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Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Solution · 15

Plant Automation

MES, SCADA, IIoT, and AI bridges that turn industrial data into operational decisions.

SCADAMESOPC-UAEdge

Your plant floor already generates the data to run better — it’s trapped in PLCs, historians, and SCADA screens. We bridge OT to modern data and AI so that data becomes predictive maintenance, OEE intelligence, and faster decisions.

We speak both worlds: OPC-UA and MQTT on the OT side, modern data and ML on the IT side, with operator tooling that fits how the shift actually runs.

WhatMES, SCADA, IIoT, and AI bridges that turn plant data into decisions.
Best forProcess and discrete manufacturers with OT/IT gaps.
RunsOn-prem / edge, bridged to your data layer.
Time to valuePilot line in weeks.
01 — Capabilities

What we build.

Specific, production-grade capability — not a feature checklist.

/ 01

OT/IT bridges

OPC-UA and MQTT bridges from PLC, DCS, and historians to a modern data layer.

/ 02

Predictive maintenance

ML on sensor streams predicts failures before they stop the line.

/ 03

OEE intelligence

Real-time OEE with drill-down into the losses that actually matter.

/ 04

Anomaly detection

Stream analytics flag process deviations as they happen.

/ 05

Operator tooling

Dashboards, shift handover, and deviation workflows built for the floor.

/ 06

Edge-first

Runs at the edge for resilience when connectivity is unreliable.

02 — How it works

From your problem to production.

01

Connect the floor

02

Model the process

03

Add intelligence

04

Operationalise

STEP 01

Connect the floor

We bridge PLC/DCS/historian data via OPC-UA/MQTT into a modern, queryable layer.

STEP 02

Model the process

Establish the signals, baselines, and KPIs that drive real decisions.

STEP 03

Add intelligence

Predictive maintenance, OEE, and anomaly detection on the live streams.

STEP 04

Operationalise

Operator dashboards and workflows turn insight into shift-floor action.

03 — Where it pays

Use cases.

Predictive maintenanceOEE intelligenceSCADA / MES integrationProcess anomaly detectionShift handover automationEnergy / quality monitoring
04 — Engineering

Stack & standards.

OT
OPC-UA
MQTT
PLC / DCS / historian
Edge gateways
Data
Time-series store
Stream processing
Modern data layer
AI
Predictive maintenance
Anomaly detection
OEE analytics
05 — Outcomes

What good looks like.

Unlocked
OT data
Trapped signals become decisions.
Predictive
Not reactive
Failures flagged before downtime.
Floor-fit
Operator tools
Built for how shifts run.
06 — Questions

Answers, before you ask.

Do you replace our SCADA/MES?
Usually no — we bridge to what you have via OPC-UA/MQTT and add the modern data and AI layer on top, so you keep your proven OT systems.
Does it work with unreliable connectivity?
Yes — edge-first design keeps collection and key analytics running locally, syncing to the central layer when the network allows.
What’s the fastest win?
Usually predictive maintenance or OEE intelligence on one line — a contained pilot that proves value before plant-wide rollout.
Ready when you are

Put Plant Automation into production.

Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.

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