solving data challenges for agi

Frontier human data for AI

Seclusion builds containerized environments that can collect, extract, and filter high-signal data from human interactions. For voice AI and AI agents

Speech synthesis

Synthetic data

Our platform creates high-quality datasets, separated at source, across a wide range of topics, and mimicking human environments.

ASR & Diarization

Labelled data

We work with human annotators to transcribe multi-turn conversations. We use LLM judges to evaluate results, filtering high quality data

Voice AI data

Diverse data

We work with artists, media, and storytellers to recreate and license proprietary datasets across different languages.

voice ai data

Expressive

News reports, emotive dubbing, audiobooks, kids' voices, cartoons, emotions. Annotated with detailed labels to create different data shapes

AI Agents

Evals

We create sandboxes for humans to execute a variety of tasks. Our graders reward intermediate steps and establish successful outcomes.

AI agents

Rubrics

We create task-specific grading for outcomes. Our expert network creates rubrics and establishes different outcomes with success metrics

frontier data for AGI

As RL saturates benchmarks, we need new evals that can reflect the real work that happens in the knowledge world. At Seclusion AI, we are solving for some of the complex challenges around high-signal data and evals for voice and AI agents