Data infrastructure for AI

The Human Data Layer for Next-Generation AI

The data infrastructure layer that continuously transforms creator-generated content into structured, rights-cleared multimodal datasets for the next generation of AI models.

Rights-cleared/GDPR compliant/Continuously collected
0M+
Creators in network
0+
Avg viewers / creator
0M+
Community reach
0
Countries

Illustrative figures · target network scale at launch

The shift

The bottleneck isn't compute anymore. It's data.

Frontier models have exhausted the open internet — and what's left to scrape is stale, unlabelled and a copyright minefield. The next leap comes from fresh, consented human data that was never sitting in an archive to begin with.

Reecorder holds the one position no one else can — at the source. We capture live creator moments as they happen, clear the rights, process them and deliver model-ready datasets. One chain, end to end.

Not scraped
captured at the source, with consent
Not static
a continuous, always-fresh feed
Not generic
multimodal, labelled, model-ready
Who actually has this data

Live, multimodal human data at this scale sits with only a handful of players on earth — the streaming platforms that host it, and Reecorder.

The platforms
TwitchYouTubeTikTokKick

Sit on it — but it stays walled inside each platform, not available to license.

Reecorder
The independent layer

Cross-platform, creator-consented, and built to license — to any lab that needs it.

Built for the teams building frontier AI

OpenAIAnthropicGoogle DeepMindMeta AIMistral AICohere
What Reecorder Is

A data infrastructure platform — not a dataset reseller.

Most vendors hand you a static export and disappear. Reecorder owns the whole chain: we capture content the moment creators go live, clear the rights, process it, and ship model-ready datasets on demand.

live · always-on

Capture

Live · always-on

We capture authentic creator content the moment they go live — full-resolution video, audio and screen — across millions of streams. No scraping, no static archives: a constantly refreshed supply of real human data.

  • Live, always-on ingestion
  • Full-res video · audio · screen
  • Millions of creators worldwide
Our Data Sources

Built from authentic, real-world content.

Unlike traditional providers, Reecorder doesn't rely on static internet archives. We build continuously growing datasets from real creators — down to the codec, the transcript and every live engagement signal: gifts, likes, audience and follows.

LivestreamsCreator videoConversationsGameplayTutorialsReal-world interactionsBespoke campaigns
duration
3:15
frame rate
60 fps
raw capture · no hud
sample · Gaming
resolution
1920×1080
frame rate
60 fps
codec
H.264 · AAC
bitrate
9.0 Mbps
scenes
14 detected
speakers
1 segmented
language
EN
consent
✓ verified
Dataset Types

Three ways to acquire data.

Multiple acquisition models, depending on what your model needs — from instant licensing to fully custom collection.

Deliverables

Far more than raw video.

Every dataset arrives as aligned, versioned files — ready to load straight into your training pipeline.

Video
Audio
Transcripts
Timestamps
Metadata
OCR
Speaker segmentation
Scene boundaries
Annotations
Embeddingsopt
Licensing documentation
Rights & compliance, built in
Explicit creator consentVersioned licensingAudit trailsGDPR complianceProvenance trackingWithdrawal managementCommercial rights
Use Cases

Built to train the models that matter.

Not industries — model types. Reecorder data feeds the systems defining the next era of AI.

01

Video Understanding

Parse what happens in footage — actions, scenes and objects over time.

02

Vision-Language Models

Pair frames with language for captioning, retrieval and grounded reasoning.

03

Embodied AI

First-person, real-world interaction data for agents that act in physical space.

04

AI Agents

Long-horizon task traces — how people actually get things done on screen.

05

RLHF

Human reactions and preferences to align model behaviour with real taste.

06

Content Moderation

Edge-case, real-world examples to train robust safety classifiers.

07

Search & Retrieval

Richly tagged multimodal clips for training and evaluating retrieval.

08

Robotics

Multi-cam, depth and POV manipulation data for control policies.

09

Advertising Intelligence

Creative, engagement and audience signals for ad understanding.

10

Recommendation Systems

Watch patterns and engagement to model what audiences want next.

How we compare

The data others can't reach.

Live creator content is ephemeral and rights-locked — it never lands in a public archive to scrape. Reecorder captures it at the source, with consent, where scrapers and traditional vendors come up empty.

Freshness
Reecorder
Continuous, live
Web-scraped data
Static snapshots
Traditional vendors
Slow batches
Rights & consent
Reecorder
Explicit, versioned
Web-scraped data
Unknown
Traditional vendors
Varies
Multimodal + metadata
Reecorder
Video · audio · text
Web-scraped data
Mostly text
Traditional vendors
Limited
Live engagement signals
Reecorder
Gifts · likes · audience
Web-scraped data
None
Traditional vendors
None
Provenance
Reecorder
Per-asset
Web-scraped data
None
Traditional vendors
Partial
Bespoke collection
Reecorder
On-demand
Web-scraped data
Not possible
Traditional vendors
Costly · slow
Scale
Reecorder
Millions of creators
Web-scraped data
Variable
Traditional vendors
Constrained

Tell us what your model needs.

Whether you need an off-the-shelf dataset, continuous data supply or bespoke collection — we'll build the right pipeline.