Services
AI training data collection services, run across India
Every service below is delivered through our nationwide studio and field-recruiter network, under one scope, one QA standard and one contract. Pick the closest match — most projects combine two or three.
- Recruited-speaker speech corpora recorded to a written specification: scripted prompts, spontaneous monologue, or both, with full speaker metadata.Typical: 3-6 weeks for 100-500 hours in a single language; multi-language programmes run in parallel.Speech Data Collection
- Studio voice recording built for model training rather than broadcast: controlled acoustics, consistent mic distance, and reproducible session parameters across every speaker.2-5 weeks depending on speaker count and city spread.Voice Recording for AI Training
- Transcribed speech corpora built to train and evaluate automatic speech recognition, with verbatim transcription, timestamps and per-token language tagging where code-mixing occurs.Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.ASR Training Data
- Single-speaker and multi-speaker text-to-speech corpora with phonetically balanced scripts, consistent prosody, and studio-grade capture suitable for neural TTS.4-8 weeks for a 20-40 hour single-speaker voice build including casting.TTS Training Data
- Natural two-party and multi-party conversation recorded with separate channels per speaker, covering the overlaps, interruptions and turn-taking that scripted data never produces.4-7 weeks for 100-300 hours in one language.Conversational Speech Data
- Simulated and consented real-world contact-centre audio in Indian languages, recorded over telephony-grade channels so it matches the bandwidth your production system actually sees.3-6 weeks for 100-250 hours.Call Centre Speech Data
- Verbatim and clean-read transcription of Indian-language audio by native speakers of the target variety, delivered against a written style guide with measured agreement.1-2 weeks per 100 audio hours per language.Transcription Services
- Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication.2-4 weeks for typical corpus volumes per language pair.Translation & Localisation Data
- Labelling of existing audio: speaker diarisation, emotion, intent, events, language identification and segment-level quality tagging, against your label schema.Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.Audio Annotation
- Human evaluation of your speech models: MOS and preference testing for TTS, WER-in-context review for ASR, and native-speaker judgement on naturalness and intelligibility.1-3 weeks per evaluation round.AI Voice Evaluation
- Parallel programmes across several Indian languages at once, run to one specification so the resulting datasets are comparable rather than a set of incompatible deliveries.6-12 weeks for a multi-language programme, depending on the smallest-pool language in scope.Multilingual Data Collection
- Human-generated text and speech for LLM training and evaluation in Indian languages: prompts, preference rankings, instruction-response pairs, red-teaming and cultural-fit review.2-6 weeks depending on task complexity and contributor screening depth.Human Data for LLM Projects
Not sure which service you need?
Send the model you are training and the gap you are seeing. We will tell you which collection type closes it, and what it costs.