Permissioned access to the physical world for AI.
FieldRights gives AI and robotics companies structured access to closed commercial environments for real-world data collection.
Owner-level relationships and local operating networks provide the environment. You specify the tasks and capture methodology. We handle access and on-the-ground execution.
Current pipeline: an active pilot and a 1,400-worker site committed for expansion.
Physical AI has an access problem.
Real-world human-task data cannot be scraped from the internet. It has to be generated inside real environments — factories, workshops and warehouses that are fragmented, privately controlled and difficult for AI companies to reach at scale.
That is the bottleneck FieldRights is built to solve.
The scarce asset is the environment.
Capture technologies will change. The requirement for permissioned access to real human activity will not.
FieldRights is capture-method agnostic. Our role is the environments, the relationships and the operating infrastructure required to generate real-world physical-AI data.
Large-scale access to diverse, consented human-task environments is the infrastructure layer we are building.
The data gap
Physical AI needs real-world task data.
~300,000 hours of global robot manipulation data exist, against ~1 billion hours of internet video and ~300 trillion text tokens.
Source: Bessemer Venture Partners, April 2026
Data must be generated environment by environment
Robot data cannot simply be scraped. It has to be captured through real tasks in real places.
Source: Bessemer Venture Partners
The bottleneck is access to real operations.
Leading labs need 100 million to 1 billion hours of egocentric pre-training data in the next 2–3 years.
Source: Stellaris
Control the environment, control the corpus.
NVIDIA EgoScale (February 2026): robot policy performance scales predictably with egocentric pre-training data — the first proof robotics follows LLM-style scaling laws.
Source: NVIDIA / Bessemer Venture Partners
Simulation still needs real-world anchors.
As labs lean on simulation and world models, real operating environments are what ground, calibrate and test them.
Operating in the real world.
FieldRights is executing its initial industrial pilot programme and building a portfolio of permissioned commercial environments across Europe and the Middle East. The current pipeline spans manufacturing, food production, packaging, warehousing and other task-rich operating environments.
Active pilot supporting real-world egocentric capture and operational testing.
Large-scale manufacturing environment committed for expansion on successful proof of concept.
Owner-level relationships and local operating capability across multiple commercial sectors.
Illustrative — product is not AI ready.
Raw sample footage from active pilot sites. Capture methodology is being refined.
Footage from active pilot sites.
Team
Philipp brings over 15 years of experience advising on and executing investments in real assets and operating businesses. He built and managed a sizable portfolio with principal capital and maintains a trusted network across private capital, operators and industrial owners in Europe and the Middle East.
Ihor has over five years of experience across light industry, trading and innovation, with extensive relationships across the manufacturing sector. He develops and brings to market both proprietary products under his own brand and white-label products for third parties.
Bring us the data requirement.
Tell us the environment, tasks and capture methodology you need. We will determine whether our operating network can provide the access.
contact@fieldrights.com