Custom AI That Runs on Your Plant Floor
We build predictive maintenance, visual inspection, and scheduling systems on top of your existing PLCs, MES, and ERP - deployed in weeks, owned by you forever.
How it works
Most plants are not short on data - they are short on systems that act on it. Sensor histories sit in the historian, defect photos sit on a shared drive, and the scheduler still rebuilds the week in a spreadsheet every Monday. We build custom AI software that reads those signals in real time and turns them into maintenance work orders, reject decisions, and schedule changes your team can actually trust.
Predictive Maintenance & OEE Intelligence
Models trained on your own vibration, temperature, current-draw, and downtime history that flag failing assets days before they stop the line.
- Ingest historian, SCADA, and PLC tag data through OPC UA or MQTT without ripping out controls
- Failure-mode models per asset class, retrained automatically as new downtime events are logged
- Work orders pushed straight into your CMMS with the suspected fault and recommended parts
- OEE broken down by availability, performance, and quality with the top three losses ranked daily
Automated Visual Quality Inspection
Computer vision on the line that catches surface, dimensional, and assembly defects at full production speed.
- Trained on a few hundred of your own labeled images, not a generic public dataset
- Runs on edge hardware at the station so inspection never depends on network uptime
- Confidence thresholds you control - borderline parts route to a human instead of being scrapped
- Every reject is logged with image, timestamp, and lot for traceability and root-cause analysis
Scheduling, RFQ & Supplier Document AI
AI that rebuilds the production schedule around real constraints and turns inbound RFQs and supplier paperwork into structured data.
- Finite-capacity scheduling that respects changeover matrices, tooling, and labor availability
- RFQ drawings and spec sheets parsed into routings, material takeoffs, and draft quotes
- Supplier certs, packing lists, and ASNs extracted and matched to POs before receiving
- Schedule and quote changes written back to your ERP so there is one version of the truth
Where teams use it
Built for real revenue work.
Discrete & Job Shop Manufacturing
High-mix CNC and fabrication shops use AI quoting to respond to RFQs the same day and predictive models to protect their bottleneck machines. Estimators stop rebuilding routings from scratch on every drawing revision.
Process & Continuous Production
Food, chemical, and packaging plants apply anomaly detection to batch and utility data to catch drift before it becomes a quality hold. Golden-batch models tighten yield without changing the recipe.
Contract Manufacturers & OEM Suppliers
Tier-one and tier-two suppliers automate customer portal paperwork, PPAP documentation, and inspection traceability. Audit evidence assembles itself instead of consuming a quality engineer for a week.
“We had eleven years of downtime data and no way to use it. Six weeks after kickoff the model was calling out bearing failures on our two biggest presses before the operators heard anything.”
FAQ
Questions, answered.
Do we need new sensors or a controls upgrade first?
Usually not. Most plants already log far more than they use, and our first step is a data audit against the tags you have. If a specific asset genuinely lacks instrumentation we will tell you which sensors matter and which are not worth the spend, before you commit to a build.
How does this connect to our ERP and MES?
Through documented APIs, database connectors, or file drops - whatever your systems support. We have integrated with SAP, Epicor, Infor, Plex, and homegrown MES platforms. Nothing is replaced; the AI reads from and writes back to the systems your team already lives in.
What happens if the model gets it wrong on the line?
Every model ships with a confidence threshold and a human fallback path. Inspection models route uncertain parts to an operator rather than auto-rejecting, and maintenance alerts carry the evidence behind them so a technician can overrule. Overrides are logged and feed the next retraining cycle.
How is this different from the Leadify Manufacturing CRM?
The CRM manages customer relationships, quotes, and distributor pipelines on the commercial side. This is operational AI for the plant itself - maintenance, quality, scheduling, and supplier documents. Many manufacturers run both, and we connect them so a quote reflects real shop-floor capacity.
Keep exploring
More from the Leadify platform.
Start With One Line, One Asset, One Model
Book a 30-minute technical scoping call and we will map your data to a first use case with a fixed price and a delivery date.