- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 23
- Location
- United States
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
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Founded 2016
Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Vellum, Pitchit and Vellum. These EPICA competitors have raised $18.9M and together serve more than 3.9M customers and employ over 702 team members.
Data Science and Machine Learning Platforms
AI Lead Qualification as a Service (LQaaS). Qualify your inbound leads from every channel, labor-free.
Data Science and Machine Learning Platforms
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
Data Science and Machine Learning Platforms
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
Data Science and Machine Learning Platforms
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
Data Science and Machine Learning Platforms
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
Data Science and Machine Learning Platforms
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
Data Science and Machine Learning Platforms
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
Data Science and Machine Learning Platforms
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
Data Science and Machine Learning Platforms
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.
Data Science and Machine Learning Platforms
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.
Data Science and Machine Learning Platforms
Comintelli provides a software for competitive intelligence professionals.
Data Science and Machine Learning Platforms
Genus AI is a Growth Platform for D2C brands, helping them acquire, engage and retain their customers
Data Science and Machine Learning Platforms
Provider of comprehensive outcomes assessment systems intended to improve student learning and institutional quality. The company's comprehensive outcomes assessment systems offers collages and universities administrators with systems and tools to measure and assess a range of metrics including user friendly student assessment and learning, e-portfolio systems and other learning support program services.
Data Science and Machine Learning Platforms
Ambient.ai is a computer vision intelligence company founded in 2017 by Shikhar Shrestha and Vikesh Khanna. Headquartered in Redwood City, California, the company specializes in transforming physical security operations for enterprise organizations. Ambient.ai's platform leverages AI and computer vision to enhance existing sensor and camera infrastructures, enabling continuous monitoring and automated threat detection. By providing near-human perception and contextual understanding, the platform allows security teams to proactively identify and respond to potential incidents, reducing false alarms and improving operational efficiency. Ambient.ai serves a diverse range of clients, including Fortune 500 companies, educational institutions, and other organizations, aiming to secure their properties, personnel, and assets .
