The operating layer for advanced robot autonomy

We are building the cloud platform and autonomy systems enabling teams to transform real-world data into production-grade robot behavior.

THE PLATFORM

A unified backend for data, operations, and change control

The platform pilot provides edge-to-cloud ingestion, structured cataloging, bounded multi-stream retrieval, and MCAP import and export. SDKs in Python, Rust, and TypeScript and a web-based console support integration, inspection, and data management. Teams can validate with both live streams and historical recordings.

Generic data platforms are not equipped for robotics. Robotics data is multidimensional, involving time, device identity, safety boundaries, and operational evidence. LatentWorlds treats these as core to the platform's architecture. We have engineered an ingestion system for fast, resilient uploads in bad connectivity conditions, and offer advanced compression for different sensor modalities.

AUTONOMY RESEARCH AND DEPLOYMENT

World models for robots that have to work

Classical perception, planning, and control approaches struggle with mundane uncertainty.

We are developing an autonomy stack grounded on robust world models that enable robots to predict the consequences of their actions and make decisions based on past experience. We are using the platform to create a data flywheel where each deployment provides data for the next.

TRUST

Production-level security and control

LatentWorlds enforces access control at the organization and project level, with defined roles, encrypted API traffic, and device authentication. Our multitenant architecture ensures that data is accessible only within the containing project and through fine-grained permissions.

Boundaries

  • Org and project-level access isolation
  • Separate identities for people, services, robots, and edge nodes

Access

  • Role-based access control with per-project API keys
  • Mutual TLS for all robot and edge-node ingestion

Audit

  • Audit logs for recordings, exports, incidents, and system changes
  • Configurable retention, deletion, and export policies

Data

  • Default managed cloud storage, or customer-hosted for full data ownership
  • Strict ownership and workflow separation for data in transit

PILOTS

Start with one focused pilot.

PILOT 01

Bring your data management to the cloud.

A focused platform pilot for robotics teams with growing data operations. Move ingestion, organization, retrieval, and export into a reliable cloud workflow.

Pilot capabilities

  • Purposefully engineered for reliable edge-to-cloud ingestion.
  • Browse, organize, and retrieve recordings from a web console.
  • Integrate with Python, Rust, and TypeScript SDKs.
  • Compress sensor data and import or export MCAP files.

PILOT 02

Turn operations into reusable data.

A collection and curation pilot for factory, field, and robotics teams. Capture real operations, improve visibility, and prepare data for automation partners, simulation, or model training.

Pilot capabilities

  • Map machines, robots, sensors, cameras, logs, and operator workflows.
  • Instrument selected workflows with a capture plan that fits daily operations.
  • Clean, align, label, and package recordings for analysis, partners, simulation, or training.
  • Define data quality checks, ownership, and lineage for future scaling.

PILOT 03

Turn field data into robotic workers.

A selective automation pilot for teams with a real physical workflow. We build the automation stack and train models for the use case.

Pilot capabilities

  • Define a targeted automation task, success metric, and deployment path.
  • Train use-case-specific models from field data and demonstrations.
  • Build the automation stack around the workflow.
  • Prototype safety boundaries and measure progress in supervised rollouts.