
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 23
- Location
- United States
Founded 2012
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Sola, Vellum and Vellum. These mnubo competitors have raised $27.6M and together serve more than 128 customers and employ over 598 team members.


AI & Machine Learning Operationalization (MLOps) Software
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics

AI & Machine Learning Operationalization (MLOps) Software
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics

AI & Machine Learning Operationalization (MLOps) Software
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics

AI & Machine Learning Operationalization (MLOps) Software
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics

AI & Machine Learning Operationalization (MLOps) Software
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics

AI & Machine Learning Operationalization (MLOps) Software
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics

AI & Machine Learning Operationalization (MLOps) Software
Zuar is the analytics headquarters for organizations of all sizes. Automate the flow of data from hundreds of potential sources into a single destination for analytics, fully prepped and ready for use. With Zuar Portal, provide customized, secure, global analytics access to any audience. It's a powerful platform with unrivaled flexibility.

AI & Machine Learning Operationalization (MLOps) Software
AI Lead Qualification as a Service (LQaaS). Qualify your inbound leads from every channel, labor-free.

AI & Machine Learning Operationalization (MLOps) Software
The FenixCommerce Intelligent Delivery Platform (IDP) calculates and displays accurate, cost-optimized order cut-off and delivery dates on your product, cart, and checkout pages. This allows you to set clear expectations that improve the overall shopper experience while: - Improving end-to-end conversion an average of 14% - Reducing cart abandonment an average of 38% - Reducing pre-sales inquiries by more than 75% - Increasing shipping revenue an average of 21% Fenix clients range from startups to major retail brands, the largest of which ships over a million orders per year from over 800 fulfillment locations. Every one of our clients sees positive return on their investment in Fenix from day 1. The Fenix IDP algorithms accomplish this by analyzing: - Customer location, by looking at known customer shipping address or via IP-based geolocation for unknown customers, while also allowing customers to enter an alternate delivery zip code - Inventory location, by looking at real-time da

AI & Machine Learning Operationalization (MLOps) Software
The FenixCommerce Intelligent Delivery Platform (IDP) calculates and displays accurate, cost-optimized order cut-off and delivery dates on your product, cart, and checkout pages. This allows you to set clear expectations that improve the overall shopper experience while: - Improving end-to-end conversion an average of 14% - Reducing cart abandonment an average of 38% - Reducing pre-sales inquiries by more than 75% - Increasing shipping revenue an average of 21% Fenix clients range from startups to major retail brands, the largest of which ships over a million orders per year from over 800 fulfillment locations. Every one of our clients sees positive return on their investment in Fenix from day 1. The Fenix IDP algorithms accomplish this by analyzing: - Customer location, by looking at known customer shipping address or via IP-based geolocation for unknown customers, while also allowing customers to enter an alternate delivery zip code - Inventory location, by looking at real-time da

AI & Machine Learning Operationalization (MLOps) Software
Developer of a real estate database platform designed to offer commercial and residential property data. The company's platform is based on cloud-storage and updated continuously to offer every latest news of the real estate market, enabling users to get authentic data about any property easily.

AI & Machine Learning Operationalization (MLOps) Software
Genus AI is a Growth Platform for D2C brands, helping them acquire, engage and retain their customers

AI & Machine Learning Operationalization (MLOps) Software
Provider of cloud-based platform designed to collect, match and activate data. The company's cloud-based platform allows to standardize data collection at the source, transform it into actionable strategies, enabling businesses to send the right message, at the right time, to every single one of their clients and prospects, whatever their preferred channel and improve relevance and optimize their media budget.

AI & Machine Learning Operationalization (MLOps) Software
Provider of cloud-based platform designed to collect, match and activate data. The company's cloud-based platform allows to standardize data collection at the source, transform it into actionable strategies, enabling businesses to send the right message, at the right time, to every single one of their clients and prospects, whatever their preferred channel and improve relevance and optimize their media budget.
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