Internal copilots for your operation
Tools your team uses daily that understand the business context. In logistics we built one that resolves status queries and exceptions without going through the coordinator.
We build the system no off-the-shelf product solves: internal copilots, data pipelines and tools that connect to what you already run. Shipping every two weeks, with code that stays yours.
A 45-minute technical call, at no cost, with the person who will build it.
Need to connect AI to the tools you already have? See AI integration
It works because one person knows it by heart. When they go on holiday the process stops and nobody knows which formula broke what.
The rest does not match how you work, so your team patches around it with Excel exports and WhatsApp messages between departments.
One talks about sprints, another about modules, and none says what you will be able to use in month one. Signing on that is a bet.
Tools your team uses daily that understand the business context. In logistics we built one that resolves status queries and exceptions without going through the coordinator.
Processing that runs on its own and flags what needs a human eye. One of our projects classifies suspicious transactions and prioritises the review queue.
When a mistake is expensive, the system proposes and a person approves. That is how the patient triage we built works: no clinical decision leaves without review.
ERP, electronic invoicing, banks, payment gateways and internal APIs. Integrations are quoted separately from the build so you can see what each one weighs.
Internal automation of the development cycle, like the interface documentation generator that runs from source code in one of our projects.
Out of scope: third-party licences, cloud infrastructure costs, migrating historical data older than two years, and ongoing operations support. Each is quoted separately and we tell you what it weighs before you sign.
Both LLM products have a name, a link and screenshots in the portfolio on this site. Yasper is a booking agent that quotes, schedules and holds the deposit inside a chat, on Python, AWS, PostgreSQL and N8N. For Ariel, a legal assistant for Colombian law, we built the initial core and the LLM that answers with verifiable sources, on Python, Azure and PostgreSQL. Each case says which part we built ourselves.
No cost, with the person who will build it. We go through the process, the systems we have to touch and where the real risk sits.
What is in the MVP, what waits, what it integrates with, and what each integration weighs on its own.
Every two weeks something is deployed that you can use. If scope changes, it is requoted before we build.
Documentation, a recorded handover session and a month of support for whatever real use surfaces.
It depends on the scope of the first version and, above all, on what it has to integrate with. Connecting to a tax authority, a bank or an existing ERP is what moves the number most, so we quote those integrations separately and you decide which ones go in now and which ones wait. The price comes out of the 45-minute technical call, in writing and with a date.
Tell us which process you want to solve and how you handle it today. We come back with a scope document and an estimate.
We reply on WhatsApp within 24 hours.