For Manufacturing

Your production floor runs 24/7. Your data workflows shouldn't need babysitting.

AI automation for manufacturers — monitor production in real time, automate quality reporting, streamline supplier communications, and eliminate the manual data entry that slows everything down. Delivered in weeks.

Talk to us → Calculate your ROI →

The Problem

Your machines are automated. Your workflows aren't.

Modern factories run precision equipment worth millions — then track production with spreadsheets, email purchase orders by hand, and catch quality issues hours after they start. The gap between shop-floor technology and back-office processes is where manufacturers bleed time and money.

📋

Manual Production Reporting

~6 hrs/week on data entry and report assembly

Operators log output by hand. Shift supervisors compile numbers into spreadsheets. Managers wait until Monday to see last week's performance. By the time trends surface, the damage is done.

🔍

Reactive Quality Control

Defects caught after 50–200 units produced

Quality checks happen at intervals — not in real time. A tooling issue at 2 AM runs unchecked until the morning shift. Scrap costs, rework, and customer returns all trace back to the same problem: detection too late.

📧

Supplier Communication Chaos

~8 hrs/week on PO follow-ups and status checks

Purchase orders sent via email. Delivery confirmations buried in inboxes. Late shipments discovered when the line stops. Nobody has a single source of truth for what's ordered, what's confirmed, and what's late.

🔧

Maintenance by Calendar, Not Condition

Unplanned downtime costs $50K+/hr for mid-size plants

Equipment maintenance happens on a schedule — whether the machine needs it or not. Meanwhile, the machine that actually needs attention gives subtle warning signs (vibration, temperature, cycle time drift) that nobody's tracking systematically.

15+
Hours/week recovered from manual processes
60%
Reduction in defect escape rate
$74K
Annual savings (mid-size plant)
4–6
Week implementation timeline

What We Automate

Four automations that keep your plant running smarter

Built for small-to-mid-size manufacturers (20–500 employees). Works with your existing ERP, machines, and communication tools.

1

Automated Production Monitoring

6 hrs/week manual reporting → real-time dashboards

Machine output, cycle times, downtime events, and OEE metrics collected automatically. Shift summaries generated and distributed without anyone touching a spreadsheet. Anomalies flagged instantly — not at the end-of-week review. Supervisors get alerts, not data entry assignments.

PLC/SCADA ERP Slack/Teams Email Google Sheets
2

Intelligent Quality Alerts

Catches deviations within minutes, not hours

Quality data from inspections, sensors, and operator inputs analyzed continuously. When measurements drift toward control limits — before they exceed them — alerts fire to the right people with context: what's drifting, since when, and which machine/lot is affected. Reduces scrap, rework, and customer complaints.

QMS Sensors/IoT ERP Slack Email
3

Supplier & PO Automation

8 hrs/week manual follow-ups → automated tracking

Purchase orders generated from inventory triggers or production schedules. Sent automatically with acknowledgment tracking. Late deliveries flagged before the line stops — not after. Supplier scorecards updated automatically based on on-time delivery, quality, and responsiveness.

ERP Email Supplier Portal Inventory System Slack
4

Predictive Maintenance Triggers

Calendar-based → condition-based maintenance

Machine runtime, vibration data, temperature readings, and error logs monitored for patterns. When a machine's behavior deviates from its baseline, a maintenance work order is created automatically with priority level, suspected issue, and last service history. Maintenance happens when needed — not on a fixed calendar.

PLC/SCADA CMMS IoT Sensors Slack/Teams Email

🏭 Built for the Shop Floor

The math behind manufacturing automation

$74K+

A mid-size manufacturer with 100 employees losing 15+ hours/week to manual reporting, reactive quality control, and supplier follow-ups. At loaded labor rates of $45–65/hr, that's $74K+ annually in recoverable costs — before counting scrap reduction and avoided downtime.

The Shift

What changes in week one

Before

  • Operators manually log production data into spreadsheets
  • Quality issues caught hours after they start — 50-200 defective units
  • PO status lives in email threads nobody can search
  • Maintenance scheduled by calendar, not by machine condition
  • Weekly reports assembled by hand every Monday morning
  • Supplier delivery problems discovered when the line stops

After

  • Production data flows from machines to dashboards automatically
  • Quality deviations flagged within minutes, before scrap accumulates
  • PO tracking centralized with automated follow-ups and late alerts
  • Maintenance triggered by actual machine behavior patterns
  • Shift summaries and weekly reports generated and distributed automatically
  • Supply chain delays detected and escalated before they impact production
"We cut our scrap rate by 40% in the first two months just from catching quality drifts earlier. The production reports that used to take our supervisors all Monday morning now arrive in everyone's inbox before the first shift starts."
Plant Manager, Precision Parts Manufacturer · 85 employees, 3 production lines
Illustrative — real client stories coming soon

Simple, fixed pricing

No per-machine fees. No usage surprises. You know the cost before we start.

Starter
$2,500
One workflow automated. Perfect for starting with production monitoring or supplier PO tracking.
Growth
$7,500
2–3 connected workflows. Production monitoring + quality alerts + supplier automation.
Enterprise
Custom
Full plant automation including predictive maintenance, multi-line monitoring, and custom ERP integrations.
Get a quote →

Process

Live in 4–6 weeks

We integrate with your existing equipment and systems. No production line downtime required.

1

Discovery (Week 1)

We walk the floor, audit your data sources (PLC, ERP, QMS), and identify the workflows costing you the most time and scrap. You get a written scope with exactly what we'll automate and the expected ROI.

2

Build (Weeks 2–4)

We build the data pipelines and automations, connect to your existing systems, and configure alert thresholds with your team. Weekly progress demos so you see real data flowing — not just slide decks.

3

Test (Week 5)

Automation runs in shadow mode alongside current processes. Your team validates accuracy, we tune alert sensitivity, and everything is proven with real production data before full handover.

4

Launch (Week 6)

Go live. Operators and supervisors trained on new workflows. Full documentation delivered. 30 days of support included to adjust thresholds and handle edge cases from real production runs.

Your machines don't take breaks. Your data workflows shouldn't either.

Let's automate the reporting, quality monitoring, and supplier coordination so your team can focus on production — not paperwork.

Email Alex → Calculate your ROI →