Real-world training data for robotics and embodied AI

Real-world data engineered for Physical AI.

PandectAI engineers and executes the real-world data programs and factory systems that help intelligent machines learn, operate, and scale.

Built in Switzerland. Engineered for global Physical AI.

Requirements-driven

your model and deployment problem come first

Quality-led

specifications and acceptance criteria before execution

Compliance-conscious

rights, consent and governance built into design

Partner-enabled

project-specific operational and geographic capability

Tell us what your system needs to learn.

PandectAI works from the model objective, task, environment and deployment requirement to engineer an executable real-world data program.

Transforming real-world human expertise into engineered intelligence for Physical AI.

What PandectAI can provide.

Every Physical AI system has different tasks, embodiments, environments and sensor requirements. We configure the data program around those differences.

Custom Data Programs

Customer-defined collection for task, environment, embodiment and geography.

Human Demonstration & VLA Data

First-person, external-view and action-oriented demonstrations for embodied intelligence.

Multimodal Real-World Data

Video, depth, IMU, EMG and other task-relevant sensing.

Explore Data Capabilities

Every program is configured around your task, environment, embodiment, geography, sensor requirements and scale.

Explore Our Capabilities

From requirement to training-ready data.

01

Understand

Define the model objective, target task, environment and data requirement.

02

Engineer

Design the protocol, modalities, participants and acceptance criteria.

03

Execute

Coordinate field operations, participants, equipment and in-process quality control.

04

Validate

Review data against quality, completeness, rights and compliance criteria.

See how we work

Trust is engineered into every data program.

Rights, consent, privacy, traceability, secure handling and QA are addressed before execution begins.

Explore Quality & Compliance

Why PandectAI

01

Understand Deeply

We start with the customer's model, task and deployment problem.

02

Engineer Thoughtfully

Data programs are designed as engineering systems, not ad-hoc collection exercises.

03

Execute Reliably

Specifications, qualified partners, QA and project controls govern execution.

04

Build Trust

Rights, provenance, compliance and transparent communication are built into delivery.

Inspect the evidence. Understand the boundary.

These public samples demonstrate task coverage and metadata. They are not presented as customer outcomes.

Public data evidence

Close view of trouser hem sewing
Public data evidence Apparel and textiles

Apparel workflow capture across skilled manual tasks

Public task evidence covering sewing, garment handling, edge work, and other fine manual operations.

Selected evidence

9 public evidence clips

View case study
Hands assembling a hinge in an electronics workflow
Public data evidence Electronics manufacturing

Electronics assembly workflow capture

Task-level video evidence across fine assembly, fitting, soldering, testing, and handling operations in electronics production.

Selected evidence

21 public evidence clips

View case study

Industrial and robotics engineering.

PandectAI also supports selected factory automation and industrial engineering requirements through accountable project delivery.

Explore Factory Automation

Building a Physical AI system? Tell us what your model needs to learn.

Tell us the task, environment, collection challenge, and definition of success. We can work from your existing specification or help engineer the program from first principles.

Discuss Your Data Requirements