Deploy custom AI models to production in minutes instead of weeks, eliminating the technical bottleneck that keeps most small businesses from leveraging proprietary machine learning.
Baseten is a platform that lets you take machine learning models—whether custom-built or open-source like Stable Diffusion—and get them running on the internet without needing a dedicated ML engineering team. You upload your model, Baseten handles the infrastructure, scaling, and API deployment, and your business can immediately start using AI to automate workflows, generate content, or build AI-powered features into your product.
For small business owners who've built or commissioned custom AI solutions, Baseten removes the expensive step of hiring DevOps engineers or renting cloud infrastructure directly. You pay only for what you use, scale automatically when demand spikes, and focus on business logic instead of server management. This is especially valuable for e-commerce businesses running image generation, agencies offering AI services to clients, or SaaS startups embedding AI into their platform.
SaaS startups embedding AI features, digital agencies offering AI services (image generation, copywriting), e-commerce businesses automating product photography or descriptions, developers building AI-powered applications, marketing automation platforms, and any small business that has built or licensed an AI model but lacks in-house infrastructure expertise.
Freemium model with free tier for testing. Paid plans start based on inference volume—typically $0.001–$0.10 per API call depending on model complexity and compute required. No upfront commitment or minimum spend.
A small marketing agency using Baseten to deploy a custom image generation model can launch AI services to clients in days instead of months, immediately monetizing AI capabilities without $50,000+ in infrastructure setup. E-commerce sellers automating product descriptions save 10–15 hours per week in manual writing while improving SEO consistency. Developers avoid hiring dedicated ML engineers (typical cost: $120,000–$180,000 annually) and instead use that budget to scale inference on-demand. Most small businesses see payback within 30–60 days if they're already sitting on a trained model or commissioned AI solution.