Engineering Software & Applied AI for Industry

Research and development

We continue to develop modular AI workflows, engineering automation and robotics capabilities.

Platforms in development

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.

Product video poster: Platform for architects
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Platform for architects

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.

Product video poster: IntStat
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IntStat

Company intelligence on open data: financial statements, the contracts register and links between companies. Every finding comes with its source.

Robotics research

We are developing and testing robotics capabilities for industrial workflows. The work is currently in research and prototyping.

We do not present it as a production deployment, and we publish demonstrations only when they show systems we have actually built and tested.

Other applied AI work

Our research also includes specialised information systems outside industry. These products are presented separately to keep each domain focused.

How we build software

Today, everyone is automating code writing. We have automated the entire management of development. Everything a good software company does, from planning through code and tests to audit, is handled by our managed team of agents. A human leads the team.

  1. A human leads.

    A human makes the strategic decisions, based on executive summaries and reports.

  2. Every role has its place.

    One model manages and audits, another writes the code, another tests and independently reviews. We choose models by independent benchmarks, not by brand. The right model for every node.

  3. Rules that learn.

    Communication rules, process rules, strict checks, and independent audits in one system that keeps improving. Every lesson becomes a rule.

  4. A chain of checks.

    Every change is checked by someone other than its author. Every release has a prepared way back. Any irreversible step is approved only by a human, for example with a fingerprint.

  5. Multiple systems at once – all under control.

    One accountable expert, acting as the strategic decision-maker, manages the entire ecosystem. Multiple projects run in parallel, and every step has a timestamp, an author, and a status.

  6. Independently checked quality. Leaner orchestration.

    Work that would otherwise need a whole department now runs in one managed system.

    Evidence and validation