Ask Your Files Anything.
Own the AI That Answers.

We install a private AI appliance in your office, connect it to the documents you approve, and train your team. Every answer cites the source passage it came from. One-time project price, no per-seat AI subscriptions.

  • Core processing on hardware you control
  • Installed and documented for you
  • Built around your files
  • Based in San Diego, remote and on-site options

What You Receive

Proof of the Work, Not Promises.

We are a new, founder-led San Diego company. You should not take claims on faith, so the engagement is built around verifiable deliverables you can inspect before and at handoff.

Every installation includes

  • A written scope agreed before anything is ordered
  • Written acceptance tests run on your agreed workflows
  • Named locations for your documents, index, models, and backups
  • User accounts and access settings configured to the agreed scope
  • A backup and restore test performed before handoff
  • A training session for your staff
  • A written ownership pack documenting your exact system
  • Stated support response expectations and clear exclusions

Hardware carries its manufacturer’s warranty. Our work is covered by the written scope and support terms in your proposal.

A Spark-class appliance on a desk beside a laptop
The hardware class we configure, on a real desk. Image: NVIDIA.

Your ownership pack contains

  • System overview and network placement
  • Every configured external connection, listed
  • User administration guide
  • Backup, restore, and update procedures
  • Model configuration and change log
  • Acceptance test results
  • Support boundaries and contacts

What Comes Ready To Use

One configured appliance, with the tools a real business uses every day. No assembly required.

Private AI Chat

  • Ask questions without sending prompts into another cloud tool
  • Draft, brainstorm, summarize, compare, and explain
  • Use from approved devices on your local network

Document Q&A

  • Ask questions across PDFs, policies, contracts, manuals, and notes
  • Answers include source references where possible
  • Built for real folders, not toy demos

Local Knowledge Base

  • Turn business files into a searchable private brain
  • Great for policies, SOPs, client files, templates, and archives
  • Organized for the way you actually work

Meeting Notes and Transcription

  • Summarize conversations locally when configured
  • Keep sensitive audio workflows under your control
  • Create action items and follow-ups

Workflow Profiles

  • Law, CPA, title, real estate, healthcare-adjacent, insurance, consultants, creators, and home users
  • Repeatable prompts and document flows
  • Built for daily use

Why Own It

Six Reasons Offices Buy Instead of Rent.

Cloud AI is genuinely good at some things. Here is the honest case for owning your AI system instead, with the fine print stated up front rather than hidden.

01

Customer-Controlled Processing

Core prompt processing, document retrieval, embeddings, and answer generation run on the system you own or control. Your questions and your files are handled by your machine, on your network.

Optional integrations, software updates, remote access, internet search, and temporary support sessions can communicate externally when you configure or authorize them. Every outbound connection is documented in your handoff pack.

02

Predictable Ownership Costs

You make a planned hardware and implementation investment instead of depending only on variable API bills or per-user subscriptions that can rise every year.

Local is not always cheaper. Real results depend on your user count, current subscriptions, API usage, model selection, hardware price, implementation cost, electricity, support, backups, hardware lifespan, and how heavily you use the system. We will run your numbers with you on a fit call.

03

Local Availability and Performance Control

Core usage runs on your local network with no internet round trip and no external provider rate limit on locally hosted inference. If your internet goes down, core chat and document Q&A keep working. Performance is sized around the hardware you purchase.

Actual speed depends on the model, quantization, hardware, context length, number of simultaneous users, and workload. We state expected performance for your configuration in writing.

04

Configured Around You

Compatible models, your document collections, user access, system instructions, backup policies, and supported integrations are configured around how your office actually works, then tested against your agreed use cases before handoff.

Not every model runs on every appliance. Model choices are matched to your hardware's memory, your workloads, and license terms during scoping.

05

Offline and Restricted-Network Options

Organizations with strict network policies can request an offline or restricted-network configuration as a separately scoped engagement, with update, model installation, and support procedures documented for that environment.

Standard installations are not air-gapped by default. An offline configuration also gives things up, such as internet search and convenient remote support, and we put those trade-offs in writing before you buy.

06

Reduced Vendor Dependence

Because the system is built on open-weight models, you may move among compatible models over time while keeping your hardware, your document index, your interface, your documentation, and your internal workflow.

This is reduced dependence, not zero dependence. Hardware compatibility, model licenses, open-source projects, integrations, and file formats can still create real dependencies.

Where Things Live

A Straight Map of Your Data.

No mystery diagram with glowing arrows. This is what stays on your system and exactly which optional connections can reach out, so you can decide what to allow.

