Process Intelligence Platform

Making every factory intelligent.

April Tech is an AI-powered process intelligence platform that turns raw PLC data into real-time insight. Built for manufacturers of all sizes — entering through the 50,000+ small and mid-size plants still running on spreadsheets and paper logs.

The platform

Everything your plant engineer needs - without the tool sprawl. . No more switching.

One platform for anomaly detection, root cause analysis, and statistical process control. DOE and risk quantification arriving 2026.

How it works

Three steps from sensor controllers to insight.

A software-only platform that turns the data your PLCs already generate into real-time process intelligence — without buying a single new sensor.

01 / CONNECT

Plug into the PLCs you already own

April agent runs on a small industrial PC inside your plant network. No proprietary hardware required

02 / DETECT

AI flags issues in real time

Multivariate machine learning detects deviations before they become defects — and explains the likely root cause in plain operator language.

03 / OPTIMIZE

Tune toward the golden batch

Built-in SPC charts, DOE tools, and golden-batch identification — unified in one interface running live against your real process data.

A look inside

Statistical control, live on your floor.

April's built-in SPC charts run continuously against your real process data — catching out-of-control conditions the moment they emerge.

X-bar chart · Reactor T-204 · Temperature
Subgroup size n=5 · last 27 batches
IN CONTROL
186 184 182 180 178 176 UCL · 185.4°C LCL · 177.6°C CL · 181.5°C B-01 B-05 B-09 B-13 B-17 B-21 B-25
Subgroup mean Center line Control limits (±3σ)

X-bar, R, CUSUM, EWMA, and capability indices (Cp, Cpk, Pp, Ppk) — all native, all live.

Why it matters

Unplanned downtime costs 3–5× more than planned maintenance.

And yet most small and mid-size manufacturers still discover problems after they've already happened — through scrap, customer complaints, or a missed shipment.

$20K
Per hour of downtime
Average cost for a discrete manufacturer (ARC Advisory Group).
15–20%
Revenue lost to COPQ
Cost of poor quality eats a fifth of every dollar of revenue (Siemens 2024).
<5%
Of collected data analyzed
Most process data is recorded and never looked at again.
47%
Run on spreadsheets
Nearly half of small manufacturers still monitor with Excel and paper (McKinsey).
Start the conversation

Talk to us about a pilot at your facility.

Start with a single line and a focused 30-day evaluation — see what April finds in your data