Qriton Flow

What happens in your company stays in your company.

Qriton Flow runs AI workflows on your own infrastructure. It connects your sources, applies the right model under your policies and delivers finished work, exactly once, with a record of every run.

Qriton Flow workflow editor with schedule and recent runs

A production system for AI work, not another chat window.

When a workflow carries your reporting, your communications or your compliance obligations, “usually works” is not a standard. Flow runs every scheduled task exactly once, recovers from failure and keeps a complete record.

It is in production today, running a public media-intelligence service every day, unattended.

What it does.

Exactly once

Retries, restarts and redundant servers never duplicate a message, posting or transaction.

Self-recovering

Interrupted work is detected, contained and resumed automatically.

Any model

Private, open-source or approved cloud models, in an order of preference, by policy.

How it works.

01

Connect

APIs, data feeds, documents and PDFs, and your internal systems.

02

Apply policy

Models, budgets, schedules, review gates and data boundaries for each step.

03

Deliver

Live web reports, email, documents or downstream systems, with the run recorded.

At a glance.

Runs on
Your server, datacentre or private cloud. Air-gap ready with a private model.
Models
Open-source models on your own hardware, and OpenAI and Anthropic where your policy allows, with automatic fallback.
Inputs
APIs, data feeds, documents and PDFs, internal systems.
Outputs
Live web reports, email, documents and downstream systems.
Controls
Sign-on through your identity provider, per-system keys, encryption under your keys, outbound access restricted by default, budgets.

Questions.

Where does Flow run?
On infrastructure you control: your own server, your datacentre or your private cloud. With a private model, a workflow runs without any external connection.
Which models can we use?
Open-source models of your choice, and providers such as OpenAI and Anthropic where your policy allows, in any combination.
What does “exactly once” mean?
Across retries, restarts and redundant servers, each scheduled task runs a single time, so nothing is sent, posted or charged twice.

Bring us the decision that has to be right.

BriefingPilot on your dataProduction