About Voiceter.ai — Built by Researchers, Powered by AI

Voiceter.ai was born from 10+ years of CX technology and market research expertise. The founding team experienced the limitations of traditional CATI firsthand: high costs, long research cycles, language barriers, and scaling challenges. They built the AI voice survey platform to solve these problems at their root.

Why We Built Voiceter.ai

The research industry has relied on the same CATI infrastructure for decades. AI voice technology has now reached the maturity to deliver human-like conversation quality at scale. Voiceter.ai was founded to bring this technological transformation to the research sector — making high-quality voice surveys accessible, affordable, and scalable for every team.

What We Built

Voiceter.ai offers a two-mode platform that lets research teams either fully replace CATI with Native Mode or add an AI voice layer to their existing platforms with Bridge Mode. Both modes use the same AI voice agent technology, with different deployment approaches to suit different migration strategies and budget requirements.

Our Values

  • Research quality — consistent, high-quality data on every interview
  • Transparency — open pricing, clear SLAs, and honest communication
  • Compliance — GDPR, KVKK, and TCPA compliance is always a priority, not an afterthought
  • Accessibility — scalable solutions for teams of every size, from small agencies to global enterprises
  • Innovation — continuous improvement of AI voice quality, language support, and platform capabilities

Voiceter.ai in Numbers

Voiceter.ai is used by global research teams for millions of interviews across industries. The platform supports 30+ languages, delivers up to 70% cost reduction compared to traditional CATI, and compresses research cycles by up to 10×. Enterprise clients benefit from SOC 2 compliant infrastructure and dedicated support.

The Problem We Solve

Traditional CATI requires weeks of scripting, training, and scheduling human interviewers, carries high per-interview costs, and is limited by time zones, languages, and human capacity. Voiceter.ai eliminates these constraints with AI voice agents that run 24/7, speak 30+ languages, and scale to thousands of simultaneous interviews without any human operators.

OUR STORY

Built by researchers. Powered by AI

Voiceter.ai was born from 20+ years of CX technology and market research expertise.

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THE PROBLEM

Voice research was broken — and everyone knew it.

For decades, telephone interviewing was the gold standard for quantitative research. High response rates. Rich data. Representative samples. But the infrastructure behind it — human call centres, shift scheduling, manual QA — was built for a world that no longer exists.

By the early 2020s, the cracks were visible everywhere. Response rates were declining. Fieldwork costs were rising. Compliance requirements were multiplying. And the tools hadn't changed in twenty years.

Research teams were spending more time managing logistics than doing research. Agencies were watching margins compress to single digits. Enterprise clients were getting slower, more expensive fieldwork — and accepting it because there was no alternative.

The problem wasn't the methodology. Voice interviewing still produces better data than email surveys. The problem was the infrastructure. And infrastructure problems require infrastructure solutions.

The methodology was sound. The delivery mechanism was broken. We set out to fix the delivery mechanism.
Voiceter.ai Founding Principle

WHY NOW

The technology finally caught up.

Three converging shifts made Voiceter.ai possible in 2024 — and impossible in 2019.

Large Language Models Reached Conversational Quality

The 2022–2024 generation of LLMs crossed a threshold: they could hold a structured, multi-turn conversation that was indistinguishable from a human interviewer. Not close — indistinguishable. Sub-500ms latency. Context retention. Natural clarification handling. The voice agent problem was solved.

Speech Recognition Accuracy Crossed 95%

For years, speech recognition was the weak link in voice AI. Accents, background noise, and domain-specific vocabulary produced error rates that made automated interviewing unreliable. By 2023, accuracy in real-world conditions crossed 95% — sufficient for structured survey responses in 30+ languages.

Compliance Infrastructure Became Automatable

GDPR, KVKK, and TCPA compliance had always required manual processes — checklists, training, legal review. The combination of structured consent capture, real-time DNC screening APIs, and tamper-proof audit logging made it possible to automate compliance at the infrastructure level for the first time.

WHAT WE BUILT

A platform built for the future of research.

Voiceter.ai is not a voice bot bolted onto a survey tool. It is a research platform built from the ground up for AI voice delivery — with compliance, quality, and methodology at the infrastructure level.

VOICE LAYER

AI Voice Agents That Conduct Real Interviews

Not IVR. Not scripted bots. Voiceter.ai's voice agents listen, understand context, handle interruptions, and adapt phrasing in real time — in 30+ languages. Sub-500ms response latency. Objection recovery. Clarification handling. Every interview sounds natural and consistent at any volume.

RESEARCH LAYER

Research-Grade Questionnaire Design

AI questionnaire generation from brief. Drag-and-drop editor. 7 voice-optimised question types. Skip logic, piping, randomisation. 100+ research templates. Built to AAPOR standards — not adapted from web survey conventions.

COMPLIANCE LAYER

Automated Compliance at Infrastructure Level

GDPR, KVKK, and TCPA requirements enforced on every call — not managed through checklists. Automated consent capture, DNC screening in under 50ms, call time window enforcement, and a 7-year tamper-proof audit trail.

The result is a platform that replaces the entire telephone research operation — not just the calling part. Design, fieldwork, compliance, quality monitoring, and analytics — all in one place, all automated, all available from day one.

OUR VALUES

What drives us

Research Integrity First

Every product decision is evaluated against one question: does this produce better research? Methodology is not a constraint — it is the product.

Global from Day One

30+ languages at launch. Not a roadmap item. Voice research is global — the platform had to be too.

Built for Researchers, Not Developers

The people who run research programmes should not need engineering support to launch a fieldwork campaign. Every workflow is designed for the researcher, not the integrator.

Compliance Is Not Optional

GDPR, KVKK, and TCPA are not features. They are infrastructure. Every deployment is compliant by default — not by configuration.

Transparent Pricing, No Surprises

Research budgets are fixed. Fieldwork costs should be predictable. No per-project quotes, no last-minute invoices, no hidden fees.

BY THE NUMBERS

Built for scale from day one

30+

Languages Supported

Native quality in every language at launch

1,000+

Parallel Interviews

Simultaneous outbound calls, no dialler hardware

~90%

Cost Reduction

vs. traditional CATI fieldwork per completed interview

<500ms

Response Latency

AI voice agent response time per turn

7 yrs

Compliance Audit Trail

Tamper-proof consent and call records

20+

Years Experience

Combined market research and CX technology expertise

Our Foundation

20+ Years of Market Research and CX Expertise. Built Into Every Line of Code.

Voiceter.ai was built by a team with over 20 years of combined experience across enterprise market research and customer experience technology — working directly with major brands in Turkey and international markets.

Our founders bring complementary expertise that is rare in this space: one spent years at one of the world's largest market research firms, developing deep fluency in research methodology, fieldwork operations, and survey software architecture. The other built and scaled an enterprise CX technology platform from the ground up, earning a decade of hard-won insight into how large organisations collect, process, and act on customer data.

That combination — research methodology depth plus engineering execution plus enterprise relationships — is not something that can be assembled quickly. It is the foundation Voiceter.ai was built on.

Built on Proven Foundations

20+ Years Combined Experience

Enterprise market research and CX technology — built into the product from the very first design decision.

Research Methodology Depth

Built to AAPOR standards — skip logic, quota management, and validated fieldwork methodology from 20+ years of hands-on research practice.

30+ Languages at Launch

Native multilingual AI voice from day one — not a post-launch addition.

Compliance-First Architecture

TCPA, GDPR, and KVKK automation designed into the infrastructure before the first line of product code.

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Join the teams already running AI voice surveys at scale.

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