Insights, not charts
The patterns nobody put in a report, turned into a short list of what to do first.
About
We go deep into your data to uncover hidden patterns, correlations, and the dependencies that drive your numbers.
Insight
The structure behind your results: which costs move with which volumes, where margin leaks, what really predicts churn or downtime. We separate genuine relationships from coincidence and bring back the few findings worth acting on.
Antifragile models
Models that expect the world to move: a price shock, a supplier outage, a bad quarter. Built on how your business has actually behaved, scored against what happened next, and better for every surprise they survive.
Automation
The Monday report nobody has to assemble, the margin figure that finally matches in finance and sales, the pipeline that ran before anyone arrived. Repeatable reports and one agreed set of numbers, kept running without anyone having to remember.
What you get.
One source of truth
Your numbers reconciled across every system, and the repeatable reports generated automatically, every time.
Estimates you can defend
A number, a range, and the probability. For pricing, capacity, and investment decisions.
Agents, with you in charge
RAG agents fluent in your sector and your company, agentic automation where a script isn't enough, and coding assistants for colleagues who don't code.
What we do
What we bring.
Analytics
Large-scale data analytics
Millions of rows across ERP, CRM, spreadsheets, and sensors, read as one picture and searched for what the reports miss.
Automation
AI agents & RAG assistants
Agents that understand how your industry and your business work, answer from your own documents, and act inside your systems. Decision support, not decision replacement.
Analytics
Antifragile models
Probabilistic systems built on statistics and events that actually repeat: production cycles, price moves, geopolitics, the calendar. Your own forecasting system, built and evaluated end to end.
Automation
Automation & coding assistant
Repeatable reports and data pipelines that run on their own, plus coding assistants that turn a plain-English request into working code. In practice: non-technical teams building their own automations.
Case study
Automation, written by the people who need it.
A coding assistant built for one goal: letting non-technical users automate their own repetitive work. They describe the task in plain language and get a working Python or pandas script back.
The result is automation that lives where the knowledge is, without a queue to IT and without anyone pretending to be a developer. The scripts stay in the company, readable and reusable, and a person still decides what runs.
Who
Non-technical users with no programming background.
What
A coding assistant that writes the script from a plain-language request.
Outcome
Their repetitive tasks, automated by themselves, without a ticket to IT.
What do you need to understand first?
Tell us the question your current reports can't answer. We reply within one business day with a first step: a short analysis on your own data, before you commit to anything bigger.