Engineering roots
Rafał starts coding, beginning a technical career that would later become the engineering foundation of Voicetta (PHP, Python).
Our shared journey
The story behind Voicetta
It didn't start with AI. It started with inbound calls that weren't answered fast enough — and fifteen years of quality methodology that became Voicetta.
The breaking point
It didn't start with AI. It started with a phone that kept ringing — and nobody picking up fast enough.
Rafał Florek spent over a decade building and refining guest service standards at a 5-star hotel level. He knew exactly what great service looked like, how to measure it, and how to make it consistent. But he also saw the same problem everywhere: businesses were losing revenue not because their product was bad, but because they couldn't respond fast enough.
In hospitality, a missed call is a missed booking. In every other industry, it's the same — just less visible.
What started as a solution for hotels quickly revealed a universal problem: companies across industries were losing revenue to unanswered inbound calls. Rafał set out to fix that — not with more staff, but with AI systems built to the same standard he held every hotel team to.
“A missed call is not a missed interaction. It's missed revenue.”
— Rafał Florek, Founder & CEO
Before Voicetta, there was hospitality.
For more than a decade, we worked in environments where every guest interaction mattered. Service quality wasn't a marketing concept. It was something measured, reviewed, improved, and repeated every day.
Long before large language models existed, we were already obsessed with a different question:
How do you deliver the same high-quality experience every single time?
Voicetta is our answer to that question.
Our journey
The path to Voicetta wasn't a startup sprint — it was a methodical evolution from service quality to voice technology.
Service quality foundations
Begins implementing and scaling guest service standards and procedures at a 5-star hotel level. Over the next decade, builds a systematic approach to measuring, improving, and maintaining service quality using TQM (Total Quality Management) methodology.
Voice automation begins
Starts personally implementing IVR scenarios and systematically measuring the quality of automated voice interactions — bridging hospitality service standards with telephony systems for the first time.
Voice AI R&D
Begins building voice AI solutions powered by large language models. A rigorous two-year testing phase starts — no shortcuts, no rushing to market.
Technology refinement
Significant improvements to voice AI technology, focusing on natural language understanding, reduced latency, and conversation patterns that meet 5-star service standards. Early adopter results show a 75% reduction in missed calls.
Voicetta launches
Voicetta officially launches as a fully operational company with battle-tested, production-grade systems. Not a beta. Not an MVP. A company built on two years of testing and fifteen years of quality methodology.
Growing & evolving
Today, Voicetta serves over 200 companies worldwide, handling 1M+ conversations with 98% customer satisfaction. Continuously improving technology while expanding across industries and use cases.
See how these principles work in production.
Read our case studies →Case StudyThe builder behind Voicetta
Engineer, service quality specialist, voice AI builder — the standard Voicetta is built to match.
Founder & CEO
Rafał has been coding since 1999 and implementing 5-star hotel service standards since 2009. He spent over a decade systematically measuring and improving guest service quality using TQM methodology — a discipline he now applies directly to training voice AI models.
In 2019, he began bridging hospitality standards with automated voice systems through IVR implementation and quality measurement. In 2022, he started building voice AI solutions — and spent two years testing them before anything went to production. That rigor became Voicetta.
His experience leading Novumhouse Investments gave him firsthand insight into how missed calls translate to missed revenue — and how AI, built to the right standard, can solve that problem at scale.
Today, he leads a team focused on building done-for-you voice AI systems that answer calls, qualify leads, and move customers forward — with the same consistency you'd expect from the best hotel in the world.
“From AI that talks — to AI that performs.”
Our mission today
Voicetta exists to solve a problem most businesses accept as normal: missed inbound calls, slow response times, and inconsistent customer interactions.
Founded in 2024 after two years of rigorous R&D, we build production-grade voice AI systems that answer calls, qualify leads, and deliver consistent service — 24/7, at scale. Our technology is rooted in Total Quality Management methodology, the same framework used to maintain 5-star hotel service standards.
We believe AI should perform to a measurable standard — not just respond, but deliver consistent, reliable outcomes every time. That's what separates a voice AI agent from a voice bot. What started as a solution for hospitality has grown into a platform and done-for-you service trusted by over 200 companies worldwide.
200+
Companies
1M+
Conversations handled
98%
Customer satisfaction
Stop Losing Opportunities While You Sleep
Every missed call costs you money. Voicetta captures leads and provides exceptional service 24/7, even when you can't.
Never Miss a Call
Our AI responds instantly to every inquiry, 24/7/365, ensuring no potential customer goes unserved.
Free Up Your Team
Reduce support workload by 60%, letting your team focus on high-value activities that grow your business.
Increase Conversions
Clients report an average 35% increase in lead conversion through instant, personalized responses.
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