- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 23
- Location
- United States
Top Reef AI Alternatives, Competitors & Similar Software
Founded 2021
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Vellum, Vellum and Zuar. These Reef AI competitors have raised $66.3M and together serve more than 3.9M customers and employ over 772 team members.
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 23
- Location
- United States

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.
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2015
- Funding
- -
- Team size
- 23
- Location
- United States

- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 23
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
AI Lead Qualification as a Service (LQaaS). Qualify your inbound leads from every channel, labor-free.
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 23
- Location
- United States

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
- Revenue
- $3.4M
- Customers
- 46
- Year founded
- 2017
- Funding
- -
- Team size
- 61
- Location
- United States

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
- Revenue
- $3.4M
- Customers
- 46
- Year founded
- 2017
- Funding
- -
- Team size
- 61
- Location
- United States

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.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2015
- Funding
- -
- Team size
- 44
- Location
- United Kingdom

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.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2010
- Funding
- $9.8M
- Team size
- 59
- Location
- France

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.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2010
- Funding
- $9.8M
- Team size
- 59
- Location
- France
- Revenue
- $3.5M
- Customers
- 12
- Year founded
- 2018
- Funding
- $1.7M
- Team size
- 12
- Location
- United States
- Revenue
- $3.5M
- Customers
- 12
- Year founded
- 2018
- Funding
- $1.7M
- Team size
- 12
- Location
- United States
- Revenue
- $3.5M
- Customers
- 12
- Year founded
- 2018
- Funding
- $1.7M
- Team size
- 12
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Comintelli provides a software for competitive intelligence professionals.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 1999
- Funding
- -
- Team size
- 27
- Location
- Sweden

AI & Machine Learning Operationalization (MLOps) Software
Genus AI is a Growth Platform for D2C brands, helping them acquire, engage and retain their customers
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2017
- Funding
- $3M
- Team size
- 25
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
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 .
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 124
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
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.
- Revenue
- $3.5M
- Customers
- 3.9M
- Year founded
- 2003
- Funding
- $1M
- Team size
- 58
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Provider of a live TV dashboards designed to help everyone in team to focus on work. The company's live TV dashboard tools collect business information from many online services, summarizes it to distill the key messages and displays, enabling users to be honest and effective by using data to set clear goals.
- Revenue
- $3.5M
- Customers
- 3.6K
- Year founded
- 2010
- Funding
- $1.5M
- Team size
- 28
- Location
- United Kingdom

AI & Machine Learning Operationalization (MLOps) Software
Turning Delivery into a marketing engine
- Revenue
- $3.4M
- Customers
- 24
- Year founded
- 2016
- Funding
- $8M
- Team size
- 24
- Location
- Israel

AI & Machine Learning Operationalization (MLOps) Software
Developer of industrial planning and scheduling platform intended to apply cutting-edge technology to industrial data. The company's industrial planning and scheduling platform offers engineering optimization and statistical data analytics for enabling industrial automation in the process systems and energy sector, enabling them to improve operational efficiency and reduce operational cost.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2016
- Funding
- $28.1M
- Team size
- 51
- Location
- United Kingdom

