Your product works. Now it needs AI features customers will pay for, agents that do real work, integrations and scale. Our team and its agents own the roadmap with you, month by month.
Search that understands questions, document understanding, recommendations, summaries and assistants inside your product.
Single agents and teams of agents that plan, check each other and hand uncertain cases to a person.
Commercial models, open-weight models or privately hosted ones, chosen for quality, cost and where your data may go.
Model routing, caching and evaluation that keep AI costs predictable as usage grows. On VAIOT's legal platform we cut LLM token costs by 38%.
Test sets built from real cases, run on every change, so you know whether the AI got better or worse before your customers do.
Review steps and logs designed in, so every answer can be traced back to its source.
A named lead engineer and one or two engineers, working with their own AI agents, become part of your product team. You agree outcomes for the quarter; we release every week and show what changed. Hosting and care runs underneath.
What should be true in three months: a feature live, a cost down, a customer segment served.
Small, tested releases you can see and try.
Usage, quality and cost of every AI feature, against the outcomes.
Keep what works, drop what doesn't, plan the next quarter.
70% faster legal case processing (48 to 14 hours); 38% lower LLM token costs; 12 weeks from concept to production-ready
A team of AI agents that drafts, reviews and explains legal work, with every answer traceable to its source.
Yes. Often the best setup is our growth team owning the AI parts while your team owns the rest of the product.
By testing them on your real cases for quality, speed and cost, and by where your data is allowed to go.
We measure cost per task from day one, route simple tasks to cheaper models and cache what can be cached.
With test sets built from your real cases, run automatically on every change, plus human review of anything uncertain.
Month to month. You can start with a single month.
