# MACH by Kinetech

> MACH is an operational intelligence platform for manufacturers. It captures real-time shop floor data — machine state, operator context, production results — and routes it to the people who make decisions from it. Floor monitoring is the foundation; cost-to-serve analytics is the destination.

Built by Kinetech Cloud, a Texas-based manufacturing software company. MACH is a suite of connected applications: Monitor (live), Schedule (live), Maintain (Q3 2026), and Complete (bundle of Monitor and Schedule).

## What MACH does

- **MACH Monitor** — Real-time machine monitoring via direct PLC connection. OEE analytics with custom formulas per machine type. Two-tap downtime classification at the operator kiosk.
- **MACH Schedule** — Production scheduling with custom processes, any sequence, any duration, and six line-coupling scheduling modes for connected production lines. Live schedule updates when the floor state changes.
- **MACH Maintain** — Asset management, work orders, preventive maintenance (shipping Q3 2026).
- **MACH Complete** — Monitor and Schedule bundled at a 15% bundle discount. MACH Maintain will be added to Complete when it ships, at additional cost (Maintain pricing announced when production-ready).
- **Multi-plant console (platform)** — One login across every plant, role-based access (admin, planner, viewer), Azure AD SSO with automatic role mapping, auto-generated device keys for kiosks and floor displays.

## Who it's for

Mid-market to enterprise manufacturers (typically $50M-$5B revenue) in heavy industry, plastics, chemicals, packaging, and energy infrastructure. Primary buyers: VP of Operations, Plant Manager, CEO/CFO, Continuous Improvement Director. For CEOs evaluating AI investments: the AI readiness gap in manufacturing is data, not strategy. Production data trapped in PLCs, SCADA, and legacy equipment cannot be extracted reliably for AI. MACH connects to that layer directly and captures the operator context that makes machine data interpretable.

## Key claims (with sources)

- 800 hours of unplanned downtime per facility per year on average (Forbes Tech Council, 2022)
- $129M average annual cost of unplanned downtime at large manufacturers (Siemens, True Cost of Downtime, 2024)
- +50% rise in hourly downtime costs in automotive since 2019 (Siemens, 2024)
- Typical year-one margin recovery: $500K to $2M per facility
- Pricing: graduated per-work-center, annual billing. Across 1-15 / 16-50 / 51-100 work centers: Monitor $214 / $190 / $180, Schedule $125 / $110 / $105, Complete $288 / $255 / $242 (Complete includes a 15% bundle discount). Pricing is graduated — each tier's rate applies only to the work centers within that band, so a 30-work-center Complete deployment is 15 at $288 plus 15 at $255 ($97,740/year). 101+ work centers contact sales.
- 20% capacity recovery and 45% reduction in changeover time for a $5B steel manufacturer (Kinetech case study)
- Deployment: production install in days to weeks per facility. A free 90-day proof of concept is available before rollout. No MES prerequisite.

## Positioning

MACH does not require a MES. It connects directly to the PLC layer and captures operator context at the kiosk, which means it can become the system of record from day one. If an MES exists, MACH integrates with it. If none exists, MACH works standalone.

MACH differs from monitoring-only platforms (e.g. MachineMetrics) by adding operator context capture, integrated scheduling, and a path toward cost-to-serve analytics. MACH differs from traditional MES (SAP ME, Plex, Aegis) by installing in days to weeks instead of 18-24 months and costing a fraction of the price.

