Manufacturing · Enterprise AI Automation

Your plant.
Connected.
Finally.

AI-powered automation for manufacturing. We build the integration layer between ERP, MES, SCADA, PLM, and the shop floor — so production data flows where decisions get made. The layer your plant was never designed to have.

Accepting Q3 2026 engagements 20–28 week delivery United States · Global
Integrates with
Siemens Rockwell Automation ABB Mitsubishi Schneider Electric Plex GE Dassault Systèmes Dell HP Lenovo NVIDIA Intel AMD Arm Qualcomm Cisco Netgear Siemens Rockwell Automation ABB Mitsubishi Schneider Electric Plex GE Dassault Systèmes Dell HP Lenovo NVIDIA Intel AMD Arm Qualcomm Cisco Netgear
SAP ServiceNow Jira GitHub GitLab Confluence Notion Asana ClickUp Airtable Google Drive Dropbox QuickBooks Xero Stripe Zoho HubSpot SAP ServiceNow Jira GitHub GitLab Confluence Notion Asana ClickUp Airtable Google Drive Dropbox QuickBooks Xero Stripe Zoho HubSpot
AWS Azure Google Cloud Cloudflare Microsoft 365 Microsoft Teams Slack Zoom Okta Microsoft Entra CrowdStrike Microsoft Sentinel Microsoft Defender Infisical PagerDuty Opsgenie Zendesk AWS Azure Google Cloud Cloudflare Microsoft 365 Microsoft Teams Slack Zoom Okta Microsoft Entra CrowdStrike Microsoft Sentinel Microsoft Defender Infisical PagerDuty Opsgenie Zendesk
The Problem · The Cost of the Gap

Every plant
is working
in the gap.

Plants run on a stack built across decades: ERP, MES, SCADA, CMMS, PLM, IIoT. Production data lives in OT silos. Order data lives in ERP. Quality data lives on a clipboard. World-class OEE sits at 85% (the benchmark Seiichi Nakajima set in foundational TPM work). The average plant runs at 60.

Unplanned downtime per large plant
27h/mo

Average across Fortune Global 500 facilities. Siemens, True Cost of Downtime 2024.1

Average OEE
60%

Vs 85% world-class — the 25-point gap is the integration problem.2

Cite data silos as a business obstacle
90%

Of organizations surveyed. MuleSoft 2025 Connectivity Benchmark.3

The unknown variable
X

Every plant has one. The handoff no one has automated. Quandry solves for it.

The Solution · What we do

Map.
Connect.
Automate.

Three things, done precisely. ERP, MES, SCADA, CMMS, PLM, IIoT: we build the intelligence layer that makes them operate as one. Every manual handoff between IT and the shop floor, replaced with automation your operators actually trust.

01 · SYSTEM INTEGRATION

We connect IT to OT.

The integration layer between ERP, MES, SCADA, and the shop floor. Built on OPC UA, MQTT, ISA-95 and your specific PLC stack. No vendor lock. No shelfware.

  • ERP ↔ MES bridge Core
  • OPC UA / MQTT data routing Core
  • PLM ↔ ERP BOM sync Core
  • Custom connector build Scope
02 · AUTOMATION DESIGN

We eliminate the clipboard.

Production order automation, quality alerts, maintenance triggers, schedule adherence rollups. Every human-in-the-loop handoff that doesn't need to be, automated to your operators' standards.

  • Work order auto-routing Core
  • Quality alert + SPC playbooks Core
  • Predictive maintenance triggers Core
  • OEE rollups & reporting Scope
03 · AI WORKFLOW BUILD

We deploy intelligence.

Custom AI-powered workflows for predictive maintenance, quality anomaly detection, and OEE optimization. Sensor data plus historical context plus production schedule, fused into decisions on the line.

  • Predictive maintenance models Core
  • Quality anomaly detection Core
  • OEE optimization agents Core
  • Model eval + guardrails Scope
How we work

Discovery. Audit.
Build. Deploy.

A deliberate four-phase engagement. 20–28 weeks end-to-end — manufacturing complexity earns the extra runway. Every phase ships a written, signed artifact before we move forward, so you always know what you're paying for.

01 · DISCOVERY

Map the plant.

Stakeholder interviews across plant ops, IT, engineering, quality, and maintenance. Architecture review of ERP, MES, SCADA, CMMS, PLM. Current-state diagram of every line, pipeline, and clipboard handoff.

3–4 weeks · Architecture doc
02 · AUDIT

Find the X.

The OEE gap analysis. Where production data is trapped. Where work orders stall. Where quality dies on a clipboard. Where maintenance reacts instead of predicts. The unknown variable, named and priced.

3–4 weeks · Gap report
03 · BUILD

Close the gap.

Integration layer built (OPC UA, MES bridges, ERP connectors). Workflows written for work orders, quality alerts, predictive maintenance. AI models trained on your real production data. Pilot line rollout with operators embedded.

10–14 weeks · Pilot line live
04 · DEPLOY

Ship it. Monitor.

Plant-wide cutover, operator training, 30-day hand-on-the-wheel period, then a signed runbook and a support retainer, or full handoff. Your call.

4–6 weeks · Go-live + runbook
Every phase is a signed deliverable. No scope creep. No surprise invoices.
DISCOVERY AUDIT BUILD DEPLOY
Who we are

The integration layer for intelligent systems. We solve for X.

Quandry Labs · AI & automation consulting for manufacturing and industrial operations. We connect ERP, MES, SCADA, and the shop floor into a single system that finally works as one.
United States · Serving global manufacturing
Who we serve

Built for plants chasing the real uptime.

We take on a limited number of enterprise engagements per quarter. These are the teams we're built for.

Plant ops leadership

VPs of operations and plant managers accountable for OEE, uptime, and unit economics. The throughput-to-decisions problem, solved with the data already on your floor.

Continuous improvement teams

Lean, Six Sigma, and CI groups who need clean cross-system data to drive Kaizen — without the three-week spreadsheet drag before every event.

IT/OT integration teams

Engineers bridging traditional IT with shop-floor OT systems — PLCs, SCADA, historians, MES — who need the integration layer built correctly from day one. No technical debt to rip out later.

Next steps

Ready to solve
for X?

Book a 30-minute discovery call. We'll map your plant, identify the gaps, and show you exactly what Quandry closes, before you sign anything.