Integrated Hardware + Software AI Systems
We don't just ship models.
We ship the system.
We do not sell a demo, and we do not just hand over a model. We instrument your line, build the edge node, train on your failure modes, and wire the result back into the systems your team already runs.
01Definition
On-premise solution
Gothi Tech's Industrial AI is a customized hardware-and-software system: Gothi Tech specifies and fits the sensors, supplies the on-premise edge compute, trains predictive-maintenance and computer-vision models on the plant's own failure modes, and integrates the result into existing PLC/SCADA and CMMS systems.
02Capabilities
What Industrial AI actually does.
- Predictive Maintenance
- Vibration, thermal, and current signatures are fused into a per-asset health model that flags degradation weeks before failure — not after it.
- Vision-Based Quality Inspection
- Line-rate defect detection on surface, dimension, and assembly faults, trained on your reject bin rather than a public dataset.
- Edge Inference
- Models run on-premise beside the PLC. No round-trip to a cloud region, no dependency on a link that drops during a shift.
- Non-Disruptive Integration
- Reads from existing PLC/SCADA historians and writes work orders into your CMMS. No rip-and-replace, no new panel for operators to ignore.
- OT-Safe Security Posture
- ISO 27001 controls applied to Operational Technology data, with air-gapped deployment where the process demands it.
- Multi-Site Scale-Out
- A model proven on one line is promoted across a facility, then across a network of facilities, with per-site drift monitoring.
03Hardware + software
We ship the sensors, not just the software.
A model is only as good as the signal underneath it. So we specify the instrumentation, build the edge node, train the model, and wire the result back into the systems your team already uses — as one integrated system.
- 01
Asset
Pump · press · motor
- 02
Sensors
Vibration · thermal · vision
- 03
Edge node
On-prem inference
- 04
Model
Fault + confidence
- 05
CMMS
Work order raised
Scheduled intervention · before failure
Signal travels from the asset to sensors Gothi Tech fits, into an on-premise edge node where the model runs, producing a fault prediction with a confidence score, which is raised as a work order in your existing CMMS. The loop closes back to the line as a scheduled intervention, before failure.
- 01Hardware
Sense
We specify, supply, and fit the instrumentation. Sensor choice, mounting, orientation, and sampling rate are engineering decisions, not accessories — a model is only ever as good as the signal underneath it.
- Triaxial vibration accelerometers
- Thermal & IR imaging
- Current and power-quality clamps
- Acoustic emission probes
- Machine-vision cameras, optics & lighting rigs
- Environmental and process transmitters
- 02Hardware
Compute
Industrial-grade edge nodes sit on the line, inside the panel, rated for the temperature and vibration they actually live in. Inference happens here — not in a cloud region on the far side of a link that drops mid-shift.
- Fanless industrial PCs (DIN-rail / panel-mount)
- GPU and NPU accelerator modules
- Protocol gateways: OPC-UA, Modbus, PROFINET, MQTT
- Redundant power and watchdog failover
- Air-gapped operation where the process demands it
- 03Software
Decide
Models trained on your failure modes and your reject bin, not a public dataset. Every prediction carries an asset, a fault mode, a confidence, and enough lead time to actually order the part.
- Per-asset degradation models
- Vision defect detection at line rate
- Anomaly detection for un-modelled assets
- Drift monitoring per site
- Retraining pipeline on confirmed teardowns
- 04Hardware + Software
Act
A prediction that nobody actions is a science project. We write work orders into the CMMS you already run, and where the process calls for it we close the loop into the control system itself.
- CMMS work-order integration
- PLC/SCADA historian read-back
- Reject-gate and diverter actuation
- Andon stacks and operator HMI
- Role-based dashboards and audit trail
04What we hand over
- Retrofit kits for legacy machines
- Presses, motors, and pumps commissioned decades before anyone said 'AI' get instrumented without touching the original control philosophy. No rip-and-replace, no revalidation of the machine.
