Cloud
Praecise Silo
A microVM for every agent: its own kernel, its own disk, and no network.
Praecise CloudOperated on machines Praecise owns
Bring the workload. We run the infrastructure.
Praecise Cloud runs apps, agents, models and data on machines Praecise owns and operates. Bring the source; it is built, placed, watched and kept running. Every agent can have its own microVM, its own inbox and a way to pay.
Source in. A running system out.
01
Everything an AI workload needs.(6)
Six primitives, each with one way in. An app asks for a database, an agent for a model and a silo, a training job for a whole GPU node, and the infrastructure underneath is provisioned rather than assembled.
- 01
Apps
Node and Python frameworks and static sites, built from a folder, a repository or an export, and placed behind the edge with certificates and routing done.
- 02
Agents
Run an agent as a chat interface, a REST API, an MCP server or an A2A peer. Praecise Harness is the open framework underneath, so the same agent runs anywhere the Harness does.
- 03
Models
Call managed models through one interface or bring your own endpoints and keys. Praecise Engine serves models on Praecise hardware.
- 04
Data
SQL, document, vector and time-series stores and object storage, provisioned beside the workload that uses them.
- 05
Machines
Virtual machines with fixed CPU, memory and disk, and whole GPU nodes on Praecise Metal for training and heavy inference.
- 06
Automations
Durable workflows that wait for events, stop for a person to approve and resume where they left off.
02
Services for the agent era.(4)
Named services on the same platform, each giving an agent something it works with: a computer of its own, an address, a job to do and a way to pay.
03
From source to a running system.
Three steps, the same for every workload.
Build
Bring the source.
A folder, a repository, a container or a static export. The platform reads what it is and builds a release on machines Praecise operates.
Place
Traffic, certificates, storage, compute.
The release is placed behind the edge, with its domain, certificate, data and the size of machine it needs.
Operate
Watched, kept, reversible.
Health is checked before a release takes traffic, earlier releases are kept, and any deployment can be rolled back.
04
Built on the stack we build.
One stack, owned and operated from the machine up.
It runs on Furcate, the open operating system Praecise develops, on servers and GPU nodes Praecise owns and operates as Praecise Metal. What we measure on that hardware is what we use to run your workloads.
05
Your workload, your choice of where.
One deployment, three places to run it.
On your machines
Furcate, at home or in the office.
The same deployment runs on Furcate machines you own, Praecise hardware or anyone else’s.
On Praecise Metal
Dedicated, and still yours to run.
Whole servers and GPU nodes, for workloads that need predictable capacity.
On Praecise Cloud
Operated for you.
Hand it over and Praecise runs it. Move between the three without rewriting the application.
06
Place your first workload.
Early workloads are placed by conversation. Say what you run and where it runs today, and we reply with what it takes to run it on Praecise Cloud.