The data layer for AI in Latin America.

Speech, video, multimodal, text and business workflows, built into custom datasets on demand. Trusted by some of the world’s leading AI labs.

Our approach

01

A network, not a lab

Collaborators across countries, industries and dialects, capturing how people actually speak, write and work.

02

Custom by design

Every dataset starts with your brief. We run post-processing to clean, segment and label it, so it arrives ready to train on.

03

Trusted by leading labs

We partner with some of the world's leading AI labs on the data their models are missing.

What we collect

Speech: Real voices, real accents

Natural and read speech from native speakers, with the accents, dialects and noise of real life.

From everyday conversations to field recordings in Spanish and Portuguese, every clip arrives transcribed and ready to train on.

Where the work happens

Agriculture

Farms, greenhouses, nurseries and landscaping crews.

harvesting · planting · weeding · livestock

Hospitality

Restaurants, commercial kitchens and hotels.

food prep · line cooking · dishwashing · housekeeping

Logistics & retail

Warehouses, stores and moving crews.

picking · palletizing · restocking · truck loading

And more

Construction sites, factories, offices and contact centers.

masonry · assembly · back-office · customer support

Use cases

01

Speech and voice agents

Accents, dialects and real-world noise that today's speech models still stumble on.

02

Multimodal and world models

Synced video, audio and motion of real activity, from kitchens to warehouses.

03

Robotics

First-person footage of hands at work, for manipulation pretraining.

04

Computer-use agents

Real business workflows, recorded step by step, to train and evaluate agents.

05

Localized language models

Text written by native speakers and experts, grounded in local context.

06

Evaluation

Held-out sets that show how a model really performs outside the benchmark.

How it works

Models only know the world they’re shown. We collect it where people actually live and work.

A network of collaborators records speech, video, text and real workflows to your brief, and our post-processing turns it into clean, labeled datasets.

Off the shelf
  1. 1Studio audioClean
  2. 2Translated textGeneric
  3. 3Tabletop demoStaged
Sol
  1. 1Street-level speechSpeech
  2. 2Local expert writingText
  3. 3Restaurant kitchenVideo

Real-world, not off the shelf

Collected during real conversations, workdays and shifts, with the noise, variety and context models meet in deployment. Every sample is tagged by country, domain and setting.

sample_0412 · step 1 / 4
Collected by the networkOn brief
Technical checksPassed
Post-processingLabeled
Human reviewApproved
Approved · added to dataset

How we collect

Our collaborators record to your brief with our own capture tools. Every sample clears automated checks, our post-processing and a human review before it reaches a dataset.

›
wherelanguage = es-PESpeechconversational · transcribedReady
wheredomain = invoicingWorkflowsscreen · actions · narrationReady
wheredataset = yoursCustom collectionscoped per projectScoped

What you get

Tell us the languages, domains and modalities you need. We scope, collect and deliver a private dataset that keeps growing. Start with a sample.

See the data before you commit.

Tell us what your models need to learn. We’ll put together a sample from the network, then scale it into a dataset that keeps growing.

Request a sample
  1. 01Define the languages, domains and modalities
  2. 02Review a sample set
  3. 03Scale into a live dataset

The data your models are missing, collected on demand.