AI · Web systems · Software development
Software that holds up in production.
We turn ideas into reliable web, app, and AI systems your team can depend on long term.
With clear architecture, measurable releases, and a partner who takes ownership, not just tickets.
AI workflows
Full-stack development
Web scraping
Hosting
Proof
Use cases from the field
Problem, solution, outcome, and tech stack: how we deliver, not just in theory.
- E-commerce
Shop portals with 1.5M products
- Problem
- Scalable product and search architecture without performance collapse.
- Lösung
- Pipeline for catalog, filters, and search with reliable DB paths and CI/CD.
- Ergebnis
- Stable search and maintainability as the catalog grows.
- Techstack
- PostgreSQL, Redis, Node.js, Python, CI/CD
- Consulting
AI enablement in the enterprise
- Problem
- Teams needed practical AI workflows instead of isolated pilots.
- Lösung
- Workshops, architecture, and delivery along real in-house use cases.
- Ergebnis
- Measurable value and transferable patterns for internal teams.
- Techstack
- Claude, OpenAI, n8n, Python
- Knowledge management
GraphRAG / knowledge base
- Problem
- Knowledge spread across systems, answers without source attribution.
- Lösung
- Knowledge graph with RAG pipeline, evals, and traceable answers.
- Ergebnis
- Faster research with auditable sources.
- Techstack
- Python, PostgreSQL, Huggingface, Ollama
- Automation
n8n and Make workflows
- Problem
- Manual processes between CRM, ERP, and communication tools.
- Lösung
- Agentic workflows with approvals, logging, and error paths.
- Ergebnis
- Fewer manual steps, clear accountability.
- Techstack
- n8n, Make, Python, PostgreSQL
- AI
Chatbots with evals
- Problem
- Hallucinations, diluted knowledge base, and unclear security.
- Lösung
- Vector deployment, red-team tests, and monitoring at AI interfaces.
- Ergebnis
- Reliable answers with measurable quality.
- Techstack
- OpenAI, Portkey, Sentry, Python
- Venture capital
Venture-Diligence.com
- Problem
- Confidential deal flow does not belong in consumer chatbots with uncontrolled data paths; pitch deck analysis takes too long.
- Lösung
- Multi-stage AI pipeline: pitch deck, website, market and team data into structured investment memos with sources and gap notes.
- Ergebnis
- Faster from deck to memo, auditable workflow instead of chat history, hosting in Germany.
- Techstack
- TypeScript, Next.js, OpenAI API, PostgreSQL
- Software production
ASPS.ai
- Problem
- From idea to requirements spec, statement of work, and prototype creates media breaks and long discovery phases.
- Lösung
- End-to-end pipeline: unstructured input to specification, clickable prototype, and AI-assisted delivery with code review and CI/CD.
- Ergebnis
- First quote and prototype in minutes instead of weeks of manual prep.
- Techstack
- TypeScript, CI/CD
- Public sector
Civil protection: web and prototyping
- Problem
- Emergency services and municipalities without in-house development: staff work is rarely trained in a structured way; scenario exercises and source-based emergency research lack a digital standard.
- Lösung
- Interactive prototype with training modules, crisis scenarios, and AI-assisted research with source attribution: tangible, alignable, and plannable for the intended platform, not a finished rollout.
- Ergebnis
- Professional external presence, traceable skills development, and a solid basis for THW and fire service cooperation.
- Techstack
- ASPS.ai, Claude Code, HTML prototype
- E-commerce
Shop portals with 1.5M products
- Problem
- Scalable product and search architecture without performance collapse.
- Lösung
- Pipeline for catalog, filters, and search with reliable DB paths and CI/CD.
- Ergebnis
- Stable search and maintainability as the catalog grows.
- Techstack
- PostgreSQL, Redis, Node.js, Python, CI/CD
- Consulting
AI enablement in the enterprise
- Problem
- Teams needed practical AI workflows instead of isolated pilots.
- Lösung
- Workshops, architecture, and delivery along real in-house use cases.
- Ergebnis
- Measurable value and transferable patterns for internal teams.
