Cases
What we build and who we advise — practice, not PowerPoint.
Own developments
Our own AI systems as proof: we know what we're talking about.
Mingly — Multi-LLM Desktop App
Mingly brings Claude, GPT, and locally running Ollama models into a native macOS desktop app. Requests switch between cloud and local models without context loss — history is model-agnostic, sensitive content can stay on-device. In production since early 2026, written in TypeScript on Electron, stored in local SQLite.
DocMind — RAG Frontend for Private Data
DocMind makes private document collections — PDFs, notes, internal wikis, contract archives — semantically searchable, fully offline. Embeddings are computed locally, Qdrant runs as a sidecar process inside the Electron app. User data does not leave the computer. Built for lawyers, fiduciaries, research teams, and SME leadership who need AI on confidential material without sending it to the cloud.
RAG-Wissen — Production RAG for our own knowledge base
RAG-Wissen is our internal RAG system for advisory knowledge, technical documentation, and market intelligence. Runs in production with Qdrant v1.17.1 and Harrier embeddings, provides the research base for our blog articles, and connects via an MCP server to Claude Code, Mingly, and our internal tools. Single source of truth for every advisory sparring session.
Prüfstand — AI Testing Framework
Prüfstand is our framework for systematic testing of AI systems: prompt variations, model comparisons, quality scoring via LLM-as-a-Judge, regression detection over time. Used for QA of our own products and in advisory work for customers who want to harden their own AI pipelines before going to production.
Nexbid — Open Infrastructure for Agentic Commerce
Nexbid is a two-sided marketplace for the moment AI agents buy: publishers bring content, advertisers bring products and campaigns, Nexbid connects both sides through open protocols (AdCP, MCP) instead of a walled garden. Live since April 2026 with discovery API, MCP server, 19 transaction tools, x402 payment rail, and wallet-pay magic-link. Founding publisher Betty Bossi, founding advertisers FOCUSWATER and The Champagne.
Compass — Research Project
Compass is our internal research project on agentic workflows for complex research tasks: translate multi-step work that a human would spread over days into an orchestrated agent flow — with control checkpoints, source provenance, and auditable reasoning. Written in Python on the Claude Agent SDK, with MCP-based tool connections to our internal knowledge sources.
Eval-Framework — LLM-as-a-Judge with bias correction
Our framework for systematic evaluation of LLM outputs: pairwise comparisons, bias corrections (position swap, verbosity, self-preference), calibration against human baselines with Spearman ρ and Krippendorff α as acceptance thresholds. Used for RAG-Wissen quality gates, Nexbid content reviews, and advisory mandates where customers need objective AI quality measurement.
Mineralis — AI-native Equity Research for Mining Equities
Mineralis is a SaaS platform for investment research in the global mining and energy market: every listed mining company in the world gets a self-updating AI research profile with source attribution, material events are detected and classified in real time, and an explainable scoring framework (MAS-Score) replaces black-box DCF. Positioned as 'Bloomberg for junior miners' — the depth and coverage of CapIQ/S&P (USD 30K/year) with AI-first architecture and transparent pricing.
Customer cases
Advisory engagements where we've supported clients.
Automated Document Processing with AI
A Swiss mid-market company processed thousands of incoming documents per month — invoices, contracts, delivery notes — manually by a clerical team. We designed an AI pipeline for classification and data extraction, evaluated vendors, and accompanied the rollout.
AI-Supported Customer Service Optimization
A Swiss service provider with high customer-service inquiry volume wanted to raise first-contact-resolution while cutting response times. We designed an AI-supported workflow for incoming inquiries — classification, draft responses, FAQ bot — and accompanied the rollout with the service team.
Individual AI Strategy Advisory for Leadership
The leadership team of a Swiss company wanted to prioritise AI investments strategically rather than scatter them opportunistically into one-off projects. In a focused series of discovery sessions we identified use cases, weighted them, and translated them into a 12-month roadmap.