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.
Every customer sends drawings, RFQs, and emails differently, and someone has to normalize the details.
Senior people become the bottleneck because routine intake work blocks quote-ready judgment.
You should not have to paste proprietary designs, specs, or customer requirements into public AI tools.
Extracts parts, dimensions, quantities, and requirements so your team spends less time on manual review.
Prepares a draft Bill of Materials for estimator approval so senior staff focus on judgment.
Reads incoming requests, logs key details, and flags missing information before quoting stalls.
Private workflows can run inside your AWS or GCP environment. Customer specs, tolerances, quoting logic, vendor knowledge, and estimator judgment stay under your control.
Avoid billing surprises with clear workflow-based packages. We do not penalize you for using more AI like other vendors.
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.
We identify the repetitive document, email, approval, and software-handoff work costing the most time.
We map what can use public AI, what should stay private, and where approvals or client-controlled deployment are needed.
A practical first-workflow plan with proof, approvals, write-backs, audit logs, and ROI tracking.
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.
If your team is buried in documents, emails, approvals, spreadsheets, or software handoffs, we can help identify the first workflow worth automating.