- Techstack
- Claude, OpenAI, n8n, Python
- Knowledge management
GraphRAG / knowledge base
- Problem
- Knowledge spread across systems, answers without source attribution.
- Lösung
- Knowledge graph with RAG pipeline, evals, and traceable answers.
- Ergebnis
- Faster research with auditable sources.
- Techstack
- Python, PostgreSQL, Huggingface, Ollama
- Automation
n8n and Make workflows
- Problem
- Manual processes between CRM, ERP, and communication tools.
- Lösung
- Agentic workflows with approvals, logging, and error paths.
- Ergebnis
- Fewer manual steps, clear accountability.
- Techstack
- n8n, Make, Python, PostgreSQL
- AI
Chatbots with evals
- Problem
- Hallucinations, diluted knowledge base, and unclear security.
- Lösung
- Vector deployment, red-team tests, and monitoring at AI interfaces.
- Ergebnis
- Reliable answers with measurable quality.
- Techstack
- OpenAI, Portkey, Sentry, Python
- Venture capital
Venture-Diligence.com
- Problem
- Confidential deal flow does not belong in consumer chatbots with uncontrolled data paths; pitch deck analysis takes too long.
- Lösung
- Multi-stage AI pipeline: pitch deck, website, market and team data into structured investment memos with sources and gap notes.
- Ergebnis
- Faster from deck to memo, auditable workflow instead of chat history, hosting in Germany.
- Techstack
- TypeScript, Next.js, OpenAI API, PostgreSQL
- Software production
ASPS.ai
- Problem
- From idea to requirements spec, statement of work, and prototype creates media breaks and long discovery phases.
- Lösung
- End-to-end pipeline: unstructured input to specification, clickable prototype, and AI-assisted delivery with code review and CI/CD.
- Ergebnis
- First quote and prototype in minutes instead of weeks of manual prep.
- Techstack
- TypeScript, CI/CD
- Public sector
Civil protection: web and prototyping
- Problem
- Emergency services and municipalities without in-house development: staff work is rarely trained in a structured way; scenario exercises and source-based emergency research lack a digital standard.
- Lösung
- Interactive prototype with training modules, crisis scenarios, and AI-assisted research with source attribution: tangible, alignable, and plannable for the intended platform, not a finished rollout.
- Ergebnis
- Professional external presence, traceable skills development, and a solid basis for THW and fire service cooperation.
- Techstack
- ASPS.ai, Claude Code, HTML prototype
- E-commerce
Shop portals with 1.5M products
- Problem
- Scalable product and search architecture without performance collapse.
- Lösung
- Pipeline for catalog, filters, and search with reliable DB paths and CI/CD.
- Ergebnis
- Stable search and maintainability as the catalog grows.
- Techstack
- PostgreSQL, Redis, Node.js, Python, CI/CD
- Consulting
AI enablement in the enterprise
- Problem
- Teams needed practical AI workflows instead of isolated pilots.
- Lösung
- Workshops, architecture, and delivery along real in-house use cases.
- Ergebnis
- Measurable value and transferable patterns for internal teams.
- Techstack
- Claude, OpenAI, n8n, Python
- Knowledge management
GraphRAG / knowledge base
- Problem
- Knowledge spread across systems, answers without source attribution.
- Lösung
- Knowledge graph with RAG pipeline, evals, and traceable answers.
- Ergebnis
- Faster research with auditable sources.
- Techstack
- Python, PostgreSQL, Huggingface, Ollama
- Automation
n8n and Make workflows
- Problem
- Manual processes between CRM, ERP, and communication tools.
- Lösung
- Agentic workflows with approvals, logging, and error paths.
- Ergebnis
- Fewer manual steps, clear accountability.
- Techstack
- n8n, Make, Python, PostgreSQL
- AI
Chatbots with evals
- Problem
- Hallucinations, diluted knowledge base, and unclear security.
- Lösung
- Vector deployment, red-team tests, and monitoring at AI interfaces.
- Ergebnis
- Reliable answers with measurable quality.
- Techstack
- OpenAI, Portkey, Sentry, Python
- Venture capital
Venture-Diligence.com
- Problem
- Confidential deal flow does not belong in consumer chatbots with uncontrolled data paths; pitch deck analysis takes too long.
