Case study on real-world usage of Chat-Mium for setting up and maintaining distributed AI infrastructure.

How We Made Edge Cluster Operations More Efficient with Chat-Mium

Case study on redesigning insurance policy workflows via a moderated sprint and AI-driven assistance.

Use Case Sprint for Collaborative Policy Management

This case study highlights how a moderated AI sprint laid the foundation for underwriting automation.

How a Use Case Sprint Enabled AI Automation in Insurance Underwriting

A SaaS architect's journey to making an existing platform AI-native using Chat-Mium – with zero downtime.

How We Seamlessly Embedded LLMs into an Existing SaaS Architecture

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We develop and operate decentralized AI compute clusters for medium-sized businesses in Germany.This means your AI runs where you need it: on-site. Not hidden in a black-box cloud. Our platform “mium” makes AI immediately usable – whether for text, images, sensors, or robotics. Simple, scalable, and GDPR-compliant.

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DOS enables a smart contract catalog embedded with NLP capabilities to ensure that contracts do not have the fate of becoming yet another unmanageable data asset. The contract catalog is an ideal enabler of the data mesh ideology since it pragmatically distributes ownership across the organization’s structure.

Contract Catalogs

Implementing Design Architectures with DOS: Data Mesh

Is available as a standard asset across cross-functional, regional, and multi-cloud environments.

Is seamlessly searchable across heterogeneous source systems, resources, pipelines, and activation endpoints.

Data assets, processes, and components easily talk to each other through common interfaces or languages.

Language, format, personnel, and system-agnostic accessibility.

Governance through access and masking policies, attribute-based access control, encryption capabilities, and row and column-level security controls.

Meets quality expectations, compliant with required standards, and is laced with end-to-end lineage and provenance particulars.

A complete and independent entity that could directly impact business decisions.

Execution across distributed systems is orchestrated through the resource orchestrator in the central control plane. It manages all DOS primitives, especially through consistent interaction with workflows, services, clusters, and compute primitives.

Writing transformation jobs can be complex and requires special expertise. DOS abstracts this complexity with intuitive wrappers through which users only need to declare the input, output, and output configs. The actual transformation jobs are self-built and executed at a low level in sync with contractual expectations defined for ingested data on the production side.

Transformation

DOS supports common SQL interfaces that can penetrate across heterogeneous source systems and query data as if from a single data source. There is no data movement involved in this entire transaction, and governance policies are applied on the fly as data is queried from across multiple sources. Each model query is optimised for the grammar of the source system it queries to achieve high query performance and minimize query expense.

Federated queries

DOS supports out-of-the-box stacks for processing stream events declaratively. These stacks enable stateless extraction and transformation of streaming data on the fly with no dependencies on runtime or payload. Streaming services are also centrally orchestrated and governed.

Streaming data and Complex Event Processing

DOS takes care of ingestion through the depot construct and governs entry points through the secrets.

Ingestion

Storage

Self-Serve Data Infrastructure Platform:

A semantic data model can be considered a decision product (a unit used to power decisions with data). Users have complete flexibility to use any type of decision product in the logical layer or on top of it. Semantic models are typically owned by business users who work directly with business use cases. They leverage cross-functional data generated and curated by domain and developer teams.

Semantic Data Models

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Use case sprints help CFOs test AI value before committing big budgets. Here's how.

Why CFOs Prefer AI Pilots with Fast ROI

Discover how Chat-Mium streamlines setup, monitoring, and issue handling in distributed AI clusters.

How Chat-Mium Supports Edge Cluster Technicians

Explore how Chat-Mium speeds up AI discovery workshops and early-stage prototyping with agents and context tools.

From Idea to Prototype – Faster with Chat-Mium

Explore how robots relieve teams from physical strain, reduce errors, and scale 24/7 productivity.

How Operations Leaders Boost Safety with Robotics

Explore how robots reduce risk, save cost, and protect workforce capacity – with measurable ROI.

Why CFOs Are Investing in Robots for Repetitive Work

See how robotics integrators use Chat-Mium and agents to streamline complex deployments.

Why Chat-Mium is a Game-Changer for Robotics Integration

Discover how modern CFOs leverage ROI calculators to evaluate AI initiatives.

How CFOs Use AI to Justify Budget Decisions

Explore how cloud-based AI tools help operations leaders improve workflows and reduce repetitive workload fast.

How Operations Leaders Drive Efficiency with SaaS AI

Discover why SaaS AI tools offer cost efficiency, fast rollout and minimal IT dependencies.

How CFOs Scale Smart with Cloud-Based AI

Learn how SaaS architects use Chat-Mium to streamline AI workflows, API integration, and prompt orchestration.

How Chat-Mium Accelerates SaaS AI Integration

Discover how Chat-Mium helps structure, capture and accelerate your AI use case sprints.

Running a Use Case Sprint with Chat-Mium

Explore how Chat-Mium empowers consultants with LLMs, agents, and project structure in one interface.

Falktron GmbH makes AI accessible and valuable for companies

01

Adaptive Feedback Loop – Vision for SMEs

A Company With Experience In The Field Of AI-Supported Automation

What’s New

Why CFOs Prefer AI Pilots with Fast ROI

How Chat-Mium Supports Edge Cluster Technicians

From Idea to Prototype – Faster with Chat-Mium

Unlock AI-powered growth with mium.chat

Smarter, Faster, More Efficient – Your AI Companion Awaits!

Count on clear answers from real experts.

Falktron GmbH makes AI accessible and valuable for companies

01

Adaptive Feedback Loop – Vision for SMEs

What we do

Our Mission

Why Choose Falktron GmbH?

A Company With Experience In The Field Of AI-Supported Automation

What’s New

Why CFOs Prefer AI Pilots with Fast ROI

How Chat-Mium Supports Edge Cluster Technicians

From Idea to Prototype – Faster with Chat-Mium

Unlock AI-powered growth with mium.chat

Smarter, Faster, More Efficient – Your AI Companion Awaits!

Count on clear answers from real experts.

01How exactly can AI help my business?

02Do I need technical skills to use mium.chat?

03Can I try mium.chat before committing?

04How can I book a consultation or workshop?