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Occasional, engineering-led notes on applied AI — what we're building, running, and learning in production.
Occasional, engineering-led notes on applied AI — what we're building, running, and learning in production.
We host chat, image generation, and embedding models on hardware we own — self-serve through an OpenAI-compatible API. Try it live, no signup.
Not sure where to start? Try one of these:
Start with an API key, or bring us the system you want built. Both paths use the same production-minded engineering approach.
Done for you
Done-for-you AI engineered into your business — intelligent ERPs, AI-driven sites and portals, vision pipelines, and automation. Scoped, fixed-bid engagements from $50,000.
Engagements from $50,000
Start a ConversationFlagship
Chat, image generation, and embeddings behind one metered, OpenAI-compatible API with scoped keys and usage-based credits.
Free to start, plans from $19/month
Explore the AI APIWhat you get when the team serving the models is the team building your system.
Vision, language, and embedding models run entirely on Webanto infrastructure — never routed through a third-party AI provider.
Metered, rate-limited, failover-pooled serving — engineered to be depended on, not demoed.
Inference runs on hardware we operate. Prompts and payloads aren't shipped off to a third-party model vendor.
You talk to the people who build and run the systems — from the first scoping call to production support.
Automation, data flywheels, and AI features that keep improving with use — systems that earn more over time.
From model serving to the web apps, ERPs, and storefronts around it — one team ships the whole thing.
Start with a concrete pattern: the model, endpoint, setup sequence, operating limits, and credit cost are already mapped out.
Shoppers can find items using a reference photo instead of guessing keywords, which is a documented driver of visual-search adoption in ecommerce generally.
Line items, totals, dates and vendor details pulled into JSON without manual retyping.
Answers grounded in your actual documentation, with the source page cited alongside each response, rather than the model inventing plausible-sounding but wrong information.
Every inbound ticket gets a consistent intent, urgency and topic label without a human triaging the queue first.
Tell us what you want automated and we'll tell you, honestly, what it takes — or grab an API key and start building tonight.