Requirements-driven
your model and deployment problem come first
Real-world training data for robotics and embodied 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
Trusted data for real-world intelligence
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.
Data Capabilities
Every Physical AI system has different tasks, embodiments, environments and sensor requirements. We configure the data program around those differences.
Customer-defined collection for task, environment, embodiment and geography.
First-person, external-view and action-oriented demonstrations for embodied intelligence.
Video, depth, IMU, EMG and other task-relevant sensing.
How We Work
Define the model objective, target task, environment and data requirement.
Design the protocol, modalities, participants and acceptance criteria.
Coordinate field operations, participants, equipment and in-process quality control.
Review data against quality, completeness, rights and compliance criteria.
Quality & Compliance
Rights, consent, privacy, traceability, secure handling and QA are addressed before execution begins.
Explore Quality & ComplianceWe start with the customer's model, task and deployment problem.
Data programs are designed as engineering systems, not ad-hoc collection exercises.
Specifications, qualified partners, QA and project controls govern execution.
Rights, provenance, compliance and transparent communication are built into delivery.
Project evidence
These public samples demonstrate task coverage and metadata. They are not presented as customer outcomes.
Public data evidence

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

Task-level video evidence across fine assembly, fitting, soldering, testing, and handling operations in electronics production.
Selected evidence
21 public evidence clips
Related engineering capability
PandectAI also supports selected factory automation and industrial engineering requirements through accountable project delivery.
Start with the real requirement
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