The physical and systems layer for AI.

Owned machines, placed, powered and cooled to measured targets. Measurement, forecasting, placement, power and thermal control, on Praecise Furcate. Praecise runs its own machines on it, and builds the same capability on metal its customers own. One ownership view covers core clusters and edge cells alike, from a home to a city. Everything above runs on it.

A local Linux machine for AI, agents, applications and services. The machine on the desk, in the studio or in the back office: enough compute to run models, agents and services where the work and the data already are. It runs Furcate and joins the same system as everything else you own, from the sensors in the room to the racks you rent.

Devices that observe the physical world: motion, environment, sound and more. Small devices that capture what happens in a place and sign it at the source, so an observation carries its origin with it. Sense devices sit at the leaf tier of a Furcate system and report to the machines around them, with no cloud in between.

Embedded compute for inference, control and real-time work. Compute next to the machines and devices it serves, for decisions that cannot wait for a round trip: inference on a sensor stream, control of equipment, a model answering in the room. It runs Furcate, keeps working when its link is cut and reports what it did.

Physical interfaces for people and agents: displays, controls and audio. The point where a person meets the system, and where an agent can be asked, answered and stopped: a display, a control, a speaker and a microphone. Interface devices join a Furcate system like any other machine, with an identity and a record.

One open operating system for machines that work together, at every tier. Furcate is a Linux operating system for devices, local machines and racks: identity held in hardware keys, workloads, storage, networking and coordination, with no central control plane to depend on. It is open source, Praecise develops and stewards it at furcate.org, and any hardware maker can build on it. It works best on Praecise hardware. Praecise Furcate adds tuned images, model serving, fleet operations and support, and runs a site as a cell that keeps working when its link is cut. The first cell runs today; more are coming.

Apps, agents, models and data, built from source and run on machines Praecise owns. Built from source, placed behind the edge, supervised and reversible, on hardware Praecise owns. Agents, models, data and machines run there too.

A microVM for every agent: its own kernel, its own disk, and no network. Each silo is a Firecracker microVM started for one agent on a machine Praecise owns, with Python, Node, Git and a compiler ready inside. The agent runs commands, or writes one program against the services the silo is bound to while the keys stay outside it, and every run returns a receipt of what ran and what came back. Nothing one silo does is visible to another, and nothing survives its deletion. Built on Silo in Furcate, and part of Praecise Cloud.

An address and a searchable record for every agent and person. Mailboxes for people and agents on a domain the business verified once, with everything said kept in one record a person can open and search.

Agents that run payments, accounting, commerce and mail inside limits you set. Connects payments, accounting, commerce and mail, and acts across them with permission, never ownership. Every run stays within limits the owner sets and leaves a record.

Payment rails for agents, including stablecoin settlement. Global payment orchestration: one programmable surface over virtual accounts, stablecoin conversion and cross-border payouts. Bridge and Stripe perform the regulated acts under their own licences.

A simulation is only as right as its cost model, and the only test of a cost model is measurement. Numbers on this site are cited to the file they came from.

An idea that was measured to do nothing stays documented, so it is not rebuilt. Absence is not evidence.

An unknown backend, an unlicensed drafter, a tool call outside the guard: each is an error that says what was valid, never a quiet fallback.

Which checkpoints an engine may load and which extensions a store may use are enforced where they are used. Both projects are Apache-2.0.

The Harness runs on your endpoints, your database and your storage. The Cloud is the managed side of the same app: the config gets shorter, the code does not change.