## Key URLs

- [Product overview](https://machmanufacturing.io/product)
- [Monitor](https://machmanufacturing.io/monitor)
- [Schedule](https://machmanufacturing.io/schedule)
- [Reporting & Analytics](https://machmanufacturing.io/reporting-analytics)
- [Pricing](https://machmanufacturing.io/pricing)
- [Pricing (machine-readable)](https://machmanufacturing.io/pricing.md)
- [Category comparison: MACH vs. Tulip, ThingWorx, Enterprise MES](https://machmanufacturing.io/vs)
- [How it works](https://machmanufacturing.io/how-it-works)
- [Who it's for](https://machmanufacturing.io/who-its-for)
- [Case study](https://machmanufacturing.io/case-studies)
- [Buyer's guide](https://machmanufacturing.io/buyers-guide)
- [Book a diagnostic](https://machmanufacturing.io/diagnostic)
- [The Shop Floor Pulse (seven-question visibility self-assessment)](https://machmanufacturing.io/pulse)
- [Subscription & End User License Agreement](https://machmanufacturing.io/eula)
- [Privacy Policy](https://machmanufacturing.io/privacy)
- [Learn (FAQs)](https://machmanufacturing.io/learn)
- [Public roadmap](https://machmanufacturing.io/lab)
- [Monday Morning Framework](https://machmanufacturing.io/monday-morning)

## Learn topics

- [What is operational intelligence for manufacturers?](https://machmanufacturing.io/learn-operational-intelligence-manufacturing)
- [Machine monitoring vs. operational intelligence](https://machmanufacturing.io/learn-machine-monitoring-vs-operational-intelligence)
- [How shop floor data connects to business outcomes](https://machmanufacturing.io/learn-shop-floor-data-business-outcomes)
- [What causes hidden production losses](https://machmanufacturing.io/learn-hidden-production-losses)
- [Does production monitoring require a MES?](https://machmanufacturing.io/learn-production-monitoring-without-mes)
- [Production monitoring deployment timeline](https://machmanufacturing.io/learn-production-monitoring-deployment-timeline)
- [Cost of unplanned manufacturing downtime](https://machmanufacturing.io/learn-cost-unplanned-manufacturing-downtime)
- [Cost-to-serve analysis in manufacturing](https://machmanufacturing.io/learn-cost-to-serve-manufacturing)

