AI Model Training Services | Twinworks
Custom AI Training

Transform Mobile Mapping
Into Asset Intelligence

Custom-trained AI models that recognize and classify municipal assets from your mobile mapping imagery. Built on proven open-source architectures, continuously improved through human feedback.

The Challenge

Municipalities and utilities capture terabytes of mobile mapping imagery, but extracting actionable asset information remains manual, slow, and expensive.

  • Manual asset identification takes weeks or months
  • Generic AI models miss domain-specific assets
  • Off-the-shelf tools lack municipal context
  • Asset inventories quickly become outdated

Our Solution

Custom AI models trained specifically for your assets, continuously improving through human feedback, seamlessly integrated into your digital twin workflow.

  • Automated detection in hours, not weeks
  • Models trained on municipal infrastructure
  • Continuous improvement via feedback loop
  • Direct integration with GIS and asset management

Choose Your Service Level

From self-service platforms to fully-managed solutions

DIY

Self-Service Platform

For teams with ML expertise

$500 - $2,000/mo

Plus usage-based fees

Web-based annotation interface
Pre-trained foundation models
Self-managed training pipeline
API access for inference
Community support
Coming Soon
RECOMMENDED
MANAGED

Managed Training

We handle the heavy lifting

$5K - $15K/mo

+ $20K-50K setup fee

Everything in Self-Service
Professional annotation services
Dedicated model training by our team
Model architecture consulting
Quarterly retraining & updates
RLHF feedback loop integration
Priority support
Start Pilot Project
TURNKEY

Full-Service

Complete solution, end-to-end

$50K - $300K/yr

Custom quote based on scope

Everything in Managed
Complete workflow management
Continuous active learning
GIS/digital twin integration
Dedicated success manager
Annual field capture included
Dashboard & reporting tools
Request Custom Quote

How It Works

From imagery to intelligence in four steps

1

Annotate

Label your assets in mobile mapping imagery. We can handle this for you or provide tools for your team.

2

Train

We train custom models on your data using proven open-source architectures (YOLO, DETR, SAM).

3

Deploy

Models run on new imagery, automatically detecting and classifying your assets with high accuracy.

4

Improve

Review results, provide feedback, and watch models improve over time through active learning.

Asset Detection Use Cases

Trained models for common municipal and utility assets

Traffic & Signs

  • • Regulatory signs (stop, yield, speed limits)
  • • Warning signs (curves, pedestrians)
  • • Guide signs (street names, destinations)
  • • Pavement markings & crosswalks

Utilities

  • • Power poles & transformers
  • • Streetlights & fixtures
  • • Utility cabinets & pedestals
  • • Manholes & valve boxes

Vegetation

  • • Tree inventory & species
  • • Vegetation encroachment
  • • Right-of-way clearance
  • • Diseased or damaged trees

Pavement

  • • Cracks (longitudinal, transverse, alligator)
  • • Potholes & surface distress
  • • Edge deterioration
  • • Condition assessment

Municipal Assets

  • • Fire hydrants
  • • Storm drains & catch basins
  • • Curb ramps & ADA features
  • • Bus stops & shelters

Custom Assets

  • • Project-specific features
  • • Infrastructure components
  • • Compliance monitoring
  • • Specialized inventories

Ready to Automate Asset Detection?

Schedule a consultation to discuss your use case and see how custom AI models can transform your mobile mapping workflow.