Intent2Intel
What does this outcome need?
Plan the right mix of models, data, deterministic tools and human review. Make placement, constraints and verification part of the plan.
Under active developmentIndependent intelligence. Human direction.
Your data. Your compute. Your decisions.
We’re building the systems that bring them together.
Private intelligence, governed execution and thoughtful experiences. Built around the work you need to get done.
In development. Welcoming conversations with early design partners.
Architecture illustration · not a live execution
01 / A different starting point
An outcome might need a small specialist model, a database query, a frontier model or a person’s judgment. We’re building a platform to make those choices explicit.
The goal, constraints and decisions belong to the ongoing activity. Switching a model should preserve the thread of your work.
Local devices, private infrastructure and approved cloud services each have a place. Data boundaries should be a deliberate choice.
Know what was proposed, what was authorized and what actually happened. Useful intelligence should leave useful evidence.
02 / The AUMI platform
Independent compiler families, designed to work together through explicit contracts. Each solves a different part of the journey.
What does this outcome need?
Plan the right mix of models, data, deterministic tools and human review. Make placement, constraints and verification part of the plan.
Under active developmentHow should people experience it?
Compile interaction meaning into portable experience plans that preserve context, agency and human decisions across supported surfaces.
Under active developmentWhat should the infrastructure do?
Turn infrastructure state and operating intent into capacity, deployment and optimization plans with defined verification.
Under active developmentYOM — Your Own Memory. Our first product direction brings private memory and interactive work experiences above the compiler platform.
03 / Explore the idea
Different work calls for different arrangements. Explore three illustrative ways an AUMI workflow could be composed.
This diagram is an interactive explanation. It does not invoke a model or process business data.
Keep execution within your device.
Suitable tasks could use installed models, local records and deterministic tools. The workload stays within its admitted local boundary.
04 / Built around real work
We’re exploring focused applications with operators who know their workflows. Start with one useful outcome, then build on what the evidence shows.
Connect approved information and repeatable tasks, with clear ownership and meaningful human decisions.
DiscoveryExplore structured extraction, completeness checks and reviewed drafts around existing systems.
DiscoveryExplore personal and shared experiences with explicit source selection, participant controls and review.
Exploration05 / Beyond the first demo
Map the work, establish a baseline and define the outcome.
Qualify the plan, review the change and verify execution.
Observe, recover and update through evidence and controlled change.
Let’s start with something real
Bring a workflow, a constraint or a question. We’ll start there.
Early conversations and design partnerships.
Product and deployment availability is scoped individually.