Quettos processor concept with a brushed graphite die, precision gold contacts, and surrounding memory packages

A new architecture for agentic AI

Intelligence,
without
interruption.

Agents don’t work in straight lines.
Their silicon shouldn’t have to.

Purpose-built inference silicon. Model weights and session state stay resident. Your agents keep moving.

Built around the way agents work.

Resident weights Persistent sessions Continuous execution

01 / The agent loop

A different workload. A different machine.

Reason. Act. Observe.
Then do it again.

An agent reasons, uses a tool, and learns from the result. It repeats this loop with more context each time, until the task is done. We’re building silicon for that entire loop.

The anatomy of an agent

One continuous loop. State that stays.

Cycle 01
Agent executionExplore the loop
QuettosResident stateModel + session Kept close to compute

Repeat until the task is complete

In practiceFix a failing test
01 Reason

Work out what to try next.

Agent reasoning

“This test is failing. I’ll inspect the function it calls.”

The model uses the goal and everything learned so far to decide what to do next.

State stays resident

The model uses the session’s existing context.

01

Keep the model close.

Moving weights shouldn’t be the work. Keep them resident and ready for the next inference burst.

02

Remember the session.

A tool call shouldn’t mean starting over. Preserve context as agents move between thinking and doing.

03

Put the pauses to work.

When one agent waits on the outside world, let another use the machine. Design for the whole loop.

02 / The architecture

State is the starting point.

Keep state.
Keep moving.

We’re rethinking inference from the inside out. An architecture designed to keep the model and its live sessions warm, across every turn of the agent loop.

Concept macro photograph of exposed silicon with detailed gold contacts and surrounding memory
Designed for residency01 / Q

The residency principle

The next turn
starts here.

Work streams in. State stays close. A system designed around continuity, from memory to scheduling.

Resident model weights

Ready for the next inference burst.

Persistent session state

Context carried across the agent loop.

Workload-aware scheduling

Built for bursts, tool calls, and pauses.

Let’s look at your workload

03 / The hardware

One principle. Every scale.

From silicon.
To something bigger.

Keep state close. Keep the system simple.
A coherent vision from the die to the datacenter.

Macro concept rendering of exposed silicon and fine gold contactsQUETTOS / COMPUTE + RESIDENT STATE
01

Where intelligence lives

State, at the center.

An architecture designed to keep model weights and live session state close to compute. Built for the next turn, not just the next token.

Build with Quettos

The workload validation program

The next era
starts with
your workload.

Bring us your hardest agent trace.

We work with teams building serious agent systems. You bring a recorded workload. We study it with our performance model and show you where the opportunity is.

  • Utilization curves and energy analysis
  • Mutual NDA. Your trace stays yours.
  • Anonymized or schema-only captures welcome
Quettos™

The workload validation program

Big ideas.
Start a conversation.

Tell us what your agents are working on and where your current setup gets in the way.

Direct to the teamhello@quettos.ai
A few lines is all it takes.hello@quettos.ai
Let’s build around real work.