Ironlane cuts AI costs by up to 70% using open-source models and production-ready infrastructure, without weeks of DevOps work.
Current Status
We are currently deployed the MVP and onboarding early pilot partners.
We also conducted 40+ customer development interviews with AI startups, CTOs, and software agencies.
Problem or Opportunity
Cheaper and flexible open-source AI models are hard to deploy and manage. AI infrastructure is still complex, unreliable, and expensive.
Teams face unpredictable costs, provider outages, vendor lock-in, and spend significant engineering time on ML DevOps instead of building products.
Solution (product or service)
Ironlane is an AI infrastructure platform that provides production-ready access to open-source AI models through a simple API. We offer model routing, fallback systems, transparent pricing, budget controls, and infrastructure portability across providers and clouds.
Business model
Ironlane operates on a usage-based model with per-token AI inference pricing, subscription plans for advanced features, and enterprise contracts. Our initial focus is AI startups and software development agencies building AI products.
