We bring AI into how your team works, day to day — whether that's the newest frontier models or established European tools. For founders and small teams who want a real AI strategy, not more hype.
What we do
Deep backgrounds in technology, design and operations — so we know exactly where AI creates real leverage, and where it doesn't. Built for founders, scale-ups and small teams who want an AI strategy but don't have one yet.
Tools, audiences, process — all questions answered in the FAQ
Curious how AI-native your team is? Take the free 5-stage assessment or read the framework first.
We audit how your team actually works, choose the tools that fit your stack — from Langdock to your ERP — and roll them out so the team uses them daily, not once.
When data residency, vendor risk or long-term control matter, we set you up on European tools — Langdock, Mistral, EU-hosted deployments — with no single-vendor lock-in.
We assess the fit, design the integration architecture, and build the validation strategy. If AI doesn't belong, we say so.
From vibe-code assessment to production-ready software. We turn prototypes into scalable products and build MVPs from scratch.
Why Visionar.ai
We've shipped AI across technical, product and operational layers — and we're honest about where it doesn't belong.
disciplines under one roof: tech, product & ops
to your first strategic roadmap
percent honest on AI fit — even when it's no
Engineering, product, design and operations. We know where AI creates leverage and where it burns budget.
We don't hand over a deck and disappear. We stay to build, integrate and deliver.
European tools, EU hosting and no single-vendor lock-in when data residency and continuity matter — so you're never one vendor decision away from losing access.
Leadership
portrait — Gábor László MándokiGábor comes from product and design. He digs into the why before the how, and pushes back when a technical decision doesn't actually serve the people using it.
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portrait — Sanyam AryaSanyam comes from deep tech and software architecture. He evaluates the models, hardens prototypes into systems that hold up in production, and builds MVPs that are actually ready to ship.
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