GENAI AREDEZ
GENAI AREDEZ · AI engineering applied to business · MMXXVI · Projects ·

Projects

Three real needs. Three ways to turn AI into a working solution.

A wellbeing product built from a business idea, a research and data system, and supported development in an industrial process. Each case shows the problem, decisions, implementation and checks.

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.

Product discoveryIntegrationsEvaluation and controls

Live product · case documented as of October 2026

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Product, operations and engineering Explanatory diagram

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.

AI researchVerifiable dataProduct and analysis

Live system · case documented as of October 2026

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From sources to analysis Explanatory diagram

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.

DiscoveryArchitecture and securitySkills and agentsInternal capability

Supported development and validation · status documented as of October 2026

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Business knowledge becomes an internal capability Explanatory diagram

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.

Workshops and capability transfer

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 →

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.

Discuss your project ↗