Voice & speech
Conversational, read, spontaneous, command, and emotional recordings.
CONVERSATIONAL · TTS · ASR
[Multimodal] data, where it lives.
Audio, image, video, text, and multimodal datasets sourced from real people, captured under consent, and delivered with the paperwork your compliance team can actually read.
Most multimodal training data was scraped, not collected.
Images pulled from the web with no signed model release. Audio pulled from videos without the speaker's consent. Text pulled from forums with PII still attached. The data passes your model's quality bar and fails the first real compliance review.
When a regulator asks where it came from, a URL is not an answer. A person is.
Why this holds up
Real contributors
Every data point traces to a named, verified person who signed the form. Not a crowd. Not a scrape.
Every modality
Audio, image, video, text, multimodal, and sensor. The same methodology across all six.
Rights-cleared by design
Consent, compensation, and usage rights are locked before capture starts, not bolted on at delivery.
One [standard]. Every modality.
The Human Standard applies the same way whether we're recording voice or annotating video. One bar, one card, one chain of custody.
What we collect
Image
Object, scene, document, medical, satellite, and aerial imagery.
CLASSIFICATION · OCR · DETECTION
Video
Egocentric, exocentric, action recognition, and task demonstration.
ACTION · TASK · TEMPORAL
Non-speech audio
Environmental sounds, acoustic events, music, and ambient scene recordings.
ENVIRONMENTAL · EVENTS · ACOUSTIC
Text
Prompts, responses, document-grounded pairs, and translation corpora.
INSTRUCTION · RAG · TRANSLATION
Multimodal
Paired audio-image, video-transcript, voice-text, and image-caption datasets.
PAIRED · ALIGNED · SYNCHRONIZED
How a project runs
Scope
Tell us the modality, language, domain, volume, and timeline. We return a scoped plan in 48 hours covering contributor profile, capture spec, and rights framework. Nothing starts until the scope is signed.
Source & capture
Contributors are sourced from a network across 60+ countries and 50+ languages, skill-matched to your project. Every file receives its identity, consent version, and rights flags at the moment of capture.
Verify & deliver
Three independent quality layers run on every file before it reaches your review. The dataset ships with a card documenting contributors, consent, rights, and QC reports.
The Human Standard, applied to every collection.
What ships with every file
- Identity
- Verified contributor, anonymized for delivery
- Consent
- Signed version, retrievable per file
- Rights
- Commercial, derivative, and redistribution flags
- Capture
- Timestamped at the moment of creation
- Quality
- Multi-layer QA scores, attached to the file
- Review
- Every human decision logged with actor and time
- Scope
- The project the file was collected for
- Hash
- Unique, verifiable, tamper-evident
- Format
- Specification documented in the dataset card
- Card
- Compiled per delivery, covering everything above
If an auditor asks where this came from, the answer is already in the file.
Who it's for
Frontier AI & foundation model teams
Pre-training and fine-tuning runs that need diverse, defensible data across every modality the model will eventually see.
Applied AI teams in voice, vision, and multimodal
Production-grade datasets collected to your spec, in your target domains, delivered in the formats your training pipeline actually ingests.
Enterprise AI & regulated industries
Procurement-routed, compliance-reviewed, legal-approved. Data with paperwork your audit team can sign without a second meeting.
Questions
Tell us what to collect.
Share the modality, the demographics, and the volume you need. We come back within one business day with sample files and a scoped plan.