Make sense of engineering drawings, BIM models, submittals, and high-frequency sensor telemetry at scale.
Edge-Native Intelligence. Quality Control. Resilient Infrastructure.

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.
We reimagine how industrial and construction enterprises operate by unifying plant managers, field engineers, technicians, and AI agents across the physical value chain.
Make sense of engineering drawings, BIM models, submittals, and high-frequency sensor telemetry at scale.
Orchestrate plant maintenance, project engineering, procurement, and specialised agentic workflows.
Automate maintenance dispatch, quality inspection, and BOM reconciliation with confidence.
Ensure deterministic safety guardrails, human-in-the-loop control, and zero-downtime operational architectures.
Six AI-powered workflows that turn fragmented ERP extracts and spreadsheets into governed, plain-language decisions.
Links ERP data and Google Workspace into one governed data layer.
Semantic search across every Drive document, sheet and report.
Enforces role-based access through Google Groups (IAM) before any data is returned.
Reads sales and production trends, quality defect patterns, spend and vendor performance.
Produces summaries, visual dashboards and narrative reports on demand.
Answers in plain language with charts, so leadership can approve and decide faster.
IT and analytics teams configure the connectors, agents and access · Business leaders ask in plain language, review the insight and approve.




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.
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.
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.
Rebuilds plant maintenance ticketing, engineering change orders, EHS compliance, and field service workflows, replacing legacy ERP and MES interfaces.
Redesigns plant manager, field engineer, and technician roles around agentic tools, evaluating ROI by asset uptime and jobsite safety rather than software logins.
Embeds deterministic safety guardrails, equipment risk-evaluation suites, and zero-downtime operational architectures to protect critical physical infrastructure.
Constructs edge-to-cloud data platforms, unifying SCADA and PLC telemetry, BIM models, and unstructured site documentation into search-ready context lakes.
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.
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.
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.
A locked operational baseline and a ranked opportunity matrix: which interventions move uptime, quality, and schedule, in what order, and what each is worth.