THESystemic Cloud

One connected
system

Business tools, cloud infrastructure, and AI—designed to work together, so you spend less time connecting the pieces.

01 / CONNECTED WORK

Work changes shape.
Its context shouldn’t.

Keep the work, the tools it runs on, and the context behind each decision within reach.

Run the business.

Keep customers, projects, and billing together.

CONNECTED RECORDS
Customer

Contact details

Shared history
Project

Website refresh

Tasks & files
Invoice

Draft invoice

Project linked

Keep it running.

Host your website and test the applications your business depends on.

HOSTING & TESTS
WebsitePreview
mainBuild → Deploy
Test caseResult
Page loadsPass
Contact formPass
Booking flowReview

Understand what changed.

Bring business activity and infrastructure signals together to help investigate problems.

SHARED CONTEXTResearch
Customer activity
Website availability
What changed?

When bookings fall, see customer activity and website availability in the same context.

Explore the system

Start anywhere.
It still connects.

Avectes is being developed. Explore the platform’s direction and each area’s current stage.

In development

Business Operations

Your organization. Its work, connected.

Your organization and its business modulesAn organization connects directly to Contacts, Invoices, Contracts and Tasks. Shared branches indicate organization membership, not a sequence of work.Your organizationContactsInvoicesContractsTasks
Organization and modules
Planned

Developer Operations

From source code to the system behind it.

src / app.rsRust
use dioxus::prelude::*;

// Application view
#[component]
fn App() -> Element {
  rsx! {
    main {
      class: "app",
      h1 { "Build." }
      p { "Ship." }
    }
  }
}
$ cargo build --release
Source code and command
Research

Avectes AI

Exploring intelligence built for the system.

Conceptual neural-network illustration for model researchFour layers of circular neurons connected by fine lines. A single brighter route and one red neuron provide visual focus. This is not an actual AVM model architecture, learned weights or inference trace.
Neural network · Model research
02 / ENGINEERING

Built around connected work.

The platform’s shared model is designed to keep records, relationships and changes in context as work moves between tools.

Built with Rust, Dioxus and PostgreSQL.

Explore Engineering

Find your next step.

Start with what you need.

Talk to Avectes