Manufacturing throughput intelligence

Find the station
that's actually
costing you builds.

Most production analytics tell you something is wrong. FlowState tells you exactly which station is causing it, how many builds you're losing because of it, and where to act first — in real time.

LINE.SCHEMATIC // STATION-LEVEL CAUSAL ATTRIBUTIONLIVE
S1
RUNNING
S2
RUNNING
S3
CONSTRAINT
S4
STARVED
S5
STARVED
Build flowingCausal station
The problem with traditional analytics

OEE tells you the line is sick. It won't tell you why.

Existing manufacturing analytics aggregate symptoms. They show that throughput is down — but the actual cause sits buried under correlated failures, propagated downtime, and noisy dashboards no one trusts.

01

Symptoms get logged. Causes don't.

When Station 4 goes down, every station behind it shows starvation. Every station ahead shows blockage. The dashboard lights up — but the real fault was three stations back, twelve seconds ago.

02

OEE hides the lost-build math.

OEE rolls up to a single percentage. It doesn't tell you how many builds you actually lost, which station owned the loss, or whether you have time to recover before the shift ends.

03

Integrations cost more than they return.

Most platforms require months of MES integration, custom dashboards, and a data engineer on retainer. By the time the system is live, the production problem has changed.

What FlowState does

Real-time causal attribution, station by station.

FlowState reads minimal production signal — product ID, station ID, timestamps — and reconstructs the causal structure of your line in real time. It identifies which station is intrinsically constraining throughput, which stations are downstream victims, and how many builds each event is costing you.

No deep MES integration. No model calibration cycles. No replay simulation after the fact. Insight while there's still time in the shift to act on it.

  • Station-level causal IDDistinguishes intrinsic constraints from propagated downtime in real time.
  • Lost-build quantificationTranslates downtime events into builds-at-risk and recovery windows.
  • Live sensitivity rankingA continuously ranked view of which station, fixed first, recovers the most throughput.
  • Light-touch deploymentSits as an analytics layer alongside your existing controls. No MES rip-and-replace.
SHIFT.SUMMARY // LINE_07LIVE
Causal StationS3+74% impact
Builds Lost (Shift)14
Recovery Window2h 18m
Hours Above Plan+1.4h
Next ActionInspect S3
Why this approach

Built by people who've chased a missing build at 2 a.m.

FlowState is purpose-built. It does one thing — identify the station costing you builds — and does it without the integration overhead, dashboard sprawl, or generic analytics theater that's defined the category for two decades.

Fast to deploy

Operates on minimal signal. Days to deploy, not months. No MES rip-and-replace. No data engineer on retainer.

Right-sized economics

Lightweight by design. Priced for the manufacturers who never bought into the seven-figure analytics platform — and got tired of waiting for it to pay back.

Causality, not correlation

Throughput problems are causal. We treat them that way. The result: one ranked answer to "what should we fix first?" — not five competing dashboards.

Get in touch

See it on your line.

Tell us a little about your operation. We'll follow up to scope a pilot.

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