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What is StormSensor?

Unlike traditional methods that limit you to occasional assessments, StormSensor® provides thorough surveillance across your entire sewershed, yielding a wealth of data that extends well beyond a mere couple of months. Our sophisticated analytics platform features real-time alerts and ongoing performance evaluation, capturing crucial insights that keep you updated on your system's operations. We empower our clients with the essential understanding required to effectively oversee their stormwater and wastewater systems, ensuring they receive prompt notifications about backups and flooding events. With StormSensor®, it becomes possible to accurately gauge overflows and pinpoint issues prior to implementing solutions based on reliable empirical data. Our dedication at StormSensor® focuses on equipping clients to make informed decisions driven by immediate data, which ultimately facilitates superior management of their infrastructure. This all-encompassing strategy not only streamlines monitoring processes but also bolsters the ability to address potential challenges in a proactive manner, fostering a more resilient system overall. By investing in such comprehensive capabilities, organizations can significantly enhance their operational efficiency and response times.

What is DigiStorms?

DigiStorms is an AI-powered onboarding and lifecycle email automation platform designed to help SaaS businesses guide free users toward activation, engagement, and paid conversions through intelligent behavior-based communication. The platform automatically analyzes a company’s product, website, and onboarding flow to identify the milestones, actions, and user behaviors that typically lead to successful customer activation and subscription upgrades. Using this analysis, DigiStorms generates fully structured onboarding email sequences complete with subject lines, body copy, send timing, and event-based triggers tailored specifically to the product’s onboarding journey. The platform tracks user activity in real time, including signups, feature usage, milestone achievements, inactivity, stalled progress, and trial expiration timelines, then automatically delivers personalized emails at the most relevant moments. Businesses can launch onboarding automation workflows within minutes without manually designing campaigns, writing sequences from scratch, or building complicated automation logic. DigiStorms also provides visual onboarding funnel analytics that show how users move through activation milestones, where they drop off, and which stages require additional engagement or optimization. All generated emails are fully editable, giving SaaS teams complete control over messaging, branding, timing, and trigger conditions before launching campaigns. The platform integrates with email providers and product event systems through APIs and existing integrations to automate onboarding communication directly from live user behavior. DigiStorms continuously adapts onboarding sequences based on user interactions, ensuring each customer receives contextually relevant nudges, educational content, upgrade prompts, or re-engagement emails automatically.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$19/month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Not specified

Company Facts

Organization Name

StormSensor

Date Founded

2015

Company Location

United States

Company Website

www.stormsensor.io

Company Facts

Organization Name

DigiStorms

Date Founded

2026

Company Location

United Kingdom

Company Website

digistorms.ai

Categories and Features

Risk Management

Not specified

Weather Intelligence

Not specified

Categories and Features

Customer Onboarding

Not specified

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