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Software Status:Active

About Elements XS

Elements XS by Novotx is an operations platform for utilities and government agencies that unifies work orders, asset data, and GIS updates. It emphasizes fast deployment with low-code tools so teams can tailor workflows without heavy IT work. Real-time GIS synchronization avoids duplicate data entry, and mobile-first apps with offline access keep field crews productive. Open APIs support integrations with other civic systems. Key capabilities: Work order and utility operations management Real-time GIS data updates Low-code workflow customization Mobile offline field access API-based integrations Best for: Public works and utility teams modernizing field operations and GIS workflows.

Elements XS Details

Vendor
Novotx
Year Launched
2004
Location
4905 S 1500 W Ste 210, Riverdale, UT 84405
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries.
Languages
English
Users
Utilities and local government
Industries Served
Utilities (e.g., water, power) and local government
Tags
Work Order, Elements XS

Elements XS's In-App Market Place

Does Elements XS have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD ($), CAD ($), JPY (¥), CNY (¥), INR (₹)

Pros & Cons

  • Real-time GIS integration eliminates data redundancy.
  • Mobile-first approach supports field operations and offline access.
  • Flexible API architecture allows for extensive customization.
  • Low-code automation tools empower users to build workflows without deep technical knowledge.
  • Strong customer support with tutorials, videos, and helpful documentation.
  • Limited language support—currently only available in English.
  • No clear pricing transparency on the website.
  • No marketplace for plugins or additional modules.
  • Primarily focused on utilities and local government; may not be suited for other industries.
  • Unclear performance benchmarks, particularly for handling large datasets.

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