- Turnkey vision inspection cells
- Camera, optics, lighting, trigger, enclosure, and reject mechanism, integrated and commissioned as one unit against your defect classes at your line rate.
- Edge nodes, panel-ready
- Specified for the temperature, vibration, and ingress rating of the environment they sit in, wired into existing panels by our engineers alongside yours.
- Custom AI, built to your constraints
- Where an off-the-shelf model does not fit the asset, the duty cycle, or the regulator, we build the model — and the hardware that feeds it — to spec.
05How an engagement runs
Pilot first. Rollout only when the numbers say so.
Most industrial AI pilots succeed technically and die commercially. We scope a workflow, not an accuracy target.
- 01
Baseline the cost of failure
Before a single sensor is fitted, we sit with your finance team and price one hour of unplanned downtime on the target asset, at contribution margin. If the arithmetic does not work, we say so.
- 02
Instrument one line
Standardised sensor placement, orientation, and sampling rate. We read from your existing PLC/SCADA historian wherever the data already exists.
- 03
Train on your failure modes
Models learn from your historical failures, not a public dataset. Where history is thin, we run a seeded failure campaign on a redundant asset.
- 04
Deploy at the edge
Inference runs on-premise beside the PLC. Air-gapped where the process demands it. No dependency on a link that drops mid-shift.
- 05
Write into the CMMS
A prediction becomes a work order with an asset, a fault mode, a confidence, and a due date. An alert that does not have an owner belongs to nobody.
- 06
Prove it, then scale
Confirm the fault on teardown. Record the avoided stop. Only then do we promote the model across the facility, with per-site drift monitoring.
06Where it runs
Built for the industries that cannot afford to be wrong.
Discrete Manufacturing
Assembly-line defect detection and press/motor failure prediction.
Process & Chemicals
Pump, compressor, and heat-exchanger degradation modelling.
Automotive & Components
Surface-finish and dimensional inspection at line rate.
Pharmaceutical
GMP-aligned vision inspection with a complete digital evidence trail.
Aviation MRO
Component wear prediction tied to maintenance-record compliance.
Your Plant
Bespoke models tuned to your specific OEE and uptime goals. We start with a paid pilot on one line.
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07Industrial AI questions
Straight answers about deployment.
What is industrial AI?
Industrial AI is the application of machine learning to plant equipment and production lines, principally for predicting equipment failure before it occurs and for detecting quality defects at line rate using computer vision.
What is predictive maintenance?
Predictive maintenance uses sensor data such as vibration, temperature, and current signatures to model an asset's health and forecast degradation, so maintenance is scheduled before a failure rather than after one.
How accurate are Gothi Tech's predictive models?
Gothi Tech's deployed vision and sensor models achieve over 95% accuracy on fault and defect prediction. Accuracy is validated against each plant's own historical failure data during the pilot phase.
Does industrial AI require replacing existing control systems?
No. Gothi Tech's models read from existing PLC/SCADA historians and write to existing CMMS platforms. No replacement of control hardware is required.
Can models run without an internet connection?
Yes. Inference runs at the edge, on-premise, next to the PLC. Air-gapped deployment is supported for environments where operational technology data cannot leave the facility.
How long does an industrial AI pilot take?
A typical pilot is scoped to a single production line and produces a measurable ROI baseline before any multi-site rollout. Timelines depend on the availability of historical failure data.
Does Gothi Tech supply hardware, or only software?
Gothi Tech supplies both. A deployment includes the instrumentation (vibration, thermal, current, and machine-vision sensors), industrial-grade edge compute, protocol gateways, and control integration, alongside the models that run on them.
Can legacy machines be instrumented without replacing them?
Yes. Gothi Tech builds retrofit kits that instrument presses, motors, and pumps commissioned decades ago without altering the original control philosophy, so no machine revalidation is required.
Industrial AI
See it against your own data. We will scope a pilot on one line, with a measurable baseline before anything is rolled out.