ABOUT RECORDYA

We build AI that speaks your language

Recordya was born from the belief that artificial intelligence systems must understand local context and language in order to truly support people in their work.
We didn't build Recordya to create yet another enterprise application. It came to life because we were tired of the way organisations — particularly in Poland — have to work with documents. Hundreds of files scattered across folders and systems. Important information getting lost in emails, versions and procedures. That wasn't a people problem. It was a systems problem.

Most available tools try to patch this complexity by adding even more features, panels and integrations. We knew a different direction was needed — one that simplifies rather than complicates. So we started building Recordya: a platform that lets you ask questions in natural language and get sourced answers in seconds. No noise, no excess, with full data security.
We're building Recordya for teams that want to move faster, but not at the cost of quality and transparency. For organisations that need not just capable software, but a solution that respects the way they work and their local context.

If that sounds like your company — we're glad you're here.
Radosław Kamiński
CEO & Founder
nexocode
News and insights from our team
July 23, 2026
News
What to Look for When Evaluating AI Search Solutions
A practical checklist for evaluating AI search solutions: reasoning, query decomposition, multimodal data, RAG, AI agents, and secure deployment.
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July 17, 2026
Technology
Beyond Document Search: Why Enterprise AI Search Needs to Query Databases, Tools, and Documents Together
See why AI search in orgs needs documents, ERPs, and images queried together - and how Recordya AI Agentic Search uses them in one pass.
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June 29, 2026
Technology
Classic RAG vs AI Agentic Search: What's the Difference and Which One Does Your Enterprise Actually Need?
Classic RAG retrieves passages and generates answers. AI Agentic Search plans, decomposes, reasons across sources, and iterates. For complex enterprise queries, the difference is everything. Here's what sets them apart.
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