Kanasu is the infrastructure layer for physical AI. A single API abstracts any robot, drone, sensor, or autonomous system — so you build, simulate, deploy, and operate robotics applications the way you build for the web. Write your logic once; run it on the hardware you already have.
Every device in Kanasu is a live, programmable digital twin — a high-fidelity, canonical representation of a real machine. Choose one from the catalog, write against a uniform API, and the same code runs across mixed-vendor fleets. Hardware stops being the integration tax.
Legged platforms for autonomous patrol, inspection, and mapping over rough terrain and stairs. Drive locomotion, perception, and behavior through one twin — no vendor SDK archaeology.
One API. Any machine. Swap the twin — your code stays the same.
Teams burn months re-implementing the same low-level plumbing — drivers, transport, state, safety — before a single behavior ships. Kanasu gives you reusable building blocks for development, simulation, deployment, and operation behind one SDK. The path is always the same: select, simulate, deploy, operate.
Select a digital twin and start writing logic with the SDK. One abstraction spans quadrupeds, drones, industrial and open-source arms, and cameras.
Validate behavior against a high-fidelity twin before any hardware moves. The twin is your canonical state layer — in simulation and in the field alike.
Ship the exact same code to physical hardware through the edge runtime — with signed commands, over-the-air updates, and instant rollback when something looks wrong.
Run production fleets with live telemetry, teleoperation with full audit trails, observability across edge and cloud, and incident response when seconds matter.
// 1 — connect a twin from the public catalog import { Kanasu, twin } from "@kanasu/sdk"; const robot = await twin.connect("quadruped/atlas-q"); // 2 — write logic once; it runs on any hardware await robot.plan({ goal: "inspect substation bay-7", policy: "safety.keepout@v3", // signed infer: { fallback: ["vision-a", "vision-b"] } }); // 3 — validate in sim, then deploy to the edge await robot.simulate(); // high-fidelity twin await robot.deploy({ ota: true, rollback: true });
The next decade of software escapes the screen. The machines that inspect our infrastructure, move our inventory, and build our cities should be as easy to program as a web app — and as safe to operate as a regulated system. Kanasu makes the physical world addressable: every robot a twin, every twin a clean interface, every command signed, observable, and reversible. The same code that passes in simulation is the code that runs on the edge.
One coherent platform — not a drawer of disconnected tools. Each capability is a reusable block you compose into behaviors, and recompose across robots and sites.
One uniform API for any robot, drone, sensor, or autonomous system. Write once; run on the hardware you have and the hardware you buy next — mixed-vendor by default.
Every device is a live twin that serves as the canonical state layer — the single source of truth shared by simulation and the physical fleet, always in sync.
Take direct control when autonomy reaches its edge — with full audit trails on every human input, command, and handoff, so interventions are accountable.
Bring any model. Policy routing and fallback chains choose the right one per task and degrade gracefully when a provider or model is unavailable — no single point of failure.
Assemble behaviors from reusable blocks — perception, planning, control, safety — and recombine them across robots and sites without rewriting the stack.
Map spaces and sites once, then localize every robot against a shared, versioned model of the world — so the whole fleet agrees on where it is.
Coordinate mixed-vendor fleets across multiple sites from one control plane, under centralized governance — schedule, sequence, and deconflict at scale.
Every command is signed and attributable. Device identity, scoped permissions, and signed commands keep the fleet trustworthy from the cloud all the way to the actuator.
Stream telemetry, traces, and events from edge to cloud, so you can see what every machine is doing — and why — and catch drift before it becomes downtime.
Run thousands of scenarios against the high-fidelity twin before a single motor turns. Catch regressions in CI, not in the field — because the same code that passes in simulation is the exact code that ships to the edge.
Substations, pipelines, solar farms, and aircraft. Send robots and drones on hazardous, repetitive inspection routes and keep people out of harm's way. Operators report substantial cost reductions and safer inspections.
Inventory-scanning robots roam the aisles after hours, reconcile stock against the system of record, and flag gaps and misplacements before they cost a sale.
Track construction progress against the building model, surfacing deviations between what was designed and what was actually built — before they're poured into the schedule.
Stand up new lines and changeovers without re-integrating from scratch. Behavior lives in code and simulation, so a new product is a deploy — not a rebuild.
Autonomous patrol and physical security across perimeters and facilities, with teleoperation handoff and an audit trail for every intervention and alert.
Remote operators supervise and assist fleets from anywhere, stepping in only when judgment is required — every assist logged, signed, and replayable.
The same system meets each discipline where it is — without forcing anyone to become a roboticist or a platform engineer to ship.
Ship robotics features with web-grade ergonomics: an SDK, a CLI, simulation, and clean APIs — no driver archaeology required.
Keep determinism at the edge while abstracting the boilerplate. Focus on behavior, safety, and control — not transport and glue code.
Deploy models behind policy routing and fallback chains, validate them against high-fidelity twins, and watch them run in production.
Govern mixed-vendor fleets across sites with centralized identity, signed commands, observability, and safety as defaults.
The same code path takes you from a single robot on a bench to thousands in production. Mixed-vendor fleets, multiple sites, centralized governance, safety by default, and edge determinism — so scale becomes a setting, not a rewrite.
Kanasu is built to be built on. Get the access, the docs, and the people that take a project from a single demonstration to a production fleet.
Early access, deep documentation, and direct support as you take a project from a first demo to a fleet — with the building blocks, not just the API.
See what builders are shipping on Kanasu and publish your own — from a single inspection route to full multi-robot orchestrations across sites.
Workshops, build sessions, and meetups across our Europe and US communities — for the people building the physical-AI layer, together.
Tell us what you want to automate. We'll help you go from catalog to a running fleet — starting with a single robot.