Product development at blumatix:
innovation with structure

We provide insights into the current development areas of our AI systems. The focus lies on RAG architectures, AI agent engineering, and integrability for enterprise environments.

Insight over buzzwords

What we are currently developing

At blumatix, product development means the structured evolution of existing AI systems under real integration and operating conditions. New capabilities are not added in isolation, but evaluated within the context of architecture, data logic, and interfaces.

The focus is on integrability, stability in continuous operation, and regulatory compatibility. Every extension must integrate into existing ERP and IT landscapes and remain controllable.

AI product development at blumatix means:

clearly defined system boundaries, traceable data flows, operational stability, and integrated security and compliance structures.Klare Systemgrenzen, nachvollziehbare Datenflüsse, Stabilität im Betrieb sowie integrierte Sicherheits- und Compliance-Strukturen.

From functionality to functioning processes

How our architecture shapes product development

At blumatix, new capabilities are never developed in isolation, but always as part of a functioning process. With bluSTACK, we build within a system architecture where processes are already defined, executable, and integrable. This has a direct impact on product development.

A new capability is not treated as a standalone feature, but as a concrete processing step within a process. It must interact with existing components, such as classification, extraction, validation, or handover to downstream systems.

At the same time, every extension is developed under real conditions. This includes access to real data sources, clearly defined rules for permissible decisions, and defined interfaces to existing systems. Edge cases are also considered. Processes are not designed only for ideal scenarios, but built to remain verifiable, correctable, and optimizable.

The result is not isolated AI features, but robust extensions within a system that works in production.

Development within an ecosystem

Joint development with partners

Integrability is not an afterthought. That is why we align architecture, interfaces, and integration logic early on with ERP and technology partners. New capabilities are not only developed technically, but embedded cleanly within real platform environments.

We collaborate closely to ensure that integration, operation, and security work together.

Partnership as a development path

Tailored solutions.
Let’s talk!

Do you want to integrate AI capabilities into your system? Then let’s discuss concrete scenarios, interfaces, and system boundaries! At blumatix, the focus is not on individual custom development, but on aligned integration within a stable product architecture.

Portrait Martin Loiperdinger

Let’s talk about
a partnership!

Explore our partner solutions

AI creates value within an ecosystem. Discover existing integrations, joint use cases, and extension possibilities for ERP and platform providers.

From strategy to product

Learn how we translate strategic assessment, scientific collaboration, and FFG funding into market-ready AI systems.

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Keeping up with the times

Context instead of hype. Relevant developments surrounding AI, security issues, and document-based processes.

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Frequently asked questions

about AI product development

AI product development describes the structured evolution of AI systems under real integration and operating conditions. It includes architecture, data logic, agent orchestration, and security requirements.

AI agent engineering refers to the development of orchestrated AI agents with clearly defined roles, rule mechanisms, and integration interfaces. The goal is controlled process execution rather than isolated model usage.

A RAG architecture combines language models with a referenceable database. Information is retrieved in a targeted way and processed contextually, rather than being generated purely from the model.

Integration is achieved through defined interfaces and documented system boundaries. AI agents access data in a structured way and pass results to ERP or domain systems based on defined rules.

Development is carried out within an ISO 27001-compliant information security management system. Data protection, access control, and monitoring are integral parts of the system architecture.

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