01 · Data and artificial intelligence
Big data & analytics
We bring together and clean the data you have scattered, and turn it into information you can decide on, not just report on.
Explore the serviceData and artificial intelligence
AI that answers with your company's data, not with what it made up
Most enterprise AI sold today knows nothing about your business. Ours connects to your systems, answers with verified information from your operation, and can take action inside it.
Generic AI gives answers nobody can use
An assistant that does not know your inventory, your receivables or your processes replies in generalities. To be useful it must be able to query the system where the information lives, and to be worthwhile it must be able to act on it.
What we build
Natural language queries
Ask about stock, receivables or sales in your own words and get an answer from the real system.
Process agents
Assistants that execute tasks inside your operation: generating orders, sending notifications, reconciling documents and detecting anomalies.
Document analysis
Reading and classifying invoices, contracts and documents, extracting the relevant information and making it searchable and reportable.
Private deployment
Models run on your infrastructure or in a private environment, so your company information never leaves your control.
How we do it
- 01
Identifying the use case
We pick a concrete, measurable case. AI that works is AI that solves a defined problem, not AI that demonstrates capabilities.
- 02
Connecting the sources
We give it secure access to the systems holding the information it needs, with permissions respected.
- 03
Building and validating
We develop the agent and test it with real cases, verifying answers are correct before letting it operate.
- 04
Deployment and improvement
We put it in production with a log of everything it does, and tune it against real usage.
What changes in your operation
- Questions about your operation answered in seconds, without requesting a report.
- Operational tasks executed automatically, with a record of what was done.
- Your company information processed without leaving your infrastructure.
Technologies
- Python
- Private LLMs
- Vector databases
- n8n
- REST APIs
Frequently asked questions
What they usually ask before we start
Do I need to pay for ChatGPT or OpenAI?
Not necessarily. There are models that run on your own infrastructure, and we use them when your information cannot leave your control. The choice depends on how sensitive the data is and how many queries you serve.
How reliable is it?
A language model can be wrong, and we say so plainly. That is why design matters more than the model: the agent queries verifiable sources, shows where each answer came from, and requires confirmation for any action that modifies data.
Where do we start?
With one concrete, bounded use case whose result can be measured. That demonstrates value, builds trust, and avoids a large investment with a vague outcome.
Tell us what you need to solve
AI that queries your real data and acts inside your operation: answers questions, spots anomalies and runs tasks, using your company's information.