The Co-Intelligence Company.

Our offering in 2026

• 01

  Estimate, plan, deliver, coach

  Software, AI and cloud projects

• 02

  Delivered in a single day

  Your first enterprise AI

• 03

  AI + BI + UI

  AI for your data and applications — this very week

• 04

  Fast analysis and drafting of

  Tender documents, contracts, proposals

• 05

  Tailored solutions for your sector

  Energy, finance, industry, healthcare and education

• 06

  RegTech and compliance solutions

  IT, OT and cyber security, and data protection

• 07

  Solutions for the automotive industry

  ASPICE, TISAX, KGAS, ISO 21434, ISO 26262

• 08

  AI and BI integration and infrastructure

  Microsoft SharePoint, Teams, Power Platform and Azure

• 09

  Fast and secure integration of

  AI assistants into classic and legacy applications

Interesting cases from our practice

Every solution was delivered in weeks, not in years.

• How we help automotive companies cope with enormous amounts of documentation

  A company in the automotive industry ran a solid PLM solution with thousands of linked documents and records to manage traceability, baselines and variants. Yet for all that thorough documentation, finding answers to questions from customers and partners — and guaranteeing complete, high-quality delivery and support — was extremely hard. There was simply too much documentation. At least for people.

  We proposed integrating the PLM solution with AI-based knowledge management, running the LLMs locally to keep the information confidential. The sheer volume of data called for serious server capacity, but the results made the case: software, systems and quality engineers now ask their questions in a chat and get comprehensive answers with references, hyperlinks and document excerpts. Within seconds they have information that used to take days to track down — and even then was never guaranteed.

• How we improve self-service for the customers of a software company

  A software company used Atlassian Jira and Confluence to run its internal processes as well as customer cases and user documentation. Predictably, end users preferred to call support rather than read the documentation or check ticket updates in Jira themselves. That in turn put a considerable, and often counterproductive, load on the support team.

  We proposed a customer assistant that answers questions directly. “Why is option A disabled?” — here is the explanation, with a reference into the documentation. It is far more efficient for the users and for the support team alike: most of the typical questions are answered on the spot, and people can concentrate on what genuinely deserves human attention.

• Are all consultants the same? How we reshape the client experience for a consultancy

  What is the output of a consultancy that runs analyses for its clients? Right — presentations. Documents. Excel sheets. Perfectly normal. But is that really what the clients enjoy working through? Not really.

  What if we built something where the clients could ask questions directly — about the results of the analysis, about the methodology, about the terminology — and get relevant background information from the web on top of it?

  That is exactly what we did — and the clients experienced a whole new level of consulting products.

• More clarity in project management — this is how we got there

  When software projects lose their shape, we bring structure into them. Several companies came to us with much the same problem: many projects, many customers, many tools — Jira, Confluence, Microsoft Project Server. And nobody could say off the top of their head: what has to be delivered, when and to whom? What is the status? Who is behind, and where is everything running smoothly?

  Our first step was always the same: put things in order on paper, not in the tool. Because if every project is run differently, no system in the world will help. We defined a common basis — the core questions every project manager has to be able to answer. Only then did we structure the tools to support exactly that.

  In the end what counted was not the tools themselves, but that the right information was available, consistent and comparable — in dashboards, reports or management overviews. That is how many separate views became one clear picture: how are our projects doing — today, not at some point.

• AI solutions for managing tenders, RFIs and RFPs efficiently

  Tenders, RFIs and RFPs — public or private — are everywhere, but never in one place or in one format. We built a solution that searches the relevant websites and extracts data from user interfaces as well as from APIs, using tools such as Playwright, SOAP UI and Postman.

  Once extracted, the material goes through our AI-driven analysis engine, which not only filters out the relevant opportunities but also explains why something was included or excluded. For the promising tenders we go into detail: we check what is available in our portfolio right away, what is missing, and what matters in the small print — conditions, deadlines, contract clauses.

  And not least, the AI answering module helps to fill in the questionnaires — often hundreds of questions — in minutes instead of days.