary customers are engineering and AI platform teams at companies that operate AI agents, want centralized governance and cost control, and need flexible access to frontier and open models without provider lock-in.
Features
- Single OpenAI-compatible /v1/chat/completions endpoint routing to 1,143 models across providers including Bedrock, Azure AI Foundry, Fireworks, Modal, Vertex, OpenRouter, and Tencent Cloud
- 0% markup on routed tokens with caching that reduces repeated-token costs by 90% and shows potential savings opportunities
- Optional fine-tuned models trained on customer traffic, proven before serving, reached through the same endpoint
- Usage console with attribution by agent, person, model, or day, plus request logs with route, cost, tokens, and latency
- API key management with per-key budgets and caps by day, week, or month, role-based access, and model allowlists
- Provider resilience with automatic failover across providers and pooled accounts
- Zero Data Retention routing and no-training provider policies enforced at gateway level
- Self-hostable open-source core with hosted gateway option