Yansh Systems
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Manufacturing & industrial

Smart factories that plan themselves.

From MES modernization and IIoT to predictive maintenance, vision-AI quality and plant-wide digital twins — we connect the shop floor to the boardroom and let OEE become a conversation, not a report.

The problem we solve

Most factories have data everywhere and insight nowhere.

Most plants we visit have 15 PLCs from four vendors, a homegrown MES that no one wants to touch, and downtime numbers that arrive a week late in a slide deck. Meanwhile shift supervisors run production on gut feel and a whiteboard.

We stand up an interoperable data backbone from sensor to boardroom, then layer MES, analytics and AI on top — so the plant plans itself and the report writes itself.

  • OT-safe by design. Purdue-level segmentation, deterministic protocols and vendor-neutral gateways.
  • Standards fluent. Native OPC-UA, MQTT Sparkplug, ISA-95 and Asset Administration Shell.
  • Edge to cloud. Local decisioning for latency-critical loops, cloud for models and reporting.
yansh.systems / control
99.98%Uptime
4.7xDeploys/wk
-38%Cost
Deploy pipelinegreen
Security scansgreen
SLO burn ratehealthy
ISA-95 · IEC 62443 · OPC-UA
Solutions we build

Reference platforms for eight industrial use-cases.

MES modernization

Vendor-neutral execution systems with recipe, genealogy and batch tracking.

IIoT & connected equipment

OPC-UA and MQTT gateways with unified namespace and edge compute.

Predictive maintenance

Vibration, thermal and current-signature models with CMMS write-back.

Quality & vision AI

In-line inspection on camera streams with defect classification and SPC.

OEE dashboards

Line-level availability, performance and quality on live plant data.

Digital twins

Simulation-grade twins for lines, cells and plants driven by real telemetry.

Supply-chain control tower

Multi-tier visibility, demand sensing and exception-based replanning.

Warehouse & inventory

Cloud WMS with RF, AGV and yard-management integrations.

Services we bring

Every capability, tuned for industry.

Impact

The numbers our industrial clients quote back at us.

22%
OEE improvement across pilot lines
38%
Unplanned downtime reduction
1M+
Sensors connected across plants
6mo
Payback on predictive-maintenance
yansh.systems / control
99.98%Uptime
4.7xDeploys/wk
-38%Cost
Deploy pipelinegreen
Security scansgreen
SLO burn ratehealthy
Case example
In the field

An auto-components maker that turned four plants into one control room.

A tier-one auto-components manufacturer was losing eight hours a week to unplanned stoppages across four plants. We stood up a unified namespace on OPC-UA, deployed edge gateways on 340 machines, and layered predictive models and live OEE dashboards on top.

  • Downtime cut by 38%. Anomaly alerts routed straight into the maintenance planner.
  • 340 assets, one model. Vendor-neutral tag structure across Fanuc, Siemens and Mitsubishi.
  • Live OEE for every shift. Supervisors run stand-ups on real numbers instead of memory.
For the first time in twenty years my morning meeting starts with a live number, not an argument about which spreadsheet is right. That single change has moved more OEE than any capex we approved last year.
Rajesh MenonPlant Head, Auto Components Group

Scaling an Industry 4.0 rollout or modernizing MES?

Book a 30-minute call with one of our industrial principals. We'll bring peer references, an OT-safe reference architecture and a value case.