Akveo adds AI to products and internal processes, from document search to agents that complete multi-step tasks. Our Lithuanian office is at Pieninės g. 14 in Vilnius, where we run AI workshops in person.
Discuss Your AI Idea
We start from the business task and the data you have, then choose the model and architecture that fit them.
A four-week test of one AI use case on your real data, with a clear answer on accuracy and running cost before you commit a larger budget.
Answers drawn from your contracts, manuals, policies, and tickets, with a link to the source so staff can check every reply.
Software that plans and carries out tasks across your tools, such as preparing reports or updating records, with a person approving the important steps.
A chat or copilot feature for your customers that understands your product data and answers in their language.
Data pulled from invoices, forms, and scanned files into your systems, so staff review results instead of typing them in.
AI features you sell to your own customers as a service, with plans, usage limits, and costs tracked per customer.
Assistants and agents built for fintech, manufacturing, and productivity software.
Zero AI hallucination
WealthFluent wanted its users to understand complex financial data in plain language. We built an AI assistant backed by a separate calculation engine, so every number it shows comes from a verified computation. It launched in 6 months.
50% faster data retrieval
Operators of a Factory Intelligence platform used by manufacturers now ask questions about production KPIs, orders, and machine status in natural language. The copilot runs on Azure OpenAI and searches plant documentation and equipment manuals.
3-month MVP delivery
We built a progressive web app with an AI coach, milestone-based task management, and automated reminders. The stack included Next.js, OpenAI, LangGraph, and Supabase.
Data access, running cost, and answer quality decide whether an AI feature reaches production. We plan for all three.
We are based at Pieninės g. 14, Vilnius, and we are happy to run AI discovery workshops there.
Before launch we test the system on real questions from your team, and we keep tracking answer quality after release.
Each request sends a model only the data it needs to answer, and processing can stay in EU cloud regions.
The proof of concept measures what each AI request costs, so the production budget is based on real numbers.
Our 70+ engineers and designers can build the web or mobile app around the AI feature, along with the backend and admin tools.
You own the code, prompts, evaluation sets, and documentation, and you can change model providers later.
Describe the task you want AI to handle. Our team replies within 1 business day with questions and a suggested first step.
