Train AI with Human Voice

Train, evaluate, and improve AI models with real people: high-quality human data for voice, language, conversations, reasoning, and evaluation.

Why we exist

AI still needs humans.

The most capable AI models are built with more than compute and algorithms. They need people to speak, write, reason, evaluate, compare, explain, and interact with them. But finding the right people and managing large-scale human data projects is difficult. We provide the infrastructure to make it easier.

What we cover

One platform for human-powered AI training.

Whether you need a few hundred participants or a large-scale data collection project, create structured human training programs around your specific requirements.

Voice & Speech

Collect real human speech for the next generation of voice AI.

Speech recognition · Text-to-speech · Voice agents · Conversational AI · Pronunciation · Accent and dialect recognition · Voice quality evaluation

Language

Build high-quality language datasets with native speakers and multilingual contributors.

Text · Speech · Translation · Transcription · Localization · Dialect variation · Code-switching · Language evaluation

Conversations

Create realistic conversations between people and AI.

Voice assistants · AI agents · Customer support · Roleplay · Multi-turn conversations · Instruction following · Real-world use cases

AI Evaluation

Put your models in front of real people before putting them in front of your customers. Compare model responses, identify failures, and understand where your AI needs improvement.

Accuracy · Relevance · Helpfulness · Naturalness · Safety · Instruction following · Cultural context

Custom Data Projects

Have a requirement that doesn't fit into a standard category? Define the task, participant requirements, quality standards, and volume. We'll help you build the human data program around it.

Reasoning & Expert Data

Some problems require people with specific knowledge, professional expertise or the ability to reason through complex tasks.

Professional expertise · Question answering · Problem solving · Expert knowledge · Decision making · Logical reasoning · Domain-specific tasks · Response comparison

How it works

From requirements to finished data.

Tell us what you're building and what you need. Specify the task, participant profile, languages, volume, quality requirements, and timeline.

We identify and onboard people who match your requirements, selected by language, location, expertise, demographics, or experience.

Participants complete structured tasks through the platform: record, answer, evaluate, or complete whatever your project requires.

Human data is only useful when it's reliable: qualification, validation, review, duplicate detection, and other controls.

Receive organized, structured outputs your team can use for training, evaluation, research, or product development.

Who it's for

Built for teams building the future of AI.

Foundation Models

Collect the human data required to train and evaluate increasingly capable models.

Voice AI

Build speech datasets for assistants, agents, transcription, TTS, and conversational systems.

AI Agents

Test agents against real people and real-world scenarios.

Research Teams

Run controlled human-data collection and evaluation studies at scale.

AI Product Teams

Understand how real users interact with your models before deployment.

Full control

Your project. Your requirements.

We don't believe every AI company needs the same dataset. You decide:

  • Who participates.
  • What they do.
  • How the data is collected.
  • What quality looks like.
  • How much data you need.

We provide the infrastructure and human network to execute it.

For AI companies

Have a human data requirement?

Tell us what you're building. We'll help you turn the requirement into a structured data collection or evaluation project.

Start a Project

For trainers

Get paid to help build AI.

Join the network and participate in projects that match your skills, languages, experience, and interests.

Become a Trainer

Human input. Better AI.

AI can generate the output. Humans provide the signal that tells it whether that output is actually good. We make it possible to collect that signal at scale.