Case Studies
Built for real-world complexity.
A selection of systems DeepO3 has launched or is actively developing — each shaped by regulated, operational, or high-stakes workflows.
- Finance
- Municipal services
- Newcomer onboarding
- Knowledge management
- Multi-agent systems
Engagements
Featured case studies.
Each study captures the architecture, user-experience decisions, and operational safeguards that define a DeepO3 build. Open any card for the full breakdown.
DocUp
A block-based documentation editor designed to make internal knowledge tools feel as intuitive as premium consumer software.
- Drag-and-drop block editing architecture with composable content modules
- Design-system-driven UI inspired by Apple Human Interface principles
- Low-latency client rendering for fluid editing, reordering, and formatting
BuergerBot
An AI-powered municipal services assistant that turns bureaucratic procedures into clear, reliable citizen guidance.
- Live RAG pipeline with real-time scraping and FAISS-based retrieval
- Advanced intent classification with clarifying-question loops
- Immersive multilingual interface built for fast, clear interactions
PaperPilot
A step-by-step onboarding assistant that guides international students through Germany's post-arrival bureaucracy — Anmeldung, Tax ID, bank account, residence permit — in the exact order each step unlocks the next.
- Personalized 11-step roadmap generated from six short questions, ordered by real bureaucratic dependencies
- Bilingual English/German guidance with document checklists, office locations, and deadline tracking
- Anonymous and account-free, with honest service comparisons and no commissions or upsells
TradingAgents
A multi-agent financial analysis framework that coordinates specialist AI roles to pressure-test strategies before execution.
- Role-based orchestration for fundamental, technical, sentiment, and risk agents
- Structured multi-step debate loops to reduce blind spots in decisions
- Provider-agnostic model routing across OpenAI, Anthropic, Google, and Ollama
Delivery principles
What every engagement proves.
Three standards that carry across every DeepO3 build, whatever the domain or scale.
Domain fit
Systems calibrated to how your teams actually operate, validated with real users from week one instead of being retrofitted at launch.
Production-grade
Reliability, telemetry, and evaluations are built in before a system ships — guardrails scale with usage instead of being bolted on afterwards.
Continuous delivery
Iterative releases with measurable milestones, documented decisions, and safe rollback paths at every stage of the engagement.
Your engagement
Have a system with similar depth in mind?
Walk us through the problem. We will map it to a pragmatic delivery plan within two business days.