- Revenue
- $2M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 13
- Location
- United States
Top Industrial Next Alternatives, Competitors & Similar Software
Founded 2021
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Flint, Flint and Vendora. These Industrial Next competitors have raised $9.1M and together serve more than - customers and employ over 415 team members.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Ecommerce Enablement for the $1T Grocery Industry
- Revenue
- $2M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Symbe is an AI-powered, Collaborative Business Case Platform that automates and standardizes the creation of compelling business cases, delivering value-selling at scale. #1 Easiest to use according to G2
- Revenue
- $2M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 13
- Location
- United Kingdom

AI & Machine Learning Operationalization (MLOps) Software
AI copilot for real-estate sales teams, powered by proprietary data
- Revenue
- $2M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Founded by Stanford AI researchers, Actively is an AI-powered pipeline generation agent that help outbound teams prioritize, personalize, and increase pipeline. Built specifically for growth and enterprise companies.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
AI copilot for real-estate sales teams, powered by proprietary data
- Revenue
- $2M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Founded by Stanford AI researchers, Actively is an AI-powered pipeline generation agent that help outbound teams prioritize, personalize, and increase pipeline. Built specifically for growth and enterprise companies.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
FunnelStory is a Revenue Platform for Sales and Customer Success teams. Our Time-traveling AI turns your product usage data into revenue gold. B2B Sales have been transformed in the last decade. Still, revenue intelligence infrastructure in most B2B companies lacks product usage-based intent data, which is crucial for self-serve trials, digital customer success, and customer lifecycle marketing use cases. In a few cases where it does exist partially, it is often painfully excruciating, time-consuming engineering work that an organization requires to make it a reality. For example, in the field of customer success tools that rely on product usage, conversation, and support data, an average implementation requires 3-6 months of effort and breaks down like a house of cards on product feature updates. Consequently, B2B firms struggle to scale self-serve trials and digital customer success and that causes wasted efforts on bad