MachineMetrics
AI-powered manufacturing operations platform (MaximaOS) that connects every machine to close the execution gap in real time.
By MachineMetrics · HQ Easthampton, US · 4.0/5 verified-buyer score
Positioning guardrails
Best for
- Discrete manufacturers (aerospace & defense, automotive, medical device, industrial equipment, contract machining) with connected CNC equipment
- Multi-site plants that need OEE, downtime and utilization measured identically across every facility
- Manufacturers running Epicor or another ERP that want jobs, labor tickets and progress synced automatically
- Operations leaders who want deployment in weeks with no on-premise infrastructure to host
- Continuous improvement teams ranking losses by cost and holding gains after a project closes
Ideal size: 50–1,000+ people · Scale-up to enterprise discrete manufacturer with a data-literate ops team
Not for
- Process, batch or continuous-flow manufacturers (chemicals, food and beverage, pharma)
- Buyers who require on-premise or self-hosted deployment — MachineMetrics is cloud-only SaaS
- Very small shops with only manual, unconnected equipment and no machine data to capture
- Teams looking for a transactional ERP or accounting system rather than manufacturing execution
Value metrics scorecard
Time-to-Value
2–4 weeks
~30 days to first production value
Total Cost of Ownership
$0/yr
Starts at $0 · True SaaS subscription, volume-based per connected machine, billed annually; no maintenance fees and all updates included
Implementation Friction
2/5
Engineering + admin effort required
Buyer Score
out of 5 · verified buyers
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Unlimited users on every plan; cost scales with the number of connected machines
Add-on costs
- Edge gateway hardware for machines that cannot be connected via a virtual connector
- Optional sensors and tablet interfaces (buy through MachineMetrics or independently)
Company & support
Who is behind MachineMetrics, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Easthampton, US
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsAll plans
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerAll plans
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Pricing page states all plans include customer support, unlimited remote technical support, onboarding, product training and a designated customer support point of contact. The contact page directs current customers to submit a support ticket; a Support Hub is linked in the footer.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where MachineMetrics sits relative to every other solution in the database. Toggle axes to compare on cost, speed, friction, or buyer score.
Quadrant view
Implementation friction × Verified buyer score
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What MachineMetrics ships in AI, and what it asks of your ecosystem.
AI features shipped
Max AI runs beneath MaximaOS on live machine data, ERP context and customer documentation. The homepage cites plain-language questions answered with the chart already built, setup guidance at the machine, auto-generated shift summaries and anomalies flagged before they become scrap. No BYOK options or AI audit-log detail are published.
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Industry verdicts
How MachineMetrics speaks to each vertical it serves — same data, sector lens.
ManufacturingShip on time, quote faster, cut scrap.
Best for in Manufacturing
- Discrete manufacturing with high-mix, tight-tolerance or high-volume machining (aerospace & defense, automotive, contract manufacturing/job shops, medical device, industrial & heavy equipment,…
- Plants that need machine-native scheduling, work orders, labor and downtime instead of clipboard and end-of-shift entry
- Multi-site footprints standardizing OEE and utilization definitions with APIs, BI integration and governance
- Operations wanting capacity and quoting built on demonstrated cycle times from their own equipment
Not for
- Process, batch or continuous-flow manufacturing such as chemicals, food and beverage, or bulk pharma
- Facilities that require on-premise or self-hosted deployment
- Low-volume shops with no machine data sources and no appetite for a paid SaaS subscription
MachineMetrics is purpose-built for discrete manufacturing: connect old and new machines plus ERP/CMMS, then automate scheduling, work orders, labor, downtime and OEE from live signals. Case studies with Paragon Medical, Hamilton and Flexco report utilization and throughput gains of 11%–200%. Pricing is quote-based per connected machine, and deployment is cloud-only, so process manufacturers and on-premise-only buyers should look elsewhere.
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
MachineMetrics is an AI-powered manufacturing operations platform (MaximaOS) for discrete manufacturers. It connects machines, operators and ERP systems to capture production data automatically, then runs scheduling, work orders, labor, downtime and OEE off live machine signals. Named customers including Paragon Medical, Hamilton and Flexco report double-digit utilization and throughput gains. Pricing is a volume-based SaaS subscription per connected machine with unlimited users, and onboarding, training and support are included in every plan.
Frequently asked questions
How long does MachineMetrics take to implement?
The vendor says deployments are measured in weeks, not months, and that drag-and-drop scheduling, out-of-the-box reports and operator-ready dashboards make it fast to launch and scale. Its pricing FAQ claims many customers can be up and running in one afternoon. Expect a short pilot on a few machines before a plant-wide rollout.
How is MachineMetrics priced?
Pricing is not published; MachineMetrics quotes per plant. The pricing page describes a true SaaS subscription with no maintenance fees and all software updates included, priced by volume of connected machines so cost per machine falls as you connect more. Unlimited users are included on every plan. Three tiers are listed — Core Platform, Intelligent MES and Enterprise — with support, onboarding and training in all of them.
Is MachineMetrics cloud-based or on-premise?
It is a cloud-based system; the vendor states it is an ISO 27001 certified cloud platform and that customers own all their data, stored using encryption. There is no on-premise option. Machines connect through edge gateways or virtual connectors, and the vendor says most modern machines need no extra hardware.
Do we need extra hardware to use MachineMetrics?
Often not. The pricing FAQ says most modern machines need no additional hardware. MachineMetrics Edge gateways can connect roughly 50 machines each when networked to an electrical switch, and many customers install connectors as a virtual machine on a local PC. Older equipment with digital or analog IO can be connected, and sensors or tablet interfaces are optional add-ons.
Which systems does MachineMetrics integrate with?
The integrations page advertises no-code, low-code and developer paths plus open APIs and native streaming. Documented integrations cover any ERP for syncing work orders and labor tickets, CMMS platforms such as MaintainX and Fiix, work instructions, BI and communication tools. The vendor says the platform can be customized to any integration requirement.
Who owns the production data MachineMetrics collects?
Customers do. The pricing FAQ states you own all the data and that MachineMetrics stores it in the cloud using best-in-class encryption. Data is captured automatically from machines and ERP context rather than typed in at end of shift, which the vendor argues makes reporting traceable to the shift, job and event behind each number.