EZER is an autonomous CRM intelligence agent for B2B SaaS companies. It watches every customer relationship in real time, predicts who is about to churn using machine learning, and automatically acts , sending personalised retention emails, escalating at-risk accounts, and triggering upgrade offers - before the customer leaves.
Unlike traditional customer success tools that show you who is at risk and wait for a human to act, EZER closes the loop autonomously. No dashboard to check. No signal to miss.
EZER connects to your existing CRM tools and starts running on your real customer data immediately. Built for B2B SaaS teams with 200 to 5,000 customers who have no dedicated customer success team.
Lonieta is a customer churn early-warning system for SMBs. Customers rarely leave overnight: weeks of small signals come first, such as a late payment, declining usage or a complaint that lingers. Lonieta connects those signals, alerts you as soon as a customer is at risk, and suggests a concrete next action. After you step in, Lonieta shows in black and white whether it worked (save rate, retained revenue). No data team or model building required. Lonieta runs on-premises and is privacy-by-design (GDPR), so customer data never leaves your organization. Built for companies with recurring customer relationships: SaaS, wholesale/B2B, transport & logistics, business services, healthtech and insurance.
Xdroid Ticketing Analytics extends the Xdroid Interaction Analytics platform by adding
ticket and case analytics, enabling organizations to connect customer interactions with
the internal processes that lead to issue resolution.
While voice, chat and email provide visibility into customer-facing conversations,
Ticketing Analytics reveals what happens behind the scenes: how cases are managed,
which teams are involved, how efficiently issues are resolved, and how the resolution is
ultimately communicated back to the customer.
By analyzing every stage of the service lifecycle within a single AI-powered platform,
organizations gain a complete end-to-end view of the customer journey: from the
customer's first interaction, through back-office resolution, to the final communication
that closes the case.
Flidget helps SaaS founders find out exactly why users cancel in real time. When a user clicks cancel, a small chat appears instantly and asks why. They reply in text or voice, and the real reason lands in your dashboard immediately. Flidget also runs drift detection in the background, labelling every user as Healthy, Risky, or Drifting based on actual usage so you can intervene before they ever reach the cancel button.
RevHawk is the customer retention platform built for pest control companies. It uses AI-powered health scoring to predict which customers are likely to cancel, then automatically executes save workflows — targeted retention offers, service adjustment options, and re-engagement campaigns — before the cancellation finalizes.
ChurnGuard is a churn prevention platform built for small SaaS teams running on Stripe. Most founders find out a customer churned after the revenue is already gone — ChurnGuard flips that. It connects to your Stripe account in about 5 minutes and watches every subscription for risk signals: failed payments, usage drops, and cancellation intent. When a payment fails, automated dunning sequences (email plus SMS via your own Twilio account) go out immediately. When a customer goes quiet, you get a Slack alert while there's still time to act. Retention, pause, and win-back playbooks run without a Customer Success hire. ChurnGuard is reviewed and listed on the Stripe App Marketplace. Setup takes 5 minutes, there's a 30-day free trial, and you can cancel anytime.
Appreciate Engine is customer retention software for small service businesses that live on repeat work and referrals: HVAC, plumbing, landscaping, cleaning, salons, auto detailing, and 75+ other trades.
A daily action hub surfaces who to reach out to and why: birthdays, service anniversaries, seasonal check-ins, and customers who have gone quiet. Each moment comes with a suggested message; you send it yourself from your own phone (scan a QR to text) or email, so nothing goes out automated and every touch reads like a real person.
Beyond the hub: design branded cards and print them at home or send them as e-cards from your own Microsoft 365/Outlook address, see past customers near today's job, log outcomes with one tap to see the revenue your outreach produces, and import customers from QuickBooks (read-only) or CSV. Team seats with per-person permissions are on every plan.
Plans from $59/month, sized by customer count. 14-day free trial, no credit card.
ChurnSense is an AI powered customer churn prediction platform that helps B2B SaaS businesses identify customers at risk of leaving before they churn. It provides daily churn risk scores, actionable insights, and AI generated retention recommendations, enabling businesses to proactively engage at risk customers, improve retention, and reduce revenue loss.
Cuoral helps digital businesses spot signs of customer frustration and disengagement early, giving Customer Success, Support, Product, and Growth teams the context to respond before a customer decides to leave. It brings together behavioral insights, session replay, interaction analysis, and customer engagement tools to help teams investigate product or support issues, identify accounts that may need attention, and coordinate follow-up through channels such as WhatsApp, email, SMS, and voice. Built for SaaS, fintech, commerce, and other online businesses, Cuoral helps turn customer activity into practical steps for improving customer experience and retention.
Sellrise is an AI retention CRM for online casinos. Every morning it gives the retention team a short list: which players are about to leave, which new players look like future VIPs, and who would deposit anyway without a bonus. For each player it suggests when to reach out, through which channel and with which offer from the operator's own bonus catalogue; a person decides and sends. Sellrise works from Player ID and the operator's events, with no platform rebuild, and keeps a separate database for every client. Pilots run for one month against a control group, with the metric agreed before the start.
