Sales
AI-powered CRM
Customers, quotes, emails and tickets in one place, with an assistant that reads the history, sums up each situation and prepares the next move. It connects to your ERP and production, and a person always makes the decision.
Software house in Varese, Italy
We build AI-powered CRMs, business systems, apps and integrations for companies that have outgrown off-the-shelf products, with code and data designed from day one to work with AI.
What we build
Sales
Customers, quotes, emails and tickets in one place, with an assistant that reads the history, sums up each situation and prepares the next move. It connects to your ERP and production, and a person always makes the decision.
Operations
Orders, warehouse, production, customer and supplier portals. The software follows the way you work, instead of making you change your process to fit a generic product.
On the road and at the desk
iOS and Android apps for people working on the road or on the shop floor. Desktop applications in C#, with the latest Windows libraries, for fixed workstations and PC-connected equipment.
Connections
SAP and other ERPs, third-party business software, Siemens PLCs, legacy databases. We connect what you already have and remove the manual steps between one program and the next.
Any language
We can work with any language. We take over programs written by others, fix them, update them or move them piece by piece to newer technology.
Infrastructure
Go and Rust where speed and volume matter. Docker containers, Kubernetes orchestration, PostgreSQL on Amazon RDS, Redis and round-the-clock monitoring: the software stays up as it grows.
Retyping 20 orders a day by hand, 10 minutes each, is 800 hours a year. That is 100 working days out of 240 that software can do for you.
Each square is one working day, 240 a year at 8 hours each. This is an example: move the sliders to try your own numbers.
What changes
Custom software does not turn your company upside down: it removes what gets done twice today and brings data where it is needed, when it is needed.
Ready for AI
We come from artificial intelligence, and it shows in how we build everything else. An assistant only works well if it finds tidy data and functions it can reach with precise permissions. So every project of ours starts this way, even if the AI will only arrive two years from now.
Try an AI-powered CRM
Demo: companies and data are made up.
Accounts to follow up
Example Engineering Ltd
What the systems say
AI assistant
What is going on
Orders stopped after the late delivery and the latest email is still waiting for a reply.
Next move
Call today and propose a date for the spare parts batch.
The AI proposes, you decide. Every choice stays on record.
Structured records, complete history, documents linked to customers and orders. That is how a model answers from your data and cites the source.
Answers from your documents →Every operation goes through documented APIs, so an AI agent can use it like a user, with the same permissions and a person approving.
AI agents in your systems →Every action stays on record, which helps you understand mistakes and comply with the AI Act. And if data cannot leave the company, models and software run on your own servers.
AI on your own servers →Our own software
GA.IA and UEBB Wearables were built in-house, with the same tools and the same method we use for clients.
Stack and technologies
How we work
From Excel sheets to emails: we understand the process and decide together what has to change.
We build it on a real process, to be tried by the people who will use it every day.
Separate environments for development, testing and production: each block arrives when it is ready.
Round-the-clock monitoring, updates and new features as your work changes.
Frequently asked questions
It depends on how many processes it covers, how many integrations it needs and how many people will use it. UEBB starts with an analysis and prepares a written estimate split into phases: you can begin with one part and decide the rest with the software already in use.
A first version on a real process takes weeks, a complete system a few months. We release in blocks, so the first users work on something real right away and the project corrects itself as it grows.
An off-the-shelf CRM is fine if the way you sell is standard. A custom one pays off if it has to talk to your ERP and production, if you have unusual price lists, if you pay for licences you do not use or if you want an AI assistant on your own data.
It reads emails, orders and tickets, sums up each customer’s situation, flags who is likely to stop buying and drafts replies. In a UEBB CRM every proposal cites the data behind it and stays a proposal: a person always decides.
Yes. We use APIs when they exist, otherwise we work with databases, exchange files or message queues. We connect to SAP, the most common ERPs, third-party business software and Siemens PLCs.
Next.js and Node.js for the web, Python for data and AI, C# for Windows applications, Go and Rust where speed and volume matter. PostgreSQL on Amazon RDS and Redis for data, Docker containers and Kubernetes for production. These are our starting choices, but we work with any language.
Yes. UEBB works with any language, from Java and PHP to C++, JavaScript, Swift and Kotlin. We can fix an existing program, update it or move it piece by piece to newer technology.
We can: round-the-clock monitoring, library and dependency updates, new features as your work changes.
We agree on it at the start of the project. If you ask for it, UEBB is happy to hand over the source code.
No. UEBB is based in Varese and works across the province, from Busto Arsizio to Gallarate and Saronno, as well as in Milan, Turin, Lugano and Zurich. We follow our clients worldwide, as far as Bulgaria: development works well remotely too.
Where to start
Tell us which process wastes the most time. The first consultation is free, and we will tell you frankly whether to build, integrate or buy something ready-made.
Product and technology names on this page are trademarks of their respective owners and indicate the technologies we work with.