Might makes Wright.Introducing pureWRIGHT, the complete agentic system for the enterprise.
pureBOT does the work, pureMIND remembers everything, and pureMEND repairs what breaks. Hand it research, reporting and operations, inside your boundary, under approval gates you set. We run our own company on it.
Inside your boundary · Approval gates you set · A record you own
pureWRIGHT: one system, three parts
pureBOT, pureMIND and pureMEND share one memory and one approval policy. What one part learns, the others know, and what you forbid one, you have forbidden all three.
pureBOT does the work
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.
pureMIND remembers everything
Every brief, decision, correction, and lesson goes into one durable record, each entry with its source and its trust attached. Every part reads from it and writes back, so nothing is learned twice.
pureMEND repairs what breaks
It watches the estate it runs on, diagnoses faults, applies the fix it has seen work before, and wakes a person only for the calls that belong to people. Each failure it survives makes the next one cheaper.
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.
We run our own company on it
Every part of the system runs PureTensor's operations today, and Argus, one application of it, is sold to clients. Each part keeps a public engineering record, so the claim can be checked rather than trusted.
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.
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.
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.
It asks before it acts, wherever you tell it to
You decide which actions it may take alone, which wait for a named person, and which it may never take. Every action lands in a ledger your auditors can read.
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.
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.
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.
Proven on a fleet we own and run
The system is proven on infrastructure PureTensor owns: NVIDIA Blackwell compute, a 400G RDMA fabric, petascale distributed storage, and Kubernetes orchestration. pureMEND keeps it running, and the lab's research is measured on it. The fleet is where the system is proven; it is not for rent. Where a part calls a hosted model, its record names the model.
Compute
Current-generation NVIDIA Blackwell on AMD Zen 5 platforms with terabytes of DDR5 system memory.
- GPU node
- GPU node
- GPU node
- Ceph pool
- Ceph pool
- Ceph pool
- Ceph pool
Storage & Orchestration
Highly available erasure-coded storage pools with a dedicated storage fabric, and Kubernetes across the full stack.
Compute operated in the United Kingdom. Disaster recovery in Iceland.
From the Lab
The newest paper leads. Below it, every programme in the lab feeds one part of pureWRIGHT, with the papers behind each part, measured on our own fleet and published with the failures.
Learning From Its Own Answers: 27 Fine-Tunes of Small Open Models, and Why the Data's Source Mattered More Than the Adapter
Click Accuracy Picks the Wrong Browser Agent: Choosing a Self-Hosted Computer-Use Model on 39 Live Tasks
A Memory Layer With External Anchors: LongMemEval and LoCoMo on a Sovereign Retrieval Stack
An Immune System for a GPU Cluster: Building a Reflex Arc for Autonomous Self-Healing
One lab, one system
Every programme in the lab feeds one part of pureWRIGHT: autonomy for pureBOT, memory for pureMIND, self-repair for pureMEND, and voice for the way people hand it work.
Autonomy
How a system takes on real work: planning, choosing the model and the tools, checking its own output, and asking first where a person has reserved the call. The research behind pureBOT.
Explore the programmeMemory
How a system keeps everything it learns, with its source and trust attached, and recalls the right part at the right moment. The research behind pureMIND.
Explore the programmeSelf-repair
How a system notices its own faults, cures the ones it has seen before, and knows when to stop and call a person. The research behind pureMEND.
Explore the programmeVoice & Language
How people hand the system work by speaking, in the accents, dialects, and languages the large labs skip, on-device or on-premises.
Explore the programmeBuilt from first principles
We built pureWRIGHT to run our own company on: a system that does the work, remembers everything, and repairs itself, on infrastructure we own and understand completely. Every part is measured before it is claimed, and the failures are published with the fixes. What we deploy for others is what we run ourselves.
What We Believe
Own the stack
From NVIDIA silicon to Ceph storage to Kubernetes orchestration, we operate every layer. No black boxes.
Research in the open
Our findings, benchmarks, and post-mortems are published, including the failures. Science requires scrutiny.
Build what matters
We don’t chase benchmarks. We build systems that solve real problems for real organisations.

Heimir HelgasonLinkedIn ↗
Founder & Chief Architect
Designed and built PureTensor's AI platform from bare metal. 400G RDMA fabric, petascale distributed storage, NVIDIA Blackwell inference. Background in algorithmic trading, cross-border capital markets, and entrepreneurship. Deep expertise in autonomous agent systems, sovereign infrastructure design, and large-scale model deployment.

Ahmed W. KhalilLinkedIn ↗
Strategic Advisor
CFA charterholder with a career spanning top-tier international law, institutional capital allocation, and cross-border deal execution across EMEA. Advises on capital strategy, investor relations, and international market expansion.

Alan B. Apter
Advisory Board Member
Investment banker with over 40 years advising multinationals and corporate boards. Morgan Stanley, Merrill Lynch, Renaissance Capital, Eaglestone Group. Led the first NYSE-listed IPO from post-Soviet Russia. Columbia Law School. Founder of Bretalon Ltd.
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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.
Santa Clara, California · London, United Kingdom
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