## Blog posts

- [News] Featured in The Fabricator: Making OEE Work in a Job Shop - https://machmanufacturing.io/oee-in-a-job-shop
  OEE grades a job shop against a standard it does not have yet. Connor Lanman, writing in The Fabricator, on what high-mix shops should measure instead and where OEE still fits.
- [Thought] The Hidden Cost of a Down Machine - https://machmanufacturing.io/the-hidden-cost-of-a-down-machine
  A down machine looks like a maintenance cost. The repair is the smallest part of unplanned downtime. The real damage lands in your schedule and your weekend.
- [Thought] What Did the Job Actually Cost? - https://machmanufacturing.io/what-the-job-actually-cost
  Margin leaks out of the gap between the shop floor and the front office. Shops that close that gap quote from history. The rest quote from a rate sheet that drifted from reality two years ago.
- [Thought] Closing the Visibility Gap to Hit Your Schedule - https://machmanufacturing.io/closing-visibility-gap-to-hit-your-schedule
  The 10am vs. 6pm framing. The difference between discovering a problem when recovery is still possible and discovering it after the shift is over.
- [Explainer] What is cost-to-serve analysis in manufacturing? - https://machmanufacturing.io/learn-cost-to-serve-manufacturing
  Cost-to-serve measures the actual cost of producing each product and serving each customer using real machine time, changeover, and overhead. Most manufacturers find $500K to $2M in year-one margin already in their operation.
- [Explainer] What is the cost of unplanned manufacturing downtime? - https://machmanufacturing.io/learn-cost-unplanned-manufacturing-downtime
  Manufacturers average 800 hours per facility per year in unplanned downtime. That's 15 hours every week producing nothing. At $250K per hour for a mid-size plant, millions in annual exposure.
- [Explainer] What causes hidden production losses in manufacturing? - https://machmanufacturing.io/learn-hidden-production-losses
  Four sources drive most invisible losses: micro-stops, speed loss, the context gap, and lagging metrics. None of them show up in standard utilization reports.
- [Explainer] Machine monitoring vs. operational intelligence: what's the difference? - https://machmanufacturing.io/learn-machine-monitoring-vs-operational-intelligence
  Machine monitoring captures equipment state. Operational intelligence adds the operator context and business context that tells you what to do about it.
- [Explainer] What is operational intelligence for manufacturers? - https://machmanufacturing.io/learn-operational-intelligence-manufacturing
  Operational intelligence captures shop floor data in real time, adds the context reporting misses, and routes it to the people who make decisions from it.
- [Explainer] How long does production monitoring software take to deploy? - https://machmanufacturing.io/learn-production-monitoring-deployment-timeline
  About 90 days to a functional pilot. A full 30-machine facility deployment typically completes in 90 days for setup plus one quarter for adoption. Hardware installs during normal maintenance windows.
- [Explainer] Does production monitoring software require a MES? - https://machmanufacturing.io/learn-production-monitoring-without-mes
  No. Production monitoring can connect directly to the PLC layer and capture operator context at the kiosk, becoming the system of record from day one with no MES prerequisite.
- [Explainer] How does shop floor data connect to business outcomes? - https://machmanufacturing.io/learn-shop-floor-data-business-outcomes
  Margin, customer profitability, CapEx decisions. The inputs live on the floor. When floor data doesn't reach the P&L, business outcomes get decided on assumptions.
- [Thought] The Fatal Flaw in Monthly Improvement Cycles - https://machmanufacturing.io/the-fatal-flaw-in-monthly-improvement-cycles
  Monthly reporting creates monthly thinking. Compress your improvement cycle from periodic to continuous and unlock multiplicative gains on the shop floor.
- [Thought] The Hidden ROI of Shop Floor Data: Transforming CapEx and Costing - https://machmanufacturing.io/the-hidden-roi-of-shop-floor-data-transforming-capex-and-costing
  Real-time visibility pays for the system. Longitudinal shop floor data transforms how you allocate capital, calculate true cost-to-serve, and make strategic decisions.
- [Thought] The Human Element: Turning Machine Data into Actionable Intelligence - https://machmanufacturing.io/the-human-element-turning-machine-data-into-actionable-intelligence
  Machines capture what happened. Operators know why. Bridge the context gap between PLC data and human intelligence to turn raw monitoring into true operational insight.
- [Thought] The Plant Manager's Paradox: Why Identical Machines Deliver Different Results - https://machmanufacturing.io/the-plant-managers-paradox-why-identical-machines-deliver-different-results
  Two identical lines, same operators, same materials, different results. Real-time monitoring makes micro-variations visible so you can propagate best practices across every shift.
- [Thought] When Financial Metrics Lie: The Executive's Shop Floor Blind Spot - https://machmanufacturing.io/when-financial-metrics-lie-the-executives-shop-floor-blind-spot
  Financial metrics are lagging indicators that hide operational failure. Bridge the gap between your P&L and your plant floor with real-time operational visibility.
- [Thought] You're Not Data-Poor, You're Insight-Poor - https://machmanufacturing.io/youre-not-data-poor-youre-insight-poor
  Most manufacturers have more data than they think. The problem is it never reaches the people who need it in a form they can act on.

## Contact

- Company: Kinetech Cloud LLC
- Phone: +1 (844) 546-3832
- Address: 110 East Houston St. 8F, San Antonio, TX 78205
- Diagnostic request: https://machmanufacturing.io/diagnostic

## Memberships

- Kinetech Cloud is a member of the San Antonio Manufacturers Association (SAMA) — https://www.sama-tx.org/

## Press & profiles

- Kinetech showroom on The Fabricator (industry directory profile) — https://www.thefabricator.com/directory/showroom/kinetech
- [Featured article] How to Make OEE Work in a Job Shop, by the Kinetech team in The Fabricator — https://www.thefabricator.com/thefabricator/article/shopmanagement/how-to-make-oee-work-in-a-job-shop