A CONTEXTFORMERS™ SOLUTION

Infrastructure Intelligence

Formerly VizmoAI

Construction drawings, blueprints, and field records → GIS-ready data

Ingest decades of construction drawings, blueprints, photos, and drone footage. AI detects utility assets — poles, transformers, valves, manholes, conduit, hydrants, meters, and more — across electric, gas, water, wastewater, and telecom systems.

Engineering construction drawing showing utility plan and profile view with manholes, sewer mains, and street connections

THE ENGINE

One engine underneath.

The same four steps run underneath every application. What changes between them is the source material and the output schema, not the intelligence in between.

01

Extract

Detect, read, and locate what matters across images, video, audio, documents, and spatial sources.

02

Form context

Connect detections to the customer's own people, assets, places, terminology, and source evidence.

03

Validate

Confidence, cross-source corroboration, and human review before anything is treated as fact.

04

Deliver

Structured output into search, GIS, asset systems, APIs, and the workflows already in use.

Trust runs through every step: privacy, governance, provenance, confidence, and human review.

HOW IT WORKS

From paper archives to GIS-ready intelligence — without months of manual digitization.

01. Intelligent ingestion

Prioritize representative drawings with clear symbols, readable text, and known geographic context to build a robust AI baseline across plan types.

02. Human-in-the-loop training

Your team encodes your symbology and standards — the model inherits your conventions. GIS analysts annotate ingested documents, identifying asset types, geometry, and network connectivity. Utilities have wildly nonstandard legacy symbol sets; this step ensures the model learns yours, not a generic one.

03. Feature detection

The system runs inference on new documents, detecting objects and geometry in real-time. Extracted assets are automatically converted into feature layers with attributes and confidence scores, structured for Esri Utility Network or Geometric Network migration.

04. Geospatial alignment

A geocoding engine transforms local plan-sheet coordinates into real-world GIS positions using street names, intersections, parcel references, and known control points. Sub-meter alignment verified against survey-grade benchmarks.

05. Network validation

Exhaustive validation across the entire extraction — not spot-checking. Flags dangling laterals, orphaned assets, false loops in radial networks, connectivity gaps, and nodes contradicting source GIS. Determines whether extracted data is actually migration-ready for active utility operations.

06. Satellite & street view verification

Cross-references detected features against satellite and street-level imagery to confirm existence and location. Flags mismatches for manual engineering review. Final confirmation of field conditions versus records.

TIMELINE

3-4 weeks per service area from archive intake to validated, migration-ready output.

Manual digitization of the same archive scope takes 3-6 months of engineering time.

Day 1

Ingestion and quality assessment

Days 2-5

Calibrate pre-trained models to your symbology and standards — models trained across thousands of sheets spanning water, wastewater, and telecom plan types

Week 2

Inference across the full archive using existing detection models and data schemas

Weeks 3-4

Network validation and connectivity tracing, anomaly resolution, engineering review

SEE IT IN ACTION

From construction drawings to geospatial intelligence.

SECTORS IT RUNS IN

Where this lands.

Each sector page lists the roles it is built for and what they use it on.

WHO IT'S FOR

Built for the teams that need this most.

GIS Manager

Electric, gas, water, and wastewater utilities

  • Digitize decades of paper engineering archives into GIS-ready feature layers with sub-meter alignment against control points
  • Validate existing GIS records against LiDAR scans and 360° field imagery
  • Eliminate manual digitization backlogs that delay capital planning and regulatory compliance

Network Engineer

Fiber, broadband, and telecom operators

  • Map transponders, conduit, and aerial plant from construction drawings and field scans
  • Cross-reference engineering records with street-level imagery to flag discrepancies
  • Feed validated spatial data directly into OSP design and permit workflows

Public Works Director

Municipal, county, and state agencies

  • Convert legacy paper engineering archives into searchable, GIS-ready digital assets at scale
  • Fuse construction drawings, field imagery, and survey data into a unified spatial model
  • Accelerate permitting and capital planning with accurate, up-to-date infrastructure records

INPUTS & OUTPUTS

What goes in. What comes out.

PRIMARY INPUTS

  • Construction drawings & blueprints
  • Legacy engineering records (paper, PDF, TIFF)
  • Drone footage & aerial imagery
  • Field photography & survey data

SYSTEM OUTPUTS

  • Esri Utility Network-ready feature layers
  • Asset packages with connectivity and associations
  • Geocoded asset inventory with confidence scores
  • Migration validation reports with defect classification

ContextFormers runs on shared cloud, dedicated single-tenant, or your own infrastructure — including air-gapped deployment — with tenant isolation and automated PII redaction across every model. Trust & Compliance details

OTHER APPLICATIONS

GET STARTED

See infrastructure extraction on your drawings.

Tell us about your archive — drawing types, volume, and target GIS platform. We'll scope a project and show you what ContextFormers delivers.

hello@contextformers.com