Physical AI data infrastructure
The industrial data layer
for Physical AI.
Tyvori helps robotics teams acquire the real-world physical data their models can't easily get on their own. We source industrial environments, capture skilled tasks, failures and recovery behavior, and turn them into model-ready datasets.
Custom data acquisition for robotics, manipulation, humanoids, embodied AI, and industrial automation.
You build the intelligence. We supply the experience.
Tell us what physical skill your model needs to learn. Tyvori handles the physical-world data collection required to teach it.
The bottleneck
Physical AI has a data problem.
The internet gave language models billions of examples. Robots do not have that luxury.
The most valuable physical experiences happen inside factories, warehouses, workshops, service environments, and other real-world settings that are difficult to access and expensive to recreate.
The bottleneck is not just more data. It is the right physical experience.
How it works
Give us the task. We handle the physical world.
Define the skill
The robotics team tells Tyvori what physical behavior, environment, failure mode, or task distribution the model needs.
Source the environment
Tyvori identifies and coordinates access to relevant factories, warehouses, industrial facilities, operators, and physical workflows.
Design the collection
Define operators, objects, variation, sensors, success criteria, failures, metadata, and acceptance requirements.
Capture real-world behavior
Collect demonstrations in realistic environments using the required camera and sensor configuration.
Structure and validate
Segment, synchronize, annotate, classify outcomes, identify failure and recovery sequences, and perform QA.
Deliver model-ready data
Deliver structured data aligned to the robotics team's training and evaluation requirements.
Data programs
Built around the data your model actually needs.
Task coverage
Built for the physical tasks that matter.
Tyvori is not limited to a fixed dataset catalog. Programs are designed around the task your team needs.
Differentiation
Not another generic data vendor.
Generic data providers
- sell broad collections
- optimize for volume
- use staged or loosely controlled environments
- focus on successful demonstrations
- deliver predefined formats
We are building access to the physical world as infrastructure.
Failure & recovery
Success teaches the task. Failure teaches deployment.
Robots do not fail only because they have never seen the correct action. They fail because the world changes.
Objects slip.
Parts arrive misaligned.
Threads do not catch.
Connectors refuse to seat.
Tools jam.
Materials deform.
Workers recover from these situations instinctively. Tyvori captures those moments too.
Pilot program
Start with one hard physical skill.
Tyvori's pilot programs are designed to test whether external physical-data acquisition can accelerate your robotics program.
No large platform commitment. Start with the data bottleneck your team already has.
Industrial network
A growing network of real production environments.
Tyvori is building relationships with manufacturers, suppliers, warehouses, machine shops, service environments, and industrial operators to make hard-to-access physical workflows available for responsible AI data programs.
Long-term vision
From datasets to physical intelligence infrastructure.
Over time, Tyvori is building a structured representation of industrial skills:
Start the conversation
What physical data is hardest for your team to acquire?
If your robotics team has a physical task, environment, edge case, or failure mode that is difficult to collect internally, tell us what you need.
Tell Tyvori what you need