Your engineers get the full power of modern AI — without your trade secrets, part numbers, or supplier data ever leaving your building. You control every word that goes in and every word that comes out.
Off-the-shelf AI tools are built for offices, not factories. They charge per seat, they store your inputs, and they know nothing about your parts, tolerances, or process. Worse — what you type in may train the next version of the model anyone can access.
Type a part specification, tolerance stack, or supplier term into a public AI tool and that data may be retained and used to train future versions — versions your competitors will access. A private proxy blocks this at the network level before the request ever leaves your server.
Public AI starts from zero every time. It doesn't know your Excel templates, your tolerance formats, your part families, or your inspection checklists. A purpose-built tool knows your data from day one and produces outputs that slot directly into your existing workflow.
Your team never creates an OpenAI account, signs a vendor agreement, or manages API credentials. Everything runs through one private server — managed by me, billed transparently based on actual usage.
This isn't a generic subscription you hand to your team and hope for the best. Every aspect of what reaches the AI — and what gets blocked — is configured specifically for your operation.
Provide a list of words, part numbers, supplier names, or any proprietary identifiers you never want leaving your network. The proxy strips them automatically from every request — no human review required.
Every query is logged with a timestamp, machine ID, and token count. You can audit exactly what was sent, when, and from which workstation at any time.
Each machine or user gets a unique access key. Add or revoke access instantly — no vendor portal, no ticket system. If a workstation is decommissioned, its key is gone in seconds.
Prevent runaway usage by capping how many requests any machine can make per hour. Spike protection is built in — no surprise overages from a runaway script or accidental loop.
GPT-4o for speed, Claude for longer reasoning, Gemini for cost-sensitive volume — or all three routed by task type. You're not locked into one provider. If a better model comes out, we switch.
The AI never needs your proprietary identifiers to answer the question. It reads the context around the redacted terms and gives a correct, useful answer — while your IP stays locked inside your network.
Most manufacturers think of AI as a chatbot. The reality is that modern AI models can read images, interpret handwriting, understand engineering drawings, parse measurement data, and generate formatted reports — all through a private server that your team controls. Here's a sample of what's already being built.
A photo or scan of a handwritten measurement sheet is sent to an AI vision model. It reads every value, matches it to the correct cell in your Excel template, and flags anything out of range — automatically.
Feed in raw inspection measurements and the AI formats them into a complete First Article Inspection report — headers, tables, pass/fail indicators, sign-off blocks — ready to send to a customer or auditor.
Shop traveler cards filled out by operators get scanned and processed. All field values are extracted and pushed into your ERP or tracking spreadsheet — no manual re-entry, no typos, no missing cells.
Describe an assembly condition in plain English — the AI interprets the tolerance chain, checks whether the assembly will fit, and explains the result clearly. No spreadsheet formula hunting required.
Upload a supplier cert, material cert, or quality plan as a PDF. The AI extracts the key fields — material grade, heat number, test results — and checks them against your acceptance criteria automatically.
Machine maintenance logs written by technicians often contain buried failure patterns. AI can read months of logs and surface recurring issues, missed PM intervals, or parts approaching end of life.
Compare a supplier quote against your last PO automatically. The AI flags line-item price changes, new charges, missing items, or terms that differ from the previous agreement — in seconds.
During an AS9100 or ISO audit, your team can query the AI about procedure requirements, clause interpretations, or gap analysis — all through the private proxy, with your internal document terms redacted.
Describe a non-conformance in plain language. The AI drafts a formal NCR — problem statement, disposition options, corrective action suggestions — in the format your quality system requires.
This list is a starting point, not a limit. If your engineers are copying numbers by hand, re-typing values from one system to another, or spending time formatting documents that follow a predictable structure — AI can take over that work. The question isn't whether AI can help. It's which process to automate first.
I build, host, and manage the entire system. Your team gets a tool that works on the first click — without touching a vendor contract, creating an AI account, or involving your IT department.
Every machine presents a unique key with each request. No key, no access — instantly revokable if a machine is retired or compromised.
Your blocked-term list runs on the server, not the client. Engineers don't have to remember what not to type — the proxy handles it silently on every request.
Every call is logged by machine, timestamp, and token count. You get transparent visibility into exactly what was used and when — down to the individual query.
One manufacturer was spending 30+ minutes per quality worksheet manually transcribing handwritten measurements into Excel. This tool replaced that entirely — running through the private proxy so no part data ever leaves the building.
Reads a scanned handwritten worksheet as a PDF, matches it to the correct Excel template by part number, sends the image through the private proxy to an AI vision model, and writes every value into the exact right cell — flagging out-of-range measurements in yellow for engineer review.
Deployed as a .exe on production machines. No Python. No setup. No IT involvement. Double-click and run — results land on the desktop in under a minute.
This is one example. The same infrastructure applies to any repetitive process: inspection records, traveler cards, dimensional reports, supplier certifications, audit checklists, NCR documentation, maintenance logs. If your engineers are copying numbers by hand or formatting the same document over and over — that's exactly what this is built for.
Every layer of this system is designed with one principle: your proprietary information never leaves your control. Here's exactly what's in place.
All traffic between your machines and the proxy server travels over HTTPS with an SSL certificate. No unencrypted data leaves your workstation.
Filtering happens on the proxy — not the client. Your engineers don't have to self-censor. The server handles it automatically on every single request.
Every workstation uses a unique key. Revoke a machine's access in seconds. No shared credentials that, if leaked, compromise your entire operation.
Every request logged with timestamp, machine ID, and token count. You can review the complete history of what was sent at any time — nothing is hidden.
Per-machine rate limits prevent runaway usage. A misconfigured script or accidental loop won't generate hundreds of requests before you notice.
The AI provider API key lives only on the proxy server. Your engineers' machines never see it, store it, or transmit it. It cannot be extracted from a factory floor workstation.
The backend Flask server is never directly accessible. Only the SSL-terminating front end is public-facing. The internal proxy port is firewalled off entirely.
Your employees never create accounts with OpenAI, Anthropic, or Google. No corporate credit card on a third-party platform. No terms of service your legal team has to review.
Tell me what's eating your engineers' time. I'll tell you whether AI can automate it, what the setup looks like, and what it would cost based on your actual usage.
Free 30-minute call. No commitment. Just an honest engineering conversation.