The solution has always been to think outside the box. We’ve been building AI infrastructure since 2015 — which means you skip the learning curve and start where we already are.
Let’s talk →White-label enterprise software. The foundation that funded everything that followed.
Built AI-powered intelligence infrastructure: crawling 500k+ sites, classifying content, surfacing key opinion leaders in real time. Customers included Boehringer Ingelheim, Bayer, Roche, Novartis, Novo Nordisk, Syngenta.
CCC (Massachusetts) acquired Deep SEARCH 9 and its full customer base. Build it, prove it works, hand it off.
Building PubGists — a fully autonomous LLM pipeline — and Automostly, the open standard for AI pipeline transparency. This is what we know how to build.
We are not a consultancy that hands you a deck. We build the actual thing — faster than any team you would hire from scratch.
You have the market insight and domain expertise. But inside a large organization, AI initiatives slow to a crawl — weighed down by overhead, competing stakeholder interests, and layers of approval. An outsourced startup operates entirely outside those constraints: independent, agile, accountable only to results. We bring the AI architecture, the build speed, and the track record. You get to market in weeks, not years.
Your workflows exist and they work. But AI can run them faster, cheaper, with fewer humans in the loop. We find the highest-leverage places to apply LLMs and build the production integration. Two decades of shipping systems means your team doesn’t start from zero — we compress the learning curve and get you to working results before the first mistakes are made.
Multi-step LLM pipelines are engineering problems, not just prompt engineering. We design them: model selection per task, cost control, quality gates, self-monitoring. Built on what we run in production ourselves.
A fully autonomous LLM-native content pipeline: procurement, extraction, sentiment analysis, copyright checking, infographic generation, and publication — end-to-end, no human in the loop. Surfaces documented government progress to counter populist narratives. Our proof that this class of system can be built small-team, fast.
Open standard for AI pipeline transparency. An autonomy-rating badge and radar widget that lets publishers show exactly how much AI was involved in producing content — and what kind. dadazunano is the reference pipeline. automostly.org →
AI-powered intelligence infrastructure for pharma R&D: 500k+ sites crawled, content classified, key opinion leaders surfaced in real time. Built and operated for Boehringer Ingelheim, Bayer, Roche, Novartis, Novo Nordisk, Syngenta. Acquired by Copyright Clearance Center (CCC, Massachusetts) in 2022.
Products built, deployed, maintained — then handed off or sunset cleanly.
Project management and knowledge base in one platform. Jira-style workflows with Confluence-style documentation, built before either dominated the market.
BaFin-compliant document lifecycle management for the Sparkassen network. White-label, widely deployed, full audit trail from creation through approval.
Interactive test harness for KonTra backend services running on mainframe and cloud identically. Ran extensive load tests in IBM laboratory — proving near-linear scaling of Java banking applications at hundreds of thousands of transactions, fully exhausting the hardware. Parallel version management with zero-downtime updates.
Guided risk analysis and compliance documentation for engineered technical products. Proves conformity with applicable laws, technical directives, and standards — VDE, VDI, ISO, DIN. Full audit trail, white-label, built for manufacturers certifying products for the German and European market.
If you are serious about building something with AI — not commissioning a study, not a pilot, the actual thing — let’s have a conversation.
info@dadazunano.de →dadazunano GmbH · Rheinstr. 28c · 76532 Baden-Baden
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