End-to-end infrastructure for training, scaling, and deploying AI.

01

AI Training Data Collection & Annotation

Image, video, audio, and text annotation, dataset collection, and quality-controlled labeling pipelines at scale.

  • Image, video, audio & text annotation
  • Custom labeling taxonomies per project
  • Multi-pass QA before delivery
02

Managed Workforce / BPO Operations

Access to our 500,000+ student & contributor network and 50,000+ trained AI contributors across India — scalable outsourcing operations for global clients.

  • 500,000+ contributor & student network
  • 50,000+ trained AI contributors in India
  • Elastic scaling up or down with demand
03

AI Model Development

DHUB's proprietary AI model development, built on our own annotated data and workforce insights.

  • Built using our own annotated data
  • Trained on DHUB's workforce-generated datasets
  • Roadmap shared openly with partners
04

Physical AI & Robotics

Development of Mark, our humanoid robot, and broader robotics/physical-AI R&D as an NVIDIA Inception member.

  • Mark, our humanoid robot, in active development
  • NVIDIA Inception program member
  • Physical-AI R&D beyond Mark alone
05

Global Outsourcing Projects

Flexible outsourcing engagements for AI, server, and humanoid-related projects for clients in USA, Germany, China, UK, Dubai, South Korea, Japan, and Australia.

  • Clients across 8 countries
  • AI, server & humanoid-related projects
  • Flexible engagement models
01
Scope

Define objectives, volume, and quality bar.

02
Source Workforce

Match your project to the right contributor pool.

03
Execute & QA

Run production with layered quality control.

04
Deliver at Scale

Ship results on schedule, at global scale.

Industries we work with

Autonomous Vehicles

Sensor fusion labeling and edge-case data for perception systems.

Healthcare AI

Carefully governed annotation for diagnostic and clinical models.

Retail & E-commerce

Product, catalog, and recommendation-model training data.

Finance & Fintech

Document processing and fraud-model data pipelines at scale.

Common Questions

Most engagements kick off within 1–2 weeks of scoping — we already have the workforce in place, so we're not hiring from scratch for your project.