Real-world data for AI development

You build the intelligence.We capture the worldit learns from.

We design and run data collection for AI teams, from speech and device studies to expert work, human activity, and agent learning.

Our data trains and evaluates models at some of the world’s largest technology companies.

End clients stay confidential. References under NDA.

1,000+
participants coordinated across 3 countries in about three months
17
countries with collection project experience
300,000+
hours of egocentric video available through a collection partner
HK
Hong Kong office, with a US partner for international projects

Specific requirements.
Purpose-built data.

Speech & conversation

  • Dialects & accents
  • Paired conversations
  • Recording conditions
Speech & language AI

Device & environment data

  • Smartphone studies
  • Device-specific capture
  • Cabin interactions
Assistants & interfaces

Expert demonstrations

  • Scientific problem-solving
  • Professional workflows
  • Expert review
Model post-training

Human activity & egocentric video

  • Tool use
  • Workplace procedures
  • Physical tasks
View EgoField Atlas

Agent trajectories & RL environments

  • Action & tool-use traces
  • Real business workflows
  • RL environment packages
Agent learning

Recent programs.

Vehicle and bus cabin collection

Planned collection for vehicle and bus cabin settings.

Being organized

Global reach.
Local understanding.

Local relationships and coordination across languages, participant groups, and collection requirements.

Loading the world…
Drag to explore
Collection project experienceCountry-level locations

Across 5 regions

The people and places
behind the data.

Explore where we’ve coordinated collection projects. Select a country to bring it into view.

Hong Kong office. US partner: Edventure Media LLC. Experience built through local relationships. Every new collection is scoped around the brief.

Map: Natural Earth

From brief
to accepted delivery.

  • Documented consent from every participant
  • De-identified delivery where the scope allows
  • A pilot and acceptance criteria before scale
  • Written data terms for every project
01

Define the requirement.

Capability, participants, settings, and acceptance criteria.

02

Design and pilot.

Protocol, first cohort, and a sample validated with your team.

03

Run the collection.

People, locations, equipment, and local execution.

04

Validate and prepare.

Checked against your specification, annotated, and formatted.

05

Deliver and refine.

Accepted batches, closed gaps, and repeat collection.

What does your model
need to learn?

Send a short brief. We reply with questions or a call slot, then scope a pilot.

Send a briefhello@bracketbridge.com

Explore Bracketbridge

中文