Red Hat JBoss Web Server is an enterprise-grade solution designed for developing and managing large-scale websites and lightweight Java web applications. It integrates the widely used Apache HTTP Server with the Apache Tomcat servlet engine, offering a secure and stable environment tailored for demanding business needs.
Key Features and Functionality:
- Integrated Software Package: Provides a comprehensive suite of certified and integrated components, including Apache HTTP Server and Apache Tomcat, facilitating seamless web application development and management.
- Long-term Stability: Ensures a reliable web application infrastructure with predictable updates, including defect fixes and new features, maintaining application compatibility for up to five years.
- Unified Management Portal: Offers centralized access for software management through the Red Hat enterprise IT operations portal, providing update and alert notifications.
- Dedicated Security: Employs Red Hat's dedicated Product Security team to proactively track and address security issues, delivering critical updates as they are identified.
Primary Value and User Solutions:
Red Hat JBoss Web Server simplifies the deployment and management of web applications by reducing complexity through an all-in-one subscription model. It enhances stability with long-term support and predictable updates, ensuring a secure and reliable foundation for business-critical applications. Additionally, its proactive security measures safeguard web applications against potential threats, providing peace of mind for enterprises.
The Opioid Addiction Disease State Predictor is an advanced analytical tool designed to identify individuals at risk of developing opioid use disorder (OUD. By leveraging machine learning algorithms and comprehensive electronic health records (EHR, this solution enables healthcare providers to proactively address potential cases of OUD, facilitating early intervention and personalized care strategies.
Key Features and Functionality:
- Predictive Analytics: Utilizes sophisticated machine learning models to analyze patient data and predict the likelihood of OUD development.
- Comprehensive Data Integration: Incorporates a wide range of patient information, including demographics, medical history, prescriptions, and social determinants of health, to enhance prediction accuracy.
- Early Detection: Identifies at-risk individuals before the onset of OUD, allowing for timely and targeted interventions.
- Clinical Decision Support: Provides actionable insights to healthcare professionals, aiding in the formulation of personalized treatment plans and preventive measures.
Primary Value and Problem Solved:
The Opioid Addiction Disease State Predictor addresses the critical need for early identification of individuals susceptible to opioid use disorder. By enabling healthcare providers to detect risk factors and potential cases before they escalate, the tool supports proactive intervention strategies. This not only improves patient outcomes by preventing the progression to full-blown addiction but also contributes to the broader effort of mitigating the opioid epidemic's impact on communities and healthcare systems.
Goodfeed is a Swedish-based software solution tailored specifically for the consulting industry, empowering businesses to strengthen client relationships by unlocking the insights within "soft values"—the often-overlooked factors that drive loyalty and long-term partnerships.
We developed Goodfeed to provide consulting firms with the tools to transcend traditional client follow-up and truly understand what fuels client satisfaction. Our unique model seamlessly integrates follow-up into the client journey, delivering actionable insights to become more proactive and cultivate sustainable relationships.
With Goodfeed, consulting businesses can:
- Increase client retention and satisfaction by leveraging data-driven insights into client needs and expectations.
- Boost revenue potential by identifying hidden opportunities for upselling and service improvements.
- Enhance brand reputation through structured and measurable follow-ups that demonstrate commitment to quality.
- Streamline operations with an automated feedback process that saves time and reduces manual effort.
- Gain a competitive edge by transforming client interactions into long-term partnerships with data-backed decision-making.
Our focus is on delivering a model for proactive, insight-driven follow-up. By implementing structured, continuous follow-up, Goodfeed enables consulting firms to reinforce collaborations, reduce client churn, and foster more enduring relationships over time.
Goodfeed provides the tools to grasp what truly matters to consulting clients, and to act upon that understanding, specifically designed for the unique challenges of the consulting industry.
VUNO Med®-DeepCARS® is an AI-powered medical device designed to predict the risk of in-hospital cardiac arrest within the next 24 hours for patients in general wards. By continuously analyzing vital signs—including blood pressure, heart rate, respiratory rate, and body temperature—DeepCARS® provides a risk score ranging from 0 to 100, enabling healthcare professionals to monitor patients effectively and manage risks proactively.
Key Features and Functionality:
- Simplicity: Utilizes only four vital signs to generate a cardiac arrest risk score, facilitating straightforward integration into existing clinical workflows.
- Effectiveness: Demonstrated high predictive accuracy in multicenter studies, with an area under the receiver operating characteristic curve (AUROC) of 0.860 in internal validation and 0.905 in external validation.
- Efficiency: On average, provides a 15.8-hour lead time from the first prediction to the actual occurrence of cardiac arrest, allowing for timely clinical interventions.
Primary Value and User Benefits:
DeepCARS® addresses the critical need for early detection of potential cardiac arrests in hospitalized patients. By offering timely and accurate risk assessments, it empowers healthcare providers to intervene proactively, thereby enhancing patient safety and improving clinical outcomes. Its simplicity and efficiency make it a valuable tool in general wards, supporting medical staff in delivering prompt and effective care.