An idea that needs to become a product
Definition, development and integration of experience, data and services.
AI engineering applied to business
We design and implement artificial intelligence systems for businesses.
Your team knows the business. We work with you to understand the need, define the technical solution and build it: from an assistant for a specific task to a product or a system integrated into your operations.
Information that needs to become decisions
Research and analysis with sources that can be reviewed.
A process that needs new tools
Assistants and integrations adapted to the team's work.
Strahlkraft40+Digital productDespegueData intelligenceGerman industrial businessAI and leadership development
01 / Projects
Different needs. Systems built with business judgement.
Each project starts by understanding what needs to change and who will use it. These cases show how we turn that need into products, data and tools.
01 / Digital product · Health and wellbeing · Germany
Strahlkraft40+
A market opportunity turned into an AI product.
Strahlkraft40+ began with a market opportunity in women's wellbeing. We defined the product with its co-founder and built a platform with an AI assistant, content, payments and operational tools.
Live product · case documented as of October 2026
Explore the project →Business vision + joint product definition
01User-facing product
- Portal and content
- Assistant and memory
- Payments and access
- Data protection
02Operations tools
- Knowledge and creation
- Channels and services
- Review and measurement
03Engineering and controls
- AI evaluation
- Change workflow
↺ Review feeds back into instructions, filters, skills and tests.
02 / Data intelligence · Investment and suppliers · Argentina
Despegue
From scattered information to useful business intelligence.
We designed and built a system researching investments and supplier needs, structuring evidence into browsable records and analysis.
Live system · case documented as of October 2026
Explore the project →Need: understand supplier opportunities
01Research and structure
- Identified sources
- Data model
02Cross-check and correct
- Research and refutation
- Human review
03Publish and reuse
- Data with provenance
- Company analysis
↺ Refuted data is recorded and checked for recurrence.
03 / AI and leadership development · Business processes · Germany
German industrial business
A business leader who builds and directs his own AI systems.
A leader at a German industrial group wanted to solve reporting and learn to build his own solutions. We worked on his real process: architecture, data, security, automation and evaluation. He now creates skills, directs agents and develops new projects.
Supported development and validation · status documented as of October 2026
Explore the project →A real problem + an owner who learns by building
01Understand and protect
- Process and criteria
- Working foundation
02Build and test
- Skills and automation
- Agents and controls
03Direct and extend
- Own judgement
- Next project
↺ Tests improve the system; learning enables the next project.
02 / How we work
Understand the business. Build the solution. Test it against real work.
- Discovery
A defined problem
Needs, users, data, constraints and decision criteria.
- Design
A bounded solution
Architecture, integrations, scope and responsibilities.
- Development and evaluation
A testable system
Tools, tests and review on representative cases and inputs designed to expose failures.
- Adoption and transfer
People who direct it
Documentation, applied training and a way to correct and continue.
↺ Evaluation and your team's participation run throughout the work. A test can change the design; a newly discovered need can change scope.
How we work →03 / Workshops and capability transfer
Understand the problem. Build the solution. Learn to direct it.
From a discovery session to a guided building programme. We work on real problems so leaders and teams learn to build, evaluate and direct their own AI solutions.
Workshops and capability transfer →A defined problem
Needs, users, data, constraints and decision criteria.
People who direct it
Documentation, applied training and a way to correct and continue.
German industrial business →04 / What we do
We also build AI assistants for specific tasks.
We define the work the assistant must do, the information it needs, how responses are checked and when a person must intervene. It can be a tool for a specific task or part of a wider system.
- 01
Need
User, task and intended outcome.
- 02
Context
Sources, instructions and tool access.
- 03
Checks
Test cases, boundaries and corrections.
- 04
Use
Review, training and continuity.
Discuss your project
Start with the problem you want to solve.
Tell us what you need to build or improve. Technical work starts with understanding your operations.