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Inside your boundary

Intelligence,
on your terms.pureWRIGHT is the complete agentic system for the enterprise.

pureBOT does the work, pureMIND remembers everything, and pureMEND repairs what breaks, inside the boundaries you set.

Meet pureWRIGHT
The idea in 30 seconds

Nothing is
learned twice.

Each task leaves a record that every part can use.

  1. 01
    Do the work.

    pureBOT plans, acts and checks the result, within your approval policy.

  2. 02
    Keep the lesson.

    pureMIND keeps the experience with its source, ready for the next task.

  3. 03
    Recover, and keep the fix.

    pureMEND applies the fix it has seen work, verifies the recovery, and writes the lesson back to the shared record.

The animation is an illustration of the system, not live operational data.

Built on infrastructure we own.
We run our own company on it.

Fig. 01 / The connected system
KnowledgeAutonomy
Work
Memory
Repair
Three parts. One system.
Explore
Built to be yours
  • Your infrastructure
  • Your approval policy
  • A record you own
How it is governed
The system

The whole is
more capable.

Doing, remembering, recovering. Three parts that share one memory and one approval policy. What one learns, the others know.

Hand it a task, not a procedure. It plans, picks the model and the tools, checks its own output, and comes back with the result. It asks first wherever you have reserved the decision.

Explore pureBOT
  1. Intent
  2. Plan
  3. Action
  4. Verified result

In production today

We run our company on it.

Each of these is the system at work today.

  • An application · for clients

    Argus intelligence briefs

    Argus is built on pureWRIGHT. It reads filings, funding news, hiring signals, and public reporting, and writes assessed briefs on the companies a client tracks, every claim traced to its source. In production for clients since June 2026.

    See a sample brief

  • For the lab

    A fleet that repairs itself

    pureMEND operates the lab's own NVIDIA Blackwell fleet. It takes every fault the monitoring raises, replays the fixes it has seen work, investigates the rest, and asks a person only before the actions reserved for people.

    How it repairs

  • For the company

    A company run on its own system

    pureBOT takes PureTensor's own work, from research and drafting to reports and operations, routes each task to the right model and tools, and holds reserved decisions for a person. pureMIND keeps what the company learns in one record.

    What an engagement looks like

Under your control

Governed by design.

pureWRIGHT is deployed inside your boundary and held there by three controls.

  1. 01

    Approval gates

    Every class of action is allowed, approved, or denied by a policy you set. Anything in the approve class waits for a named person, with a time limit, and the decision is logged whichever way it goes.

  2. 02

    Hold states

    When the system cannot cure something, it parks the problem, stops trying, and says so. It does not retry its way into a worse state, and it looks again only when the hold expires.

  3. 03

    Attributable actions

    Every action is written to the record with what prompted it, what was done, and what was verified afterwards. An auditor reads the same ledger the system does.

And it stays yours

It runs on hardware or cloud accounts you control. Its record is plain files in a repository you can read, move, or delete, and nothing it learns is shared, resold, or used to train someone else's model.

How it is deployedTalk to our engineers
Power, with perspectiveThe PureTensor approach

The future should
feel like yours.

We believe intelligence is more useful when you can understand it, govern it, and keep what it learns.

That is why we built pureWRIGHT on infrastructure we own and use it to run our own company. The system we build for others is the one we rely on ourselves.

Read the research behind it
  • Built from first principles.
  • Measured in practice.
  • Intelligence, Distilled.

PureTensor Lab

The research behind it.

PureTensor is a research lab, and its research converges on one product. The lab publishes what it measures, including the results that went against us.

  • 90

    papers published in From the Lab

  • 4

    research programmes, one for each part and one for voice and language

    AutonomyMemorySelf-repairVoice & Language

  • Measured on a fleet the lab owns. Where a hosted model is used, the paper names it.

Latest from the lab

Enter PureTensor LabAll research
The company

A lab with one product.

PureTensor builds pureWRIGHT and runs its own company on it. The research, the fleet and the product belong to one company.

The team
Company
PureTensor, Inc.
A Delaware C-corporation.
Headquarters
Santa Clara, California
United States.
Founder
Heimir Helgason
Founder & Chief Architect.
Membership
NVIDIA Inception
Program member.

  • The product is software

    pureWRIGHT is deployed inside the customer's boundary, on hardware or cloud accounts the customer controls.

    How it is deployed

  • Proven on a fleet we own

    NVIDIA Blackwell compute, a 400G RDMA fabric and petascale distributed storage. The fleet is where the system is proven; it is not for rent.

    The proving ground

  • Research in the open

    Findings, benchmarks and post-mortems are published, including the failures.

    From the Lab

Let's make it real

What would you
like to hand over?

Tell us about the work you want to hand over and the boundary it has to stay inside. Research, investment, press, and hiring enquiries are welcome too.

[email protected]

Name and work email are required.