See what every machine is doing, know what to fix before it breaks, and generate actionables for the shop floor.




















































Every line, machine, and shift on one screen — then the analytics to ask why. OEE trends, quality drift, energy per unit, cost per batch: answers your team can act on, not just charts.
Fleet-level rollups, line-level drill-downs, asset-level twins — consistent, role-based, configurable by non-technical users.
Six properties, not six features. Three sit in the platform — OEM semantics, OPC-UA connectivity, explainable alarms. Three sit in delivery — the closed loop, site templates, and where your data lives.
Native understanding of equipment families, failure modes, process flows, and OEM telemetry semantics — not generic templates.
Rapid, repeatable factory connectivity for common PLCs. Vendor-agnostic, industrial-grade data standard.
Physics priors + ML produces explainable alarms engineers trust. False positives near zero, not near-infinite.
Alerts become work orders. Work orders find the right technician with the right parts. Fixes update the twin.
Line presets and pre-trained models for common equipment. Weeks, not quarters.
SaaS, private AI instance, or on-prem gateway. You own your data. No vendor lock-in.
| HUMAN-OPS CAPABILITY | REDZONE | FIIX | MVP ONE | OUR PLATFORM |
|---|---|---|---|---|
| Operations daily mgmt | ||||
| Equipment ticketing | ||||
| Work orders + PM | ||||
| Spares visibility | ||||
| Purchasing (PR → PO) | ||||
| Vendor mgmt on assets | ||||
| Quality / compliance | ||||
| Skills / training | ||||
| Physics-assisted ML | ||||
| Digital twin + CMMS loop | ||||
| OPC-UA native ingestion | ||||
| COVERAGE INDEX · MAX 33 | 19 | 18 | 21 | 33 |
A multinational OEM partnered with us to unify equipment connectivity, CMMS, and AI across end-to-end bakery lines — from mixer to packer. The goal: a single non-siloed view where production, maintenance, quality, and procurement decisions share one causal timeline.
Oven belt failures used to waste full batches. Now PAHAG catches bearing wear two shifts early, the twin generates a work order, parts reserve automatically, and a qualified technician arrives at changeover. Zero lost batch.
Scope is decided by telemetry depth, automation density, and whether uptime is a KPI someone already owns. Five profiles are in. Five are out — and we say so before you buy.
Five objections come up in almost every deal. They are recorded here in the customer's own words, with the answer we give in the room — not the one we give after the contract.
Four engagement stages, from proof of concept to multi-site enterprise — each with a fixed scope and a stated elapsed time.
Data onboarding + overlay on existing telemetry. Prove one KPI.
Predictive models on one line. Outcome-linked pricing.
Full four-pillar platform across a site. CMMS integrated.
Multi-site. Standardized KPIs. Private AI or on-prem options.
Every operation in the world — factory, building, or field — runs with the intelligence of its best day, every day.
Any machine, device, or building streaming data the same week you sign.
AI-powered operations assistants that turn telemetry into decisions people trust.
Every deployment makes the platform smarter for every customer.
A 30-minute call with a solutions engineer — no pitch deck, just your lines on a whiteboard.