AI you can own, trust, and control.
Your business runs on data you promised to protect: client files, patient records, financials, contracts. I help you use AI without breaking that promise. Private AI systems on hardware you own, company knowledge bases that cite their sources, and honest evaluations before you trust a model with real work. No per-seat subscriptions that grow forever, no sending your clients' data to someone else's cloud, no black box you can't inspect. I build and run this exact stack for my own practice, every day.
What I Do
AI Privacy Assessment
One week, fixed price, starting at $1,500. I map what AI your team already uses (usually more than you think), where your data actually goes, which of your workloads could run privately, and what the hardware would cost you. You get a written report and a build-or-don't-build recommendation. If AI is the wrong answer for your business right now, the report says so and we're done. That honesty is the product.
Private AI Setup
Two to four weeks, fixed price, starting at $7,500. Hardware specification, local AI models deployed on machines you own, secure remote access for your team, and an evaluation suite proving the model handles your real work before you rely on it. Where a hybrid makes sense, I wire cloud fallback with explicit boundaries on what may leave the building. You keep everything when I leave: the hardware, the models, and a plain-language runbook. No lock-in, not even to me.
Company Brain
Phased engagement, fixed price per phase, starting at $20,000. Your documents, policies, and institutional knowledge, queryable in plain language, on hardware you own. Every answer cites the source document it came from or says it does not know. That provenance layer is the point: an AI that makes up answers about your own business is a liability, not a tool. I build this with the same integrity engineering I run on my own knowledge system.
After any build, an optional monthly care plan covers model updates, re-evaluation as your workloads change, new workflow wiring, and priority support. And every system ships with a handover runbook, so you are never dependent on me to keep running.
Results
My own private AI infrastructure
In 2026 I moved my own AI workloads off cloud APIs and onto hardware I own, because my knowledge system holds the most sensitive data I have: my own life. I sell what I operate.
- Deployed local AI models on my own Apple silicon server, reachable only over an encrypted private network, with full-disk encryption at rest.
- Built an evaluation harness before trusting it: on my production workload, the local model matched the frontier cloud model 20 out of 20 on my eval set before I switched.
- Engineered fail-open fallback routing, so eligible work runs private-first and degrades gracefully instead of breaking.
- Hardened it against the failure modes that kill real deployments: power loss, reboots, auto-start, and runtime updates. I found these by hitting them, then fixing them.
Independent Methodology Research
I built a first-principles evaluation framework and ran it across 9 models from 6 frontier families. Full methodology write-up in progress; findings not yet published or externally attested.
- Observed self-identity hallucination patterns in 4 of the 6 frontier model families tested: Anthropic, OpenAI, Google, and Mistral. (Methodology write-up pending publication.)
- This is the evaluation rigor behind every deployment I ship: models earn trust through testing on your workloads, not through vendor marketing.
Mir'at
Mir'at is my user-owned, local-first personal AI: a knowledge system that maintains itself with integrity. Its differentiator is the epistemic integrity layer: inline source citations, claim verification, contradiction detection, and confidence tracking. The Company Brain service applies this same engineering to your business's knowledge.
Why Me
I'll tell you when AI is the wrong answer.
Not every business needs a private AI system, and not every workload needs AI at all. My assessments recommend the least powerful tool that genuinely serves you, including "none," and when cloud AI under a proper agreement is honestly your best fit, I'll say that too. The evaluation comes before the build, and the recommendation is not tied to what I'd like to sell you.
I'm a developer with a decade in production.
Private AI is not just a model on a box. It's networking, security, backups, integration with your existing systems, and interfaces your staff will actually use. I've shipped production software for over ten years across startups, Fortune 500 companies, and non-profits, and I bring all of that to these builds, not just the AI parts.
Everything I ship is accessible.
I'm also an accessibility engineer, so every interface I deliver is built to WCAG standards from day one. Your whole team can use what I build, including your employees and customers with disabilities. See my digital accessibility engineering services.
Interested?
If your business handles data that can't leak and you want AI that respects that, I can help. Book a free 30-minute consultation. I'll listen first. If private AI isn't the right fit, I'll tell you that for free.
Email me