You sell decisioning, origination, servicing or core banking to regulated lenders. Your agents are great at planning. They are expensive at reading 264 pages per file, a hundred thousand times a month. Hand those steps to tinyAI Labs models and keep the margin.
Repetitive extraction, classification and matching are the bulk of your token spend and the least interesting part of your product. Our models do them on CPU for a flat cost that doesn't move with volume.
Every call to a hosted LLM is a data transfer your customer's CISO has to approve. tinyAI Labs models run next to your service, inside the bank's perimeter. Nothing leaves.
The banks that said no to your cloud AI features are still there, and still buying. Ship the same capability on-prem or air-gapped, without a GPU in sight.
Articles of association, register extract, UBO declaration, three years of financials, a year of bank statements, tax returns, collateral and bureau data. Per-document accuracy, raised to the fifteenth power.
Case-level rate = per-document accuracy to the 15th power, assuming independent errors.
tinyAI Labs models expose standard API contracts and register as tools, so your orchestrator calls them like any other function. The reasoning model keeps the hard calls. The repetitive loops move to deterministic models you can ship inside any environment.
Built for decision engines, LOS and LMS vendors, core banking platforms and servicing software.
License tinyAI Labs models inside your product. Your brand, your UI, our engine underneath. Predictable unit economics, no per-token pass-through.
Take the sovereign deployment option to the banks that need it. We bring the models and the regulatory paperwork, you own the relationship.
One document set from a shared customer, run through tinyAI Labs and your agentic baseline. Accuracy and cost, side by side, in weeks.
Upload your data and the studio lists every entity it can find in the dataset. Pick the outcomes you want, and within minutes you have a model at 95% accuracy after a few epochs. Keep tuning: add fewer than 100 more examples, take training to 10 epochs, and push accuracy further. Nothing leaves your network.
Illustrative run on 247 German Satzungen. Your accuracy depends on your documents.
Higher straight-through rates, fewer files kicked to manual review, flat cost as you grow.