Engineered software · Portland, Oregon
MAX-PRO builds focused products for critical handoffs in engineering, operations, and AI systems. Our judgment is shaped by mechanical engineering and semiconductor field-service experience—where unclear state and late decisions become expensive.
Clear ownership Earlier validation Safer transitions
Start here
Start at the control point closest to your work: challenge a mechanical design, prove a deployment is ready, or stop an unsafe AI-agent action before execution.
Pre-release mechanical design assurance
Edit and compare machined-bracket revisions, expose impossible geometry, and rank preliminary release risk.
Deployment and operational assurance
Score 18 operational controls, expose critical blockers, and export a governed go-live decision pack.
AI-agent runtime control
Evaluate high-risk AI-agent actions before execution and preserve the decision as evidence.
The portfolio starts with firsthand experience of manufacturing handoffs, equipment interruptions, and accountable release decisions.
Meet MaxComplete catalog
Explore every MAX-PRO product, demo, release candidate, and pilot. Each one has a decision page with its scope, audience, workflow, current boundaries, and launch path.
LiveA public, usable build within the boundaries stated on its product page.
DemoA working demonstration of the workflow; production integrations are not implied.
Release candidateReady for evaluation, but not represented as generally available or certified.
PilotA bounded product evaluation intended for integration, learning, and feedback.
Prepare design intent, challenge mechanical risk, and preflight the manufacturing handoff.
Engineering release workspace
Turn working CAD and design intent into a controlled, reviewable handoff.
Pre-release mechanical design assurance
Edit and compare machined-bracket revisions, expose impossible geometry, and rank preliminary release risk.
CNC manufacturing validation
Catch release-package errors before they reach a programmer, supplier, or machine.
Prove operational improvements and connect demand to collected cash with accountable human decisions.
Evidence-driven operational improvement
Connect the problem signal, evidence, experiments, standard work, controls, and verified value.
Revenue operations for local services
Connect campaign source, lead quality, sales work, quotes, invoices, payments, and estimated job economics.
Control AI actions at runtime and turn organizational exposure into owned remediation.
AI-agent runtime control
Evaluate high-risk AI-agent actions before execution and preserve the decision as evidence.
Operational and digital risk
Move from risk visibility to owned, evidence-backed corrective action.
Train critical field judgment and prove that deployments are ready to operate.
Semiconductor field-service training
Practice diagnostic, safety, escalation, and reporting decisions before a real fab tool goes down.
Deployment and operational assurance
Score 18 operational controls, expose critical blockers, and export a governed go-live decision pack.
Build measurable professional knowledge and exam readiness.
Engineering exam readiness
Diagnose the FE Mechanical evidence costing points and identify the next focused study action.
Coordinate safer data movement, protection, and recovery without hiding platform limits.
Secure personal-data transitions
Plan how personal data moves, stays protected, and remains recoverable.
How we build
We narrow the problem before adding technology—then build the controls, feedback, and recovery paths the workflow actually needs.
Translate complex work into explicit stages, owners, decisions, and release conditions.
Place validation and safeguards around files and data that must arrive complete, consistent, and usable.
Protect continuity when assets, systems, or responsibility move from one state or owner to another.
Operating principles
Practical software earns trust by making the right action clearer and the costly mistake harder to make.
Show what is ready, what is blocked, and who owns the next decision.
Catch preventable problems before work crosses into a costlier or more exposed stage.
Automation should support accountable decisions, not hide them.
Critical work should remain understandable and recoverable when plans or systems change.
Founder
MAX-PRO LLC is an independent Portland software company building focused products for workflows where ambiguity becomes costly.
We work at the points of release, transfer, validation, and protection—where stronger controls create the greatest practical value.
Product pilots and design partnerships
Email MAX-PRO to start the conversation. Begin with what moves, who owns it, and where control breaks down.
max@maxprofoundry.comStart with the workflow—do not include confidential or regulated data in your first message.