A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Automated speech-to-text is fast, but ASR training and evaluation need ground truth. We pair trained human transcribers with a four-stage QA workflow, so accents, code-switching, crosstalk and specialist terminology are captured correctly. Every transcript can be time-aligned for model training and paired with our voice data collection and localization services for a complete speech-data pipeline.
Start a transcription pilotHuman transcribers and reviewers handle the accents, overlaps and domain terms that automated tools miss — delivering data your ASR models can trust.
We convert speech into accurate, time-aligned text for ASR training, subtitles, analytics and search — including verbatim and clean-read styles, speaker diarization and noisy, accented or multi-speaker audio. Human transcribers and reviewers work in 25+ languages to your formatting and tagging spec, and a four-stage QA workflow keeps word error rate low as hours scale. The same team runs audio annotation and speech data collection and feeds clean text into your NLP annotation services, so one vendor covers the whole speech pipeline.
Start a transcription pilotClean transcripts are the backbone of speech recognition and audio understanding. Graveiens AI provides human transcription and audio labelling — verbatim or clean-read, timestamped and speaker-labelled — across 25+ languages and challenging real-world audio.
Our transcribers are tuned to regional accents and noisy conditions, and every file passes a measured four-stage quality workflow so your ASR training and evaluation data stays accurate.
Talk to our transcription teamFrom verbatim transcripts to timestamped, labelled audio.
Word-accurate transcripts with configurable style and formatting.
Word- and segment-level timing for training and search.
Diarisation and speaker tags for multi-party audio.
Transcription tuned for regional accents across 25+ languages.
Representative programmes our transcription services support.
Reference transcripts for speech-recognition models.
Searchable transcripts for audio and video libraries.
Labelled audio for contact-centre and analytics models.
Real audio is noisy, overlapping and accented — exactly where automated tools slip. Our human transcribers, gold-standard checks and four-stage review keep accuracy high, and pay-on-approval delivery keeps a first transcription pilot low-risk.
Start a transcription pilotHow our audio transcription services compare with other providers on focus, quality and turnaround.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Human audio transcription in 25+ languages | Verbatim, clean, time-stamped, ASR-ready | Native-speaker QA vs a reference, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | Multilingual audio and speech data | Audio, speech, verbatim | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | Audio and speech annotation | Audio, speech, text | Human-in-the-loop QA | Managed teams |
| Shaip | Healthcare and conversational audio | Audio, speech, text | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Audio and speech transcripts | Audio, speech, text | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Audio and multimodal annotation | Audio, image, video | SamaAssure QA | Managed workforce |
| Surge AI | Speech and text data for LLMs | Audio, text, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
Real transcribers for the audio automated tools get wrong.
25+ languages with native review.
Four-stage workflow with gold-set calibration.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot