Connect Kilnara to the robots, controls, sensors, and data systems already on your floor.
Kilnara is built for brownfield manufacturing: vendor robot arms, PLCs, industrial vision, MES data, cloud workloads, and the NVIDIA Physical AI stack.
Robot brands used by enterprise manufacturing teams.
Connect motion data, tool frames, safety zones, and policy outputs through vendor drivers and ROS 2 bridges.
Work with industrial controls without replacing them.
Read states, publish guarded commands, and preserve existing safety PLC and controller ownership.
Calibrate perception data into the twin.
Use depth cameras, industrial cameras, 3D scanners, and safety sensors to keep simulation aligned with production reality.
Bring production context into every retraining decision.
SKU mix, downtime events, quality outcomes, and line schedules help Kilnara generate the right scenarios and explain impact.
Run in cloud, VPC, on-prem, or air-gapped environments.
Use Kilnara-managed infrastructure for speed, a private cloud for enterprise controls, or a plant-local deployment where proprietary line data cannot leave the facility.
Aligned with the Physical AI stack.
Kilnara uses NVIDIA technologies where they make robotic learning loops faster, safer, and easier to deploy.
Omniverse
Collaborative simulation environment for live digital twin workflows.
Isaac Lab
Robot learning environments for policy training and evaluation.
Cosmos
World-model workflows for scenario generation and variation planning.
Jetson
Edge compute for low-latency inference beside robots and sensors.
TensorRT
Optimized perception and policy models for production latency targets.
ROS 2
Standard messaging and control integration for robotic cells.
Automate twin, training, and deployment workflows.
Use REST APIs and a Python SDK to register cells, query validation results, trigger simulation batches, and promote policies through your existing change-management process.
- ✓REST endpoints for cells, policies, runs, and approvals
- ✓Python SDK for simulation and training pipelines
- ✓Webhooks for MES, ticketing, and deployment events
from kilnara import Client
k = Client(cell="line-4/cell-2")
run = k.train.nightly(sku="A17", gate="production")
if run.validation.passed:
k.edge.promote(run.policy, approver="robotics")Connect safely, then expand depth over time.
Most deployments begin read-only, validate digital twin accuracy, then add guarded write paths for approved policy deployments.
Inventory
Map robots, controllers, sensors, data historians, and network zones.
Read-only sync
Stream state and telemetry into KilnSim without changing production behavior.
Guarded deploy
Enable approved policy promotion through PLC and robot safety constraints.
Bring your automation partners into the loop.
Kilnara works with robot integrators, controls engineers, and digital transformation teams to package repeatable deployment patterns.
System integrators
Reusable cell templates, validation recipes, and commissioning checklists.
Robot OEM teams
Bridge vendor kinematics, controller APIs, and edge runtime constraints.
Enterprise IT / OT
Network, identity, data residency, and audit requirements designed upfront.
Kilnara met our plant where it was: FANUC arms, Siemens PLCs, Cognex cameras, and a private Azure environment. The twin came online without disrupting production controls.
Show us your robotics stack.
We will map your robots, PLCs, cameras, MES, and cloud requirements to a Kilnara integration plan.