Energy & Industrial

AI, Vision, and Data Systems for Software and AI -First Industrial Outcomes.

We build pragmatic solutions across engineering data, inspection imagery, and enterprise systems focused on decision support, data quality, QA/QC intelligence, and document-centric workflows.

Manufacturing QA/QC
From Reacting to Quality Problems to Preventing Them.

A quality intelligence system for a high-strength steel tubular manufacturer that flags drifting heat-treat batches in process, cutting scrap and rework 30-40% and recovering $400-600K a year in margin.

PREDICTIVE MAINTENANCE
The Plant That Stopped Failing by Surprise.

Machine-health intelligence gives a high-volume precision parts maker weeks of warning before a failure, protecting uptime and every delivery promise.

Energy and Industrials
Hidden Capacity, Found: 8 to 12 Points of OEE Unlocked.

Live OEE with automated downtime capture lifted a multi-shift fabrication plant's OEE by 8 to 12 points, growing output with zero new machines.

The Intelligence Layer for Industrial Operations

We build practical AI, vision, and data solutions on top of engineering documents, operational data, inspection imagery, and enterprise systems.

Digitize Engineering Knowledge

Extract tags, symbols, BOMs, revisions, relationships from P&IDs, CAD exports, PDFs, scans, & redlines.

Scale Quality With Computer Vision

Detect defects, labels, markings, completeness, & inspection evidence patterns in manufacturing imagery.

Turn Operational Data Into Intelligence

Integrate historian, SCADA, MES, ERP, EAM, quality, lab, and sensor streams into governed data products.

Transform Documents Into Workflows

Extract tags, symbols, BOMs, revisions, relationships from P&IDs, CAD exports, PDFs, scans, & redlines.

Energy & Industrial Solutions

The Work Worth Automating  Across Operations

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Coating, Paint & Finish Defect Detection

Detect coating coverage issues, scratches, bubbles, stains, and finish defects from inspection imagery. Create a searchable defect library for continuous quality improvement.

Improve Quality & Reliability
Quality & Engineering

Standardized visual QA

Packaging & Kitting Completeness Review

Check package, kit, or shipment images against an expected bill of contents. Identify missing items, wrong quantities, damaged packaging, or label mismatches before customer impact.

Improve Quality & Reliability
Quality & Engineering

Reduced shipment defects

Dimensional Anomaly Triage

Analyze images, laser profiles, or 3D scan outputs to identify outliers and dimensional anomalies that need reviewer attention. Integrates with measurement systems without controlling equipment.

Improve Quality & Reliability
Quality & Engineering

Early deviation visibility

Label, Nameplate & Marking Verification

Read and validate labels, nameplates, serial numbers, barcodes, markings, and warnings against work orders, product records, or compliance requirements. Flags unreadable or mismatched markings.

Improve Quality & Reliability
Quality & Engineering

Improved traceability

Component Presence & Assembly Verification

Verify that expected parts, fasteners, labels, seals, connectors, and subassemblies are present before shipment or handoff. Designed for software-based QA decision support on available imagery.

Improve Quality & Reliability
Quality & Engineering

Fewer missed checks

Weld & Joint Visual QA Assist

Use computer vision to assist weld bead, seam, and joint inspections from photos or fixed-camera captures. The system flags anomalies and creates an evidence trail for certified inspectors.

Improve Quality & Reliability
Quality & Engineering

Consistent defect triage

Surface Defect Detection from Inspection Images

Detect dents, cracks, scratches, corrosion, porosity, discoloration, and surface anomalies from captured inspection images. Route evidence to reviewers with severity, location, and defect taxonomy.

Improve Quality & Reliability
Quality & Engineering

25–45% faster review

Redline Intake & Revision Intelligence

Parse redline PDFs and markup notes, group similar changes, associate them with tags and drawing numbers, and prepare a controlled revision backlog for engineering review.

Improve Operational Efficiency
Quality & Engineering

Cleaner revision backlog

Legacy Drawing Classification

Classify large archives of legacy CAD exports, PDFs, TIFFs, and scans by site, asset class, discipline, revision state, and document type. Creates a clean digital index before modernization or migration.

Improve Operational Efficiency
Quality & Engineering

Archive made searchable

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platform

An Industrial Intelligence Foundation, Pre-Built for Speed

Four layers, one delivery model. We connect industrial data sources, normalize operational context, apply AI safely to drawings, documents, images, and time-series data, then expose the results through dashboards, copilots, APIs, and workflow apps.

Four Building Blocks of a Trusted Financial Platform

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Process and mechanical knowledge becomes computable.

We extract symbols, tags, relationships, revision tables, BOMs, tolerances, and notes so drawings become data products that can be searched, reconciled, and audited.

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Computer vision supports inspectors, notreplaces accountability.

Models flag defects and evidence patterns. Reviewers keep final judgment,while the system tracks reviewer feedback and creates traceable QA records.

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Sensor and operations data gets context,lineage, and quality.

We connect time-series streams to asset hierarchy, process context, maintenance history, quality records, and ERP data so analytics are trusted enough to use.

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Unstructured industrial documents become searchable workflows.

Datasheets, invoices, CoAs, manuals, contracts, and specs are parsed into structured attributes, obligations, exceptions, and answerable knowledge bases.

Build Industrial Systems That Drive  Real-World Outcomes.

Transform engineering data, operational workflows, and industrial intelligence into measurable business impact.

ENGAGEMENTS

No Hype. Just Industrial Software Systems That Make Existing Data Useful