OUTCOME · DATA VISIBILITY

Real-time. High-frequency. Finally.

Sub-second polling, contextualized signals, dashboards built for the line and the boardroom. Reports stop arriving three hours after the problem — and the historian stops being a black box.

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── WHEN THIS IS FOR YOU ──

01

Reports lag actual production by hours.

By the time the dashboard updates, the loss has already accumulated. Operators are reacting to history, not to what's happening now.

02

The historian is full. The answers are slow.

Data is being collected. No one can pull a clean number out of it without a half-day of spreadsheet work.

03

Vendors say it can't be done.

Equipment suppliers warned you that high-frequency polling would overload the controllers. So you stayed conservative. And stayed blind.

04

OEE is "30 to 70" — and that's not a number.

If your performance metric has a 40-point range, you don't have a metric. You have a guess.

── WHAT YOU GET ──

Outcomes, not deliverables.

01 · OUTCOME

High-speed data architecture

Sub-second to multi-second polling, distributed loading, minimal controller overhead. Designed so 'it can't be done' retires itself in deployment.

02 · OUTCOME

Real-time line dashboards

Throughput, yield, downtime, and alarm-driven root cause — visible while production is still running, not after the shift report.

03 · OUTCOME

Leadership-grade visibility

Roll-ups for ops, plant, and divisional leadership that don't fight the line view. Same numbers, different altitude.

04 · OUTCOME

Contextualized signals

Tags, asset frameworks, and metadata so the data answers the questions your team is actually asking — not just stores them.

05 · OUTCOME

Stable controllers

Continuous health monitoring across the rollout. The line doesn't pay for the visibility.

06 · OUTCOME

ROI evidence

Before/after instrumentation tied to the metric that justified the spend. The visibility itself proves it earned its keep.

── HOW WE DELIVER IT ──

Visibility comes from a coherent stack — architecture, integration, dashboards, and the operating rituals that use them. We deliver across all four modes; most engagements blend two or three.

STRATEGY & OPERATIONS

Stop chasing buzzwords. Start solving real problems.

When the question is what to do, in what order, with what budget, and to what end. We translate operational ambition into a sequenced, fundable plan that survives contact with the shop floor.

  1. 01 · LISTENTwo weeks on the floor, in the data, and with leadership. We earn the right to make recommendations.
  2. 02 · FRAMEMap the constraints — physical, informational, organizational — and surface the trade-offs.
  3. 03 · SEQUENCERank initiatives by leverage, cost, and risk. Plan written in your team's language, not ours.
  4. 04 · SHIPFirst initiative goes live. Success is measured on the line, not at the steering committee.
DIGITAL INTEGRATION

Everything between the PLC and the P&L.

OT/IT integration, MES, historians, and the connective tissue that turns shop-floor signals into decisions on the floor and numbers in the boardroom.

  1. 01 · DISCOVERMap systems, signals, and decision points. Where is data created? Where does it need to go? Where does it get lost?
  2. 02 · ARCHITECTDesign the integration layer around your use cases — not a vendor's reference diagram. Standards where helpful, pragmatism where required.
  3. 03 · BUILDConnect equipment, configure platforms, write the bespoke pieces. Working in your environment, with your team alongside.
  4. 04 · OPERATEHand off with documentation, training, and a sustainment plan so the system stays a system that runs.
RAPID IMPACT · RIOT KIT

Weeks, not quarters.

Productized engagement built for ops leaders who want a focused, measurable win on a real line — before signing up for a multi-year transformation. Narrow scope. Fixed timeline. Outcome you can see from the floor.

  1. 01 · SCOPEHalf-day session. We pick the line, the constraint, the metric, and the win condition. In writing, before we start.
  2. 02 · INSTRUMENTBaseline data. Whatever's missing to measure honestly, we add — working from your existing systems where possible.
  3. 03 · INTERVENEThe actual change: control tweak, dashboard, integration, operating ritual. Whatever the constraint demands.
  4. 04 · REPORTBefore-and-after on the agreed metric. Honest read. Recommendation on what to scale, what to leave, what to retire.
LIFECYCLE

The system you bought last year should still be earning.

Adoption, training, and sustainment so the platform you funded keeps shipping value. Most manufacturing software dies of neglect, not bad design — we keep yours alive.

  1. 01 · ASSESSAudit the system, the team, and the operating rituals. Where is value leaking? What broke after go-live?
  2. 02 · STABILIZEFix what's broken, retire what isn't earning, retrain what wasn't learned. Get to a clean baseline.
  3. 03 · EMBEDMake the system part of the daily-management ritual. Operators, supervisors, and ops leadership all see themselves in it.
  4. 04 · EXTENDSmall, scoped enhancements every quarter — guided by what's actually moving the metric, not by feature backlog.
CASE STUDY · GLOBAL MEDICAL DEVICE MANUFACTURER
“Real-time visibility delivered measurable production gains with minimal disruption — and gave leadership the proof they needed to scale this globally.”
— Engagement summary, Axiom Manufacturing Systems
READ THE FULL CASE ▶
OUTCOME

~15% / ~15%

Throughput and yield gains, before any advanced analytics

── FAQ ──

Are you tied to a specific MES or historian platform?
No. We've deployed across the major platforms (Ignition, Wonderware/AVEVA, Rockwell, PI, et al.) and bespoke stacks. We pick what fits the problem and the team that will run it after we leave.
Our equipment vendor said high-frequency polling will crash the controllers.
It can — if the architecture is wrong. We've deployed sub-second polling at scale on the same controller families, with continuous health monitoring through rollout. The objection is real; the conclusion isn't.
We already have dashboards. Why aren't they working?
Usually one of three reasons: the polling rate is too slow to catch the events that matter, the data isn't contextualized enough to answer the question, or the dashboard wasn't built around the operator's actual workflow. We diagnose which it is before recommending anything.
How do you handle OT/IT security and change-control?
We design to your existing change-control and cybersecurity standards from the start. If you don't have them yet for OT, we'll help establish a workable baseline as part of the engagement.
What does success look like 6 months after go-live?
Operators are using the dashboards without prompting. The platform is documented and your team can extend it without calling us. The original ROI thesis is being measured and reported.

Tired of dashboards that arrive late?

30 minutes, working session. Bring the data gap that's been on your list and we'll show you how we'd close it.

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