THE BRAIN
AI can understand and decide
Models reason across language, data, images, and operational context.
Our vision
AI is becoming the brain for digital work. Kilo gives it a professional operating layer for sensing, deciding, acting, and verifying across real infrastructure.
Explore Physical AI →The next interface
Generating an answer is not the same as opening a valve, changing a setpoint, or coordinating equipment across a live site. Physical action needs consistent device models, permissions, failure handling, verification, and a record of what happened.
THE BRAIN
Models reason across language, data, images, and operational context.
KILO
Kilo turns fragmented physical assets into governed observations and verifiable actions.
THE PHYSICAL WORLD
Buildings, fleets, actuators, cameras, and the systems people depend on.
Our mission
Kilo is model-agnostic infrastructure for AI model companies, agent platforms, and real-world operators. We connect intelligence to sensors, machines, buildings, fleets, and future robotic systems through one reliable IoT Server.
01
Normalize live signals and device state across protocols and manufacturers.
02
Give AI grounded operational context instead of disconnected raw payloads.
03
Execute typed, permissioned commands and production-tested automation.
04
Confirm outcomes, retain execution history, and restore known-good logic.
Built from real operations
Devices, connectivity, and the IoT Server can be used independently or together. That full-stack experience gives Kilo a practical understanding of what it takes to move from a physical signal to a reliable operational result.
01
Certified sensors, gateways, and modules from dozens of manufacturers — sourced, stocked, and shipped globally from our EU warehouse. Devices can be preconfigured before delivery.
→02
A scalable IoT platform with built-in LoRaWAN and mioty network servers, AI assistant, visual automation, and enterprise access control. Available as managed cloud or on-premise.
→How we build
01
Physical systems must fail visibly, recover predictably, and keep operators in control.
02
Automation should be simulated, debugged, versioned, and reviewed before it reaches production.
03
A command is not complete when it is sent; its outcome should be verified and recorded.
04
Choose your devices, protocols, connectivity, model provider, and deployment environment.
05
The same operational discipline should work for five devices or a global, multi-site fleet.
06
Permissions, approvals, and organization boundaries remain part of every consequential workflow.
Where we are going
Kilo already observes and operates connected infrastructure. Each new input and asset type expands what AI can understand and coordinate through the same controls.
AVAILABLE NOW
Telemetry, digital device models, rules, alarms, dashboards, APIs, and remote device commands.
EXPANDING NOW
External AI clients work through Kilo permissions and operational tools instead of connecting around the platform.
COMING SOON
Camera context joins sensors and device state to explain what is happening at a site.
LONG-TERM DIRECTION
The same execution layer can govern increasingly capable real-world systems.
The company behind the platform
Kilo is headquartered in the United States and operates globally. Our hardware and electronics division, Kilo Electronics, is based in Germany with warehouse and fulfillment operations across the EU — enabling fast shipping to customers worldwide. From device onboarding to fleet-scale operations, we work with companies of all sizes to simplify IoT deployment.
Use Kilo for a live deployment today, or make Kilo the physical-world execution layer for your AI platform.