Tools + ontology

Your job, drawn as a graph.

Run it as a checkpointed DAG. Inspect every node.

The problem

A long workflow is a black box.

If step six goes wrong, you find out at step ten.

You can't price what you can't see.

What it does

Plan it. Price it. Check it.

  • See the plan before the job runs.
  • Price it. A job you can plan is a job you can quote.
  • Inspect every node's output.
  • Resume, don't restart. Each step is checkpointed.
  • Your data is stored in the ontology manifold.
A job drawn as a graph
Each step's result is savedEvery node can be inspected
Illustrative: a job drawn as a graph.
Questions

Quick answers

What is a checkpointed DAG?

A graph of steps where each step's result is saved, so a job can be inspected and resumed instead of restarted.

Why does a graph help with pricing?

A job drawn as a graph has steps you can see and plan before it runs.

The system

Four parts. One quote.

Controller

Kills failing runs early.

Read more →

Boards

One board for every agent.

Read more →

Model packs

The right model for each step.

Read more →

Have a task? Get a quote.

Early access available now.