
Inttwin and Drawing Intelligence
A modular agentic platform for business operations. Drawing Intelligence is advanced expert analysis of drawings and automated preparation of input data for downstream processes such as costing or production orders.
Engineering Software & Applied AI for Industry
Real software, real outputs and measurable acceptance criteria. No generated screens and no invented results.
Real recordings from our software, using fictional companies or sample data.

A modular agentic platform for business operations. Drawing Intelligence is advanced expert analysis of drawings and automated preparation of input data for downstream processes such as costing or production orders.

From a 3D building model in IFC format and project data, it compiles a technical report section by section from a template, with export to Word. It flags missing data in the model.

We are developing a platform that automates the architect’s work step by step – from the first conversation with the client through the study and specialists to review and submission – and works with 2D drawings as well as the BIM model.
We validate extraction against agreed fields and representative customer drawings. Results that do not meet the configured confidence or validation rules are routed for review.
If we publish an accuracy figure, it states what was measured, on which sample, how many items, which drawing types, which metric, which uncertainty threshold and the test date.
Technical drawings and project data can contain sensitive know-how. We therefore define data handling as part of the deployment – not as a generic promise.
Depending on the solution, processing may combine local components with external services. We aim to minimise the data sent outside the local environment and document the relevant providers, retention and review points for the agreed architecture.
We do not use “100% secure” or “your data never leaves” as blanket claims. Those statements are only appropriate where a specific deployed architecture can actually guarantee them.
Manufacturing and engineering
Inputs for costing and production orders are retyped by hand from technical drawings – dimensions, material, operations and the bill of materials.
Drawing Intelligence reads the drawing and prepares structured inputs. For every value it stores the location on the drawing it came from and flags what is uncertain. It exports the assembly bill of materials to XLSX and JSON.


Every exported item goes to human review: each cell in the file carries a ‘Check’ note and the case is marked ‘review required’ in the application. A process engineer confirms uncertain points.
It does not replace the process engineer or their sign-off. We do not state time savings or accuracy percentages until we have measured them.
Our own operations
The company website did not describe what the company does today: products, ways of working and real examples were missing.
A new website in Slovak and English: 22 pages and 8 product videos made from real interface footage. From project start on 18 October 2026 at 16:48 to publication on 19 October 2026 at 10:09.
A live website in two languages.
Before publication, independent checks covered the approval cards, footage and claims: 10 audits before approval, 5 video deployment checks, 8 footage provenance and anonymity checks and 2 post-deployment checks. After launch – not before it – an independent code review by a different agent than the author, reading a clean copy of the code, found no critical or high-severity issues and three medium-severity ones; two were fixed and verified on the live site the same day, and the third became moot when the related control was removed. Publication and changes were approved by a person by fingerprint (4 times). 44 automated browser tests ran before every deployment. The reviews caught, for example, prototype figures that could have come from real data. The founder caught three further issues the checks had missed, including an illustrative video in place of real footage.
This case describes process and time, not a financial result.
We have fundamentally raised software quality and, at the same time, fundamentally scaled our capacity – by organizing and optimizing communication and context.
These figures describe how we develop software internally. They are not customer results.
In two equal 32-day windows (17 August–17 September and 18 September–19 October 2026), after introducing our managed system we worked across 35 repositories instead of 11 and shipped 1,910 changes instead of 222.
As of 19 October 2026
Since 12 October 2026, independent reviews have caught 47 serious findings (P0–P2) before delivery.
As of 19 October 2026
Since 3 October 2026, a person has approved 96 irreversible steps by fingerprint. An independent auditor checks these cards before they are shown.
As of 19 October 2026, 11:55
Between 18 September and 19 October 2026, our management system recorded 207,294 events, each with a time and an author.
As of 19 October 2026, 11:55
A new two-language company website: from project start on 18 October 2026 at 16:48 to publication on 19 October 2026 at 10:09, including independent checks of every approval card, every piece of footage and every claim before publication.
As of 19 October 2026
Method: figures are deduplicated and counted by scripts without AI, reading our records only. Each figure states its period and as-of date.