- Lösung
- Multi-stage AI pipeline: pitch deck, website, market and team data into structured investment memos with sources and gap notes.
- Ergebnis
- Faster from deck to memo, auditable workflow instead of chat history, hosting in Germany.
- Techstack
- TypeScript, Next.js, OpenAI API, PostgreSQL
- Software production
ASPS.ai
- Problem
- From idea to requirements spec, statement of work, and prototype creates media breaks and long discovery phases.
- Lösung
- End-to-end pipeline: unstructured input to specification, clickable prototype, and AI-assisted delivery with code review and CI/CD.
- Ergebnis
- First quote and prototype in minutes instead of weeks of manual prep.
- Techstack
- TypeScript, CI/CD
- Public sector
Civil protection: web and prototyping
- Problem
- Emergency services and municipalities without in-house development: staff work is rarely trained in a structured way; scenario exercises and source-based emergency research lack a digital standard.
- Lösung
- Interactive prototype with training modules, crisis scenarios, and AI-assisted research with source attribution: tangible, alignable, and plannable for the intended platform, not a finished rollout.
- Ergebnis
- Professional external presence, traceable skills development, and a solid basis for THW and fire service cooperation.
- Techstack
- ASPS.ai, Claude Code, HTML prototype
Web, app & extensions
Plan, build, deploy with a clear statement of work. UI design on request. AI-assisted or fully autonomous in code, depending on risk and domain.
Automation & data
Custom agentic workflows, data scraping and mining with clear data rights, deep integration into your systems, local models where it makes sense.
Workshops, consulting, training
Enablement for teams and leadership from discovery through rollout. Senior and junior mix: 50+ years of collective experience plus a growing, dynamic team.
Quality & security
No go-live without evidence.
Reliable software needs more than feature velocity. We deliver with clear verification paths, documented releases, and proof that holds up in audits and production. Details on pentests, load tests, and AI evals are on the software development page.
How our development teams work- Application security Whitebox pentest
- AI interfaces Tests & evals
- Database Load tests
- Information security ISMS / ISO 27001-oriented
- Deployment CI/CD, staging to prod
Process
From idea to deployment
From the first idea to production release: a clear path with visible milestones so you always know where your project stands.
24h
Response to project inquiries
With a clear assessment of scope, risk, and the sensible next step, not a generic acknowledgment.
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Plan & specify
Product scope, architecture guardrails, risk workshops
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Rapid prototyping
Visible results fast, before budget goes into irreversible decisions
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Development
Web, app, extensions, AI-assisted or fully autonomous, depending on quality requirements
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CI/CD & deployment
Reproducible builds, artifacts, promotion across stages
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Docker & hosting-ready
Manifests, scaling, operations, prepared for your target platform
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Quality assurance & handover
Acceptance, documentation, and clear operational handover before go-live
Services
Where we are strongest
We combine AI systems, consulting and training, automation, data scraping and mining with robust software development for web, app, and extensions.
AI, agents & automation
Agentic workflows, scraping and mining, orchestration with audit log, approvals, and escalation paths, production-ready.
AI, agents & automation: Mehr erfahrenWorkshops, consulting, training
Enablement, hands-on training, and rollout support for decision-makers and teams.
Workshops, consulting, training: Mehr erfahrenSoftware development
Make web, app, and extensions production-ready: architecture, scope, deployment, and hard quality gates.
Software development: Mehr erfahrenProgrammatic SEO (pipeline)
Scalable content and data pipelines when visibility becomes a technical delivery problem.
Programmatic SEO (pipeline): Mehr erfahren50+
Years of collective experience
Senior and junior mix: depth from enterprise and product projects, fresh perspective from a growing team.
200+
Projects delivered
From MVPs to long-term support, focused on sustainable releases.
∞
Curiosity for hard problems
Complexity is not a disqualifier: we only pass when it is ethically or technically unsound.
Let's talk about your project.
In a short intro call we clarify goals, risk, and the most sensible next step. You then get an honest assessment of whether and how we can help.