2030 Vision · Zero Unplanned Downtime

manufacturing, industrials
& construction

Edge-Native Intelligence. Quality Control. Resilient Infrastructure.

Robotic arm placing a processor onto a circuit board on a cleanroom assembly line

Progress in manufacturing, industrials and construction is held back byunplanned downtime.

SCADA + PLC
telemetry sits unsynthesised across legacy control systems, forcing maintenance teams into reactive equipment repairs.
BIM + RFIs
manually cross-referenced by project engineers against drawings, change orders, and submittals, leading to costly rework and timeline slip.
BOM volatility
of price swings and supplier delays fought by procurement teams across complex bill of materials pipelines.

Because physical production and construction cannot pause without severe financial penalties, shop-floor scheduling, quality control, asset health monitoring, and site safety management must run with predictive accuracy and operational resilience.

From fragmented operations to agentic systems.

We reimagine how industrial and construction enterprises operate by unifying plant managers, field engineers, technicians, and AI agents across the physical value chain.

Understand

Make sense of engineering drawings, BIM models, submittals, and high-frequency sensor telemetry at scale.

Coordinate

Orchestrate plant maintenance, project engineering, procurement, and specialised agentic workflows.

Act

Automate maintenance dispatch, quality inspection, and BOM reconciliation with confidence.

Govern

Ensure deterministic safety guardrails, human-in-the-loop control, and zero-downtime operational architectures.

Where the value leaks

Sensor Alert to Maintenance Action Engineered
Time elapsed between early vibration or thermal anomalies on an asset and an automated maintenance dispatch reaching the right technician.
Spec Query to Engineer Verification Engineered
How long site engineers spend locating the governing specification, change order, or submittal buried in field documentation before they can verify work.
Defect Identification to Line Adjustment Engineered
Latency between an automated visual defect detection and the real-time PLC or line tuning that stops the defect repeating downstream.
BOM Variance to Procurement Order Engineered
Time lost manually reconciling engineering design changes against active inventory and supplier orders across complex bill of materials pipelines.
Permitting & Environmental Inspection Holds Commercial
Municipal regulatory approvals, environmental inspections, and site access clearances sit outside the operational workflow itself: commercial, not engineered.

Real business outcomes.

The Conversational Analytics Architecture

Six AI-powered workflows that turn fragmented ERP extracts and spreadsheets into governed, plain-language decisions.

01

Data Unification

AI agentConnector

Links ERP data and Google Workspace into one governed data layer.

Shared intelligence
Single Source of TruthGemini EnterpriseWorkspace ConnectorsGroup-Based Access Policies
Humans in the loop

IT and analytics teams configure the connectors, agents and access · Business leaders ask in plain language, review the insight and approve.

Real Outcomes. Proven Impact.

Industrial Document AI & Automated Parsing
Data centre engineer working on a laptop beside rows of server racks
95%
Processing Time Reduction
Baseline

Extracting unstructured data from dense ISA-S88 manufacturing control documents, including embedded images, tables, and complex process rules, took 1 hour per document, causing severe data ingestion bottlenecks and high manual labour costs.

Intervention

Deployed Google Document AI OCR for textual data, implemented custom ML models for image and table extraction, mapped output into ANSI/ISA 88 compliant JSON schemas, and deployed a high-throughput API on GKE with Pub/Sub asynchronous queuing.

Result

Slashed file processing timelines from 1 hour down to 3 minutes per document, completely eliminated transcription errors, and empowered engineers to dynamically adjust extraction rules.

Four engineering practices, applied above your ERP, MES, and SCADA systems of record.

AI Outcome Engineering

Rebuilds plant maintenance ticketing, engineering change orders, EHS compliance, and field service workflows, replacing legacy ERP and MES interfaces.

AI Adoption & Change Engineering

Redesigns plant manager, field engineer, and technician roles around agentic tools, evaluating ROI by asset uptime and jobsite safety rather than software logins.

AI Trust & Resilience Engineering

Embeds deterministic safety guardrails, equipment risk-evaluation suites, and zero-downtime operational architectures to protect critical physical infrastructure.

Cloud & AI Platform Engineering

Constructs edge-to-cloud data platforms, unifying SCADA and PLC telemetry, BIM models, and unstructured site documentation into search-ready context lakes.

How an engagement starts

Outcome Discovery on one named process from the list above. Two to four weeks, fixed price, ending in a locked operational baseline and a ranked opportunity matrix. Most industrial and construction engagements start with predictive asset maintenance, engineering document search, or quality inspection due to direct downtime prevention and clear metric baselines.

Day 0

Name one process

Pick a single process from the list above. We scope the systems it touches, the teams who run it, and the metric that defines it today.

Two to four weeks · fixed price

Outcome Discovery

Our engineers sit inside the workflow, trace where time and value leak, and instrument the baseline against your ERP, MES, SCADA, and project systems of record.

What you leave with

Locked baseline and ranked matrix

A locked operational baseline and a ranked opportunity matrix: which interventions move uptime, quality, and schedule, in what order, and what each is worth.

Frequently Asked
Questions
The four questions every operations, engineering, and IT function raises before an agentic workflow touches a plant, an asset, or a jobsite.