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Founded 2023
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Pitchit, Omnistrate and Sola. These Vellum competitors have raised $54.6M and together serve more than 790K customers and employ over 773 team members.
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
Omnistrate is the universal software distribution platform that helps ISVs standardize delivery across Hosted, BYOC, and On-prem environments at any scale.
AI & Machine Learning Operationalization (MLOps) Software
Omnistrate is the universal software distribution platform that helps ISVs standardize delivery across Hosted, BYOC, and On-prem environments at any scale.
AI & Machine Learning Operationalization (MLOps) Software
PipeCandy is an intelligent outbound prospecting software that helps sales rep find the right prospects & reach out to them with a high contextual message.
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
Expo is a company that operates expo.dev and is owned by Expo Technologies, Inc. Expo is a free and open-source platform for building and deploying mobile applications (apps) for iOS, Android and the web. It is aimed at helping developers build native-like apps in a simpler and faster way using only JavaScript and React. Expo offers a range of tools, including easy-to-use APIs to access phone features, such as camera, contacts, push notifications and location, and an online platform to create, manage and deploy client apps. The Expo platform is designed to be developer-friendly and offers a lot of flexibility in terms of customization, making it suitable for startups, individuals and large enterprises alike. Expo Technologies is headquartered in New York, USA and has received backing from various investors in the technology industry.
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
Luminovo is a SaaS provider building the electronics operating system for EMS, OEMs, and distributors to accelerate technological progress.
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 .
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.
AI & Machine Learning Operationalization (MLOps) Software
YOM is a digital sales platform by Machine Learning (AI) that allows business by improving sales, and expanding the product.
AI & Machine Learning Operationalization (MLOps) Software
YOM is a digital sales platform by Machine Learning (AI) that allows business by improving sales, and expanding the product.
AI & Machine Learning Operationalization (MLOps) Software
Provider of a semantic software designed to help in keeping data organized and easily accessible. The company's software manages purchasing and spending processes by analyzing non-structured data available in any language, enabling organizations to reduce cost and improve efficiency while proving transparency to business data.
AI & Machine Learning Operationalization (MLOps) Software
Developer of supply chain management tools designed to connect to customers and suppliers in a global flow network. The company's software computes in real time the optimal stock level and replenishment using a combination of artificial intelligence and optimization, enabling companies to visualize the orders status, inventory levels and planning.
AI & Machine Learning Operationalization (MLOps) Software
Developer of supply chain management tools designed to connect to customers and suppliers in a global flow network. The company's software computes in real time the optimal stock level and replenishment using a combination of artificial intelligence and optimization, enabling companies to visualize the orders status, inventory levels and planning.
AI & Machine Learning Operationalization (MLOps) Software
SAAS, B2B, DeepTech, Talent Supply chain automation, HR, Recruitment
