01
Connect
Plug into MES, SCADA, ERP, and historians through 43+ pre-built connectors. No rip-and-replace - most plants are streaming within an afternoon.
The Platform
KaizenFlow is one closed loop: connect the systems already running your floor, let an AI ensemble surface and rank every opportunity, then reconcile the results into a verified savings ledger your finance team signs.
The loop
Connect, surface, decide, verify - then do it again. Every cycle compounds, and every dollar is reconciled before it is claimed.
01
Plug into MES, SCADA, ERP, and historians through 43+ pre-built connectors. No rip-and-replace - most plants are streaming within an afternoon.
02
Nine AI specialists analyze every signal around the clock - flagging anomalies, predicting failures, and ranking each opportunity by dollar impact and confidence.
03
Assign owners, actions, and deadlines. Role-based approval keeps every recommendation governed, traceable, and auditable end to end.
04
Before/after measurement reconciles against the estimate. Finance receives a verified savings ledger - not a slide deck.
Data layer
A single queryable layer across the systems you already run - real-time tags and historical context, normalized for shift calendars and product mix.
ERP / Business
SCADA / Historian
PLC / Controllers
Protocols

Intelligence layer
A purpose-built ensemble works your data around the clock - multi-method, confidence-scored, and ranked by dollar impact, with a human in the loop on every call.
/01
Multi-method voting (Z-score, MAD, IQR, Isolation Forest) catches quality drift before it compounds.
/02
Finds bottleneck cells and sequencing changes that lift output without capex.
/03
SPC limits, Cpk monitoring, and defect-to-process correlation surface tomorrow’s holds today.
/04
Demand-curve fingerprinting and idle-load detection trim the hidden draw per unit.
/05
MTBF prediction and failure-mode clustering convert unplanned events into planned ones.
/06
SMED-aware sequencing compresses changeovers without breaking promised dates.
/07
First-pass yield analytics and scrap-root attribution rank the loss streams worth fixing.
/08
Predictive intervals replace fixed schedules, with parts and technician-load forecasting.
/09
Confidence-weighted before/after and finance reconciliation - the ledger CFOs sign.
The verified ledger
The difference between a recommendation and a result. Every action is measured against a normalized baseline and reconciled with finance before a dollar is claimed.
Adjusted for shift calendar, product mix, and planned maintenance - so the before is honest.
Before/after deltas are scored, not asserted. Low-confidence claims never reach the ledger.
Estimated savings are matched to actuals your finance team can trace, line by line.
Every recommendation, owner, and outcome is logged and exportable for audit.
Governance
AI surfaces options; your team decides. Every action is permissioned, attributable, and reversible - built for regulated, multi-site operations.
01
Admin, Manager, Engineer, Viewer - scoped to your org structure.
02
Every recommendation and action logged and exportable.
03
Suggestions are advisory; final decisions stay with your team.
04
TLS 1.3 in transit, AES-256 at rest, strict tenant isolation.
For the whole committee
Operations, engineering, and finance each see the same truth in the language they buy in - so the decision clears the room.
Operations
Live OEE, downtime, and scrap by line - each with the next best action ranked by dollar impact.
Engineering
Root-cause signals, failure forecasts, and SMED-aware scheduling, every claim traced back to the data.
Finance
A verified savings ledger with baseline-normalized before/after - audit-ready, sign-off ready.
We’ll model the closed loop against your own plant data - connectors, opportunities, and the verified savings report you’d get in eight weeks.