DeepReach: Launch a real-world data business today
TL;DR: DeepReach is a global data network that equips local entrepreneurs with wearable devices to capture the real-world operation data for Physical AI training. By decentralizing collections across thousands of entrepreneurs who have access to local businesses, they provide high-diversity training data that cannot be accessed elsewhere. DeepReach already signed multiple-million-dollar contracts with frontier AI labs.
DeepReach is building a global network for real-world human data to train Physical AI.
We enable local entrepreneurs to operate data-collection businesses using our wearable capture devices, while we provide the hardware, software, QA, and customers.
The result is a distributed network that produces the diverse human demonstrations Physical AI labs cannot obtain anywhere else. Every new data partner expands the diversity and value of the network.
In just three months, DeepReach has helped 150+ entrepreneurs build data businesses employing 1,000+ local experts across 7 countries. Together, they’ve collected 500,000+ real-world operation clips, captured 150,000+ professional skill demonstrations, and secured several million dollars in customer contracts with frontier AI labs and robotics companies.
▶ Watch how it works: <https://youtu.be/q5mLwju5Q8U?si=CT3FHbNJaIteNXZD>
The Problem
Frontier AI is already learning from the physical world.
The challenge is no longer collecting data, it’s collecting diverse real-world data at scale.
Most companies solve this by building collection labs or hiring workers directly. Both approaches scale headcount, but neither scales access. The hardest part is reaching millions of real workplaces across different industries, countries, and working conditions.
Without that diversity, AI struggles to generalize beyond a small number of controlled environments.
What We Built
Instead of building another data collection company, we built a platform where entrepreneurs launch independent real-world data businesses.
DeepReach provides the wearable devices, software platform, quality infrastructure, customer demand, operational support, and payments. Entrepreneurs build and grow the businesses.
They recruit local experts, develop trusted relationships with local businesses, and continuously expand into new industries, communities, and real-world environments.
Every new business expands the platform’s reach into the physical world, creating access to places, people, and skills that centralized data collection simply can’t reach.
The result isn’t a larger workforce, it’s a growing ecosystem of independent data businesses that continuously expands the world’s supply of diverse real-world data for Physical AI.
Where We Are
In just three months:
- 150+ entrepreneurs have launched data businesses on DeepReach
- Those businesses now employ 1,000+ local experts across 7 countries
- 500,000+ real-world operation clips collected
- 150,000+ professional skill demonstrations captured
- Several million dollars in signed customer contracts with frontier AI labs and robotics companies
- Scaling toward 10,000+ devices across 20 countries
Where This Goes
Our model is simple: labs list the tasks and environments they need, our entrepreneurs pick up the orders and go record them, and every delivery makes the network more capable of fulfilling the next one. It also compounds into something bigger, what we call the Human Skill Library: a growing record of how people interact with the physical world.
Most of this knowledge has never been documented. It lives in the hands of experienced workers, passed down through practice rather than words, and it often disappears when they retire.
Our vision is to preserve and scale humanity's physical knowledge, so every AI system can learn from the collective experience of human work.
About Us
Tim built HireIO into a leading global workforce company with 15 millions in annual revenue, then founded Talex.ai, an AI-powered expert network, before starting DeepReach. Chris comes from a computer vision background. We discovered the problem firsthand while labeling data for robotics startups: the real bottleneck wasn’t annotation, it was capturing diverse real-world human skills at scale.
How You Can Help
If you’re building frontier AI systems and need more diverse real-world data, we’d love to talk.
If you’re an entrepreneur interested in building a real-world data business, applications are open here: www.deepreach.ai/join
Tim Li
Founder & CEO, DeepReach AI
[tim.li@deepreach.ai](mailto:tim.li@deepreach.ai)
