Private AI for manufacturing and job shops

Turn RFQs, spec sheets, and customer emails into quote-ready work without exposing your designs or customer IP.

We build private, auditable workflows that read RFQs, drawings, spec sheets, and customer emails, then prepare quote-ready records with proof, missing-info flags, and estimator approval.

Where the work gets stuck

Specs arrive in inconsistent formats

Every customer sends drawings, RFQs, and emails differently, and someone has to normalize the details.

Estimators lose time on admin

Senior people become the bottleneck because routine intake work blocks quote-ready judgment.

Customer IP is sensitive

You should not have to paste proprietary designs, specs, or customer requirements into public AI tools.

First workflows worth automating

Spec sheet reader

Extracts parts, dimensions, quantities, and requirements so your team spends less time on manual review.

BOM draft assistant

Prepares a draft Bill of Materials for estimator approval so senior staff focus on judgment.

RFQ intake assistant

Reads incoming requests, logs key details, and flags missing information before quoting stalls.

Built for proof, privacy, and predictable cost

Private data boundaries

Private workflows can run inside your AWS or GCP environment. Customer specs, tolerances, quoting logic, vendor knowledge, and estimator judgment stay under your control.

Predictable AI costs

Avoid billing surprises with clear workflow-based packages. We do not penalize you for using more AI like other vendors.

Preserve your operating know-how

You own the workflow and operating logic. As competitors adopt generic AI, your quoting process, production know-how, and hard-earned exceptions become a private advantage they cannot copy.

What we identify in the AI Strategy Chat

1. Ranked workflow opportunities

We identify the repetitive document, email, approval, and software-handoff work costing the most time.

2. Privacy and data-control plan

We map what can use public AI, what should stay private, and where approvals or client-controlled deployment are needed.

3. First workflow plan

A practical first-workflow plan with proof, approvals, write-backs, audit logs, and ROI tracking.

Armen Donigian, founder of Performance AI Lab

Armen Donigian

Founder, Performance AI Lab | Former Meta SuperIntelligence Lab

With 25 years in software engineering and enterprise infrastructure, I've built systems for some of the world's most demanding environments. I founded Performance AI Lab to bring private, auditable AI workflows that reduce manual work and preserve operating know-how to mid-market operators.

Frequently Asked Questions

Find the first manufacturing workflow worth automating.

If your team is buried in documents, emails, approvals, spreadsheets, or software handoffs, we can help identify the first workflow worth automating.

Book a Free AI Strategy Chat
Performance AI Lab

Private AI workflows for the work that falls between your documents, apps, approvals, and operating knowledge.

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