We handle the full chain, starting from recruiting the right speakers through to delivering structured, production-ready datasets. One partner, multiple workflow layers.
Custom voice and speech recording projects with targeted speakers, controlled instructions, and configurable capture workflows. Every project is scoped to match your technical requirements.
We recruit contributors based on language, dialect, demographics, and project-specific metadata, and then we run recording workflows that match your capture specs exactly.
Contributors record from their own environment using our platform. We control prompts, quality checks, and device rules remotely.
Controlled recording environments with hardware checks, noise monitoring, and session management for projects requiring specific acoustic conditions.
Single-speaker prompt reading, free-form speech, or multi-speaker dialogue capture with role-based scenarios and speaker separation.
Speaker selection by language, dialect, age, gender, location, or custom attributes. Multilingual and dialect-sensitive recruitment across European markets.
Human transcribers handle complex audio with domain-specific terminology, overlapping speech, and accent variation.
Pre-transcription with ASR followed by human review and correction. Faster throughput with quality maintained through review layers.
Speaker-labeled transcription for multi-participant recordings. Each speaker identified and tagged consistently throughout.
Word-level or segment-level timestamps. Structured output formats including JSON with time alignment and speaker IDs.
Human, machine-assisted, or hybrid transcription workflows with timestamps, speaker separation, review layers, and structured outputs.
Transcription quality depends on the review process. We build review workflows that match the accuracy requirements of each project, ranging from single-pass review to multi-reviewer consensus.
Production-ready packaging with audio files, transcripts, metadata, manifests, and QA logic aligned to your pipeline.
We do not just hand over a folder of files. Delivery includes naming conventions, metadata schemas, consent linkage, manifests, and checksums, all structured to drop directly into your workflow.
We provide a standard delivery package including file naming conventions, manifests with checksums, project metadata schemas, consent reference linkage, and bucket transfer or API handoff.
Quality control is not an afterthought. We build review logic into the production itself, so issues are caught while they can still be fixed cheaply.
Reviewers inspect recordings and transcriptions while the project is live. Issues are flagged before they multiply.
Audio quality, transcript accuracy, metadata completeness, and format compliance checked against project specs.
Large projects are managed in batches. Each batch goes through its own quality gate before being accepted into the final delivery.
When problems are detected, they are escalated and resolved within the production cycle, rather than being discovered after delivery.
Cross-contributor and cross-batch consistency checks ensure the full dataset meets the same standard throughout.
Statistical sampling of recordings and transcriptions to validate quality without bottlenecking production throughput.
Tell us what you need, such as languages, speakers, recording setup, transcript format, and delivery requirements. We will design the workflow.
