portrait — Sanyam AryaRooted in deep tech and software architecture, Sanyam is the force behind execution — evaluating AI models, hardening prototypes into production systems, and building robust MVPs from the ground up.
Connect on LinkedInWe 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
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 — Sanyam AryaRooted in deep tech and software architecture, Sanyam is the force behind execution — evaluating AI models, hardening prototypes into production systems, and building robust MVPs from the ground up.
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portrait — Gábor László MándokiDriven by a product and design background, Gábor focuses on the why and the how — analysing complex requirements and ensuring every technical decision is rooted in real user needs.
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