Connect every machine. See every site. Then automate the rest.
We are system integrators for modern SCADA and Industrial IoT. We put your plant floor on one live
dashboard — then layer supervised AI agents on top of that data, across production and sales.
Tags configured, historized and alarm-rationalized
What we do
Two practices. One data foundation.
Digitization makes your plant data trustworthy. Agentic AI is what becomes possible once it is.
Same team, same architecture, delivered in that order.
Industrial digitization & SCADA
Connect every asset, historize every signal, and give operators and management dashboards they actually open. Ignition Perspective where it fits, a custom stack where it does not.
Machine & PLC connectivity — MTConnect, FANUC FOCAS, OPC-UA, Modbus, BACnet, plus retrofit IO for machines with no network port
OEE & downtime analytics — automatic state capture, reason codes, shift and operator breakdowns on a SQL historian
Multi-site rollup — MQTT Sparkplug B with store-and-forward, so a WAN outage costs you nothing
Digital twin & process graphics — live P&ID and thermal views for utilities, chiller plants and data halls
Alarm rationalization — ISA-18.2 priorities, shelving and escalation that cut nuisance alarms
Agentic AI for production & sales
Tool-using agents that read your historian, MES and CRM, investigate in plain language, and draft the work a supervisor or engineer would otherwise do by hand — never committing without approval.
Downtime triage copilot — correlates stoppages across machines and names a likely cause with the evidence attached
Shift & compliance reporting — handover summaries and batch records assembled from live data, not memory
Predictive maintenance agent — watches current, vibration and cycle drift, then drafts a work order for approval
SQL tag historian, partitioning and retention policy, scheduled PDF and email reporting.
Perspective dashboards
Responsive operator, supervisor and executive views with role-based access and mobile layouts.
Alarm pipelines
SMS, email and voice notification with on-call rosters, escalation and acknowledgment tracking.
IT / OT integration
REST and database bridges into MES and ERP, so shop-floor data reaches the systems that bill for it.
Commissioning & support
FAT and SAT, operator training, as-built documentation, and remote gateway maintenance.
Proven in production
Three deployments we build most often
The screens below are representative Perspective views. Same architecture from a single cell to a multi-country group.
Digitizing 50 CNC machines
A precision machining plant running a mixed fleet — FANUC, Siemens 840D, Haas and Mazak — plus a dozen
older machines with no network port at all. We brought all 50 online: native protocol adapters where the
control supported them, retrofit IO and current sensing where it did not, and one UDT model so every
machine reports identically regardless of vendor.
50 / 50Machines connected, legacy retrofits included
AutomaticDowntime capture replaced the paper log
Per shiftOEE by machine, cell and operator
One modelA single UDT across four control vendors
Multiple site locations in a single dashboard
Six production locations across three countries, each with its own gateway and its own local SCADA.
A central enterprise tier subscribes to every site over MQTT Sparkplug B, so a plant manager sees their
own floor and the COO sees all six ranked side by side — live, with drill-down to any individual machine.
Sites keep running normally if the central link drops.
At or near target Below target — Stuttgart 75% target
Group OEE75.2%1.6 pts vs last week
Output vs plan96%5,068 of 5,280 parts
Sites needing attention1Warn Stuttgart
Site detail
Site
Machines
Parts
Hyderabad
18
1,412
Chennai
22
1,104
Pune
12
986
Stuttgart
14
742
Brno
6
508
Bielefeld
12
316
One viewSix plants, three countries, side by side
No data lossStore-and-forward rides out WAN outages
Like for likeIdentical KPI definitions at every site
Local autonomySites run on if the central link drops
Data center cooling digital twin
A live twin of a hyperscale data hall — CRAC units, chilled water loop and rack-level thermal zones,
bound to BMS and PLC tags. Operators see PUE, cooling headroom and hotspot risk continuously rather
than in a monthly report, and alarms are rationalized to ISA-18.2 so the ones that fire still mean something.
BACnet / BMS
Digital twin
PUE monitoring
Thermal mapping
ISA-18.2 alarms
1.42live PUE, tracked continuously
DC cooling twin/ Data hall 1Floor planChiller plantTrendsAlarms 14,230 tags live
Rack inlet temperature — data hall 1↓Cold < 22°C=Normal 22–28°C↑Warm 28–32°C!Hot > 32°C
CRAC-01 supply22.4°C
CRAC-02 supply21.8°C
CRAC-03 supply22.1°C
Total airflow48,200CFM
PUE
1.42
Within targetTarget < 1.50
Cooling headroom
Load2.4 MW
Humidity45% RH
2.4 MW of 3.1 MW installed capacity
Hotspot risk2Warn racks above 32°C
Rack levelThermal visibility, not room averages
Live PUEEfficiency tracked continuously
Early warningHotspots flagged before thermal events
ISA-18.2Rationalized alarms, fewer nuisance trips
Product line 02
Agentic AI in production and sales
Once the data is trustworthy, agents become practical. Ours investigate, draft and recommend —
and stop at a human before anything is written back.