Stays on your system

  • Your promptsProcessed on the appliance
  • Your documentsStored and indexed on the appliance
  • AI modelsInstalled on hardware you control
  • Answers and citationsGenerated on your local network
  • BackupsOn storage you choose, restore procedure documented

Communicates externally only when configured or authorized

  • Software updatesWhen you run or schedule them
  • Remote support sessionTemporary, only when you enable it
  • Internet searchOnly if you ask for it to be configured
  • Optional integrationsEach one disclosed and approved by you

Your handoff pack lists every configured connection for your exact installation. We do not claim your data never leaves unless your specific configuration has been scoped and tested to work that way.

01

Free Discovery Call

A focused 45 to 60 minute call to understand your files, users, goals, space, and budget.

02

System Plan and Quote

You get a clear recommendation, hardware approach, setup scope, and written quote.

03

Build and Configure

We configure private chat, document Q&A, users, models, security defaults, backups, and handoff docs.

04

Delivery and Walkthrough

Your system arrives ready to use, with owner training and a support window.

Three Ways To Own It.

Every system is scoped after a discovery call. Hardware is quoted separately when needed.

Setup Pack

For customers who already own compatible local AI hardware.

  • Software stack setup
  • Private chat
  • Document Q&A
  • Local network access
  • Basic backup and restore
  • Owner walkthrough
Book a 20-Minute Fit Call

Custom Local AI Build

For larger teams, heavier workflows, or special environments.

  • Scoped architecture
  • Department workflows
  • More storage or compute
  • Advanced support options
Book a 20-Minute Fit Call

Questions, Answered.

What is local AI?

Local AI runs the AI models on hardware you own or control, inside your own network, instead of sending your prompts and files to a cloud service. You get private chat, document Q&A, and workflow help on a system you can point at.

Can local AI match ChatGPT or Claude?

It depends on the model and the task, and we will tell you which is which. Frontier cloud models may outperform a local system on some complex tasks. Local models perform very well for private chat, drafting, summarization, extraction, classification, and document Q&A. Rather than leaning on public benchmarks, we run an acceptance test against your agreed use cases with your real workflows before handoff, so you see the system pass or fail on the work you actually do.

Which models can the system run?

It depends on the hardware's memory, the model's architecture and quantization, how much context your work needs, the model's license, and how many people use the system at once. Model families change too fast for a published list to stay accurate, so we recommend specific models during scoping, verified against the hardware we are quoting you.

Does a local AI system make my organization compliant?

No. Local processing can support goals like data minimization, custody, confidentiality, and governance, but it does not by itself establish HIPAA, GDPR, SOC 2, legal-ethics, or any other regulatory compliance. Those depend on your policies, procedures, and qualified advisors. We provide technology setup and documentation, not compliance certification or legal advice.

How does local AI compare financially with cloud AI?

Honestly, it depends. Local ownership can become favorable with sustained usage, multiple users, or expensive cloud workflows. Cloud services may cost less for low or occasional usage. Bring your real numbers, like user count, current AI subscriptions, and how heavily your team would use it, to a free fit call and we will run the comparison with you and tell you plainly which way it points.

Do I need an IT staff?

No, but the system is not maintenance-free and we will not pretend it is. We handle installation, configuration, user setup, backup configuration, documentation, and training. Afterward, someone still owns user changes, running backups and updates, applying security patches, and reacting to a hardware failure. Your ownership pack documents each task, and optional support plans exist if you would rather we handle updates, patches, and remote troubleshooting for you.

Can you install a specific model I want?

Often, yes. We first review your hardware's memory, the model's license, its context and performance characteristics, and whether it actually fits your workflows. If it fits, we install and test it. We do not promise every model on every appliance.

What happens when a new model is released?

We evaluate before we upgrade. A new model is checked for hardware compatibility, license terms, and behavior on your actual workflows, and your working model is never replaced automatically. If the new model tests better on your use cases, the upgrade is documented and your previous configuration remains restorable.

Does my data leave my office?

Core prompt processing, document indexing, and answer generation run on your local system. Optional connections such as software updates, temporary remote support, internet search, and integrations can communicate externally when you configure or authorize them, and each one is listed in your handoff pack. We do not claim data never leaves unless your specific configuration has been scoped and tested to operate that way.

Do I need a server room?

No. The appliance is compact and built for a desk, a shelf, or a small cabinet near your network. It is a product-scale system, not a data center project.

Can I use my existing hardware?

Often, yes. If you own a compatible local AI workstation, the Setup Pack configures the full software stack on it. We confirm compatibility during the discovery call.

How long does setup take?

It depends on scope. After the discovery call you get a clear timeline in writing alongside the quote, and the system arrives configured and ready to use.

Start here

Build Your Private AI System

Tell us about your work and your files. We review your goals and respond with clear next steps. No pressure, no obligation.

  • A focused discovery call, not a sales pitch
  • A written plan and quote scoped to you
  • Nothing ordered until you approve

We reply within one business day. Details like user count, hardware, and budget are covered on the call, not in this form.

Your AI. Your Files.
Your Rules.

Bring private AI into the place where your work already happens.