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Local compute. Private.
Keep the core work in a configured local environment instead of sending every question away.
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01 / Portable multi-user AI server
CobyAI II Triple Tri-Node. Portable Domatrix.
Your terminal is the server.
A portable private-compute appliance with three independent analytical paths, local knowledge, controlled model work, and room for the whole team.
Product Route / Build now
Own the portable server. Now.
Build the configured Triple Tri-Node Portable Domatrix for a current product price of $62,995. A 60% deposit initiates the build, configuration, and delivery path.
03 / Problem architecture
The problem is not access. It is context. Control.
When the team has to repeatedly explain the same work, the system loses the value of the people who built it. The portable Domatrix keeps the operating context close to the people responsible for the result.
It creates a private environment for model work, local knowledge, independent analysis, and a reviewable path from question to decision.
- STOP REPEATINGKeep the working context available to the people who are allowed to use it.
- SEPARATE THE PATHSRun independent analysis before the room settles on an answer.
- RETAIN THE RECORDPreserve sources, differences, decisions, and human review.
04 / System architecture
A laptop becomes a server. Governed.
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Shared room. Controlled.
Serve multiple authorized users from one governed appliance and knowledge environment.
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Reviewable paths. Visible.
Compare independent work, challenge evidence, and preserve the route to the result.
05 / Model architecture
Put more models in the room. Governed.
The model layer is configured around the work. Each model family can have a defined role in the analytical path rather than being treated as an undifferentiated list of tools.
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Google Gemma. Local.
Selected model family for controlled local workloads.
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Mistral. Open.
Configured for the analytical role the work requires.
// 003
Llama 3. Ready.
A model family available within the configured environment.
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DeepSeek. Focused.
Another analytical path available as configured.
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Qwen. Selected.
Use the model family that fits the evidence and task.
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NVIDIA acceleration. Fast.
Hardware acceleration for the workloads the appliance is built to carry.
06 / Knowledge architecture
Start with your intelligence. Then expand.
The base appliance can be expanded with specialty knowledge packages appropriate to the approved use case. Start with the institution's own intelligence, then add the specialty knowledge the institution actually needs.
Exact contents, licensing, update cadence, validation, provenance, and deployment method are established during implementation. No package is implied to be bundled, licensed, current, or automatically installed by this page.
Clinical and biomedical.
Literature, trials, terminology, guidelines, institutional protocols, and approved reference material.
Research and academic.
Scholarly metadata, institutional repositories, papers, datasets, and research libraries.
Legal and regulatory.
Jurisdiction-specific statutes, regulations, agency materials, contracts, and approved matter knowledge.
Safety and governance.
Cybersecurity frameworks, AI risk materials, safety guidance, controls, audits, and SOPs.
Engineering and technical.
Vendor documentation, APIs, manuals, runbooks, architecture records, and incident knowledge.
Institutional memory.
People, roles, decisions, workflows, services, evidence, provenance, and customer-owned knowledge.
07 / Control architecture
Security by architecture. Not decoration.
Air-gapped operationUse the strongest separation when the deployment requires it.
Cloud-gapped sharingShare the configured environment with the team without giving up control.
Encrypted storageUse local encryption and hardware-backed security as part of the appliance.
Permissioned contextDefine which knowledge, memory, and selectors each user can access.
Enterprise controlsConfigure authentication, device management, recovery, and administration.
Human reviewKeep people responsible for interpretation, decisions, and release.
08 / Mission briefing
Give the team a machine. Keep authority.
The Triple Tri-Node is built for teams that need more than a chat window. It gives the room local compute, selected models, controlled knowledge, and a repeatable path through the work.
That is the difference between borrowing intelligence and owning the environment where intelligence becomes useful.
STATUS: CONFIGURED
STATE: LOCAL SERVER
PATHS: THREE INDEPENDENT
REVIEW: HUMAN
Your terminal is the server.
Own Your Future.
// 09 / PORTABLE DOMATRIX PRINCIPLE
10 / Build path
From configured hardware. To useful.
Specify
Define the work, users, knowledge, and controls.
Configure
Select hardware, models, storage, and security.
Install
Build the local environment and approved knowledge layer.
Validate
Test access, retrieval, workloads, and review paths.
Deliver
Put the server in the room and keep improving it.
11 / Node roles
Three paths. One review. No shortcuts.
A
Analyze
// NODE / INDEPENDENT WORK
B
Challenge
// NODE / COMPARATIVE WORK
C
Synthesize
// NODE / REVIEWABLE RESULT
Product-relevant articles
Read the evidence. Then build.
// ARTICLE 01
The building ran out of doors.
Throughput changes when the constraint moves. The operation has to be made visible before it can be changed.
Read article → // ARTICLE 02The spreadsheet became a room.
A working record becomes infrastructure when the team can use it to see, decide, and act.
Read article → // ARTICLE 03Make the operation legible.
The job is not to carry every answer. The job is to build a system that lets the answer be found and reviewed.
Read article → // ARTICLE 04The dock is the control surface.
The physical operation is often where the system reveals what it needs next.
Read article →Build the portable server. $62,995.
A 60% deposit starts the configuration path for the CobyAI II Triple Tri-Node Portable Domatrix.
// 12 / PURCHASE ROUTE / 60% DEPOSIT