Production lifecycle
Wired into the historian, MES and maintenance system.
Downtime triage — correlates stoppages and names the likely cause with evidence
Shift reports — handover summaries generated from production, quality and alarm data
Predictive maintenance — drift detection that drafts a work order, never files one
Plain-language search — "every CNC that lost over 20 minutes this week"
Energy advisor — flags load patterns and proposes scheduling changes with projected savings
Sales lifecycle
Industrial sales cycles are long, technical and full of manual follow-up.
Lead qualification — enriches and scores inbound enquiries against your ICP
Quote drafting — BOM-backed proposals from your price book and past projects
RFQ & tender analysis — reads specifications and extracts scope, risk and compliance gaps
CRM hygiene — keeps records current and surfaces stalled opportunities
Pipeline intelligence — win/loss patterns and forecast commentary for the weekly review
Sales agent/ run #4821 Awaiting approval · 11 s
Trigger
Inbound enquiry — “Need OEE monitoring for 30 machines across 2 plants, Q3 budget.”
Strong ICP match, score 86. Closest reference is the 50-machine CNC rollout. Estimated effort 9–11 weeks: two site gateways plus an enterprise tier.
Gate
Scoped proposal and BOM drafted, routed to the sales lead. Nothing sent until a human approves.
01
Observe
Reads live tags, historian, ERP and CRM context
02
Reason
Correlates signals into a hypothesis with evidence
03
Act
Calls only approved tools — query, draft, schedule, notify
04
Approve
A human confirms before anything is written back
05
Audit
Every step logged, reviewable and reversible
Read-only data access by default, scoped tool permissions, and no autonomous writes to control systems. Private and on-premise hosting where data residency requires it.
How we work
Data first. AI second. Always in that order.
01
Discovery
Asset audit, protocol survey, tag list and topology mapping.
02
Integration
Machine and PLC connectivity, UDT model, historian, alarms.
03
Visualization
Operator, supervisor and executive views. Mobile included.
04
Deploy
FAT and SAT, operator training, documented go-live support.
05
Augment
One agentic AI workflow, measured, then expanded.
“We had machine data locked inside four different controller vendors and a paper downtime log.
Within one rollout it was all on a single live dashboard — and for the first time the plant and
the group office were looking at the same numbers.”
Operations lead
Precision machining group — 50-machine, multi-site deployment
Engagement models
Start small and prove it, or hand us the programme
Both work. Most customers start with the assessment because it de-risks the rest.
2–3 weeks
Digitization assessment
We audit your assets, protocols and existing systems, then hand over a plan you could execute with anyone.
Connectivity map per machine
Tag architecture & UDT proposal
Costed, phased rollout plan
Fixed fee, no obligation to continue
8–14 weeks Most requested
Turnkey deployment
Full delivery with a single point of accountability, from first protocol test to trained operators.
Machine, PLC and BMS connectivity
Historian, UDT model, alarm rationalization
Perspective dashboards and mobile views
FAT/SAT, training, as-built documentation
Ongoing
Managed support & AI rollout
We keep the platform healthy and introduce agentic AI one workflow at a time, with measured outcomes.
Gateway maintenance and monitoring
Dashboard evolution as needs change
Phased agent deployment with guardrails
Remote support across time zones
Questions
The things people ask first
Can you connect machines that have no network port?
Yes — that is usually a third of a real shop floor. Where a control exposes nothing usable we retrofit: current sensing on the spindle drive, stack-light tapping, cycle-start contacts into a small IO module. You lose part-level detail on those machines but you still get accurate run/idle/down state and cycle counts, which is what OEE needs.
Do we have to use Ignition?
No. Ignition Perspective is our default because the licensing model and the Perspective module suit most of these projects, but we have built custom stacks where a client had a different constraint. What we will not do is lock you in: you own the tag model, the database and the documentation either way.
What happens to a site if the link to head office drops?
Nothing. Each site runs its own gateway and its own local SCADA — the enterprise tier is a subscriber, not a dependency. MQTT store-and-forward buffers data at the edge and backfills the historian when the link returns, so the group dashboard catches up without gaps.
Will the AI agents change anything in my control system?
No. Agents get read-only access to operational data by default and can only call the tools you explicitly approve. Anything with a consequence — a work order, an email to a customer, a schedule change — is drafted and queued for a human. Every step is logged and reversible.
How long before we see something real?
The assessment gives you a connectivity map and a costed plan in two to three weeks. On a turnkey deployment the first machines are usually reporting live within three to four weeks, and we deliberately get one dashboard in front of operators early rather than revealing everything at go-live.
Where are you based, and can you work with our site in Europe?
We are based in Hyderabad, India, and have delivered across India, Germany and the wider EU. Commissioning is on site; development, support and gateway maintenance are remote, with overlap into European working hours.
Tell us what you run, and where it hurts
We will come back with a connectivity map and a realistic plan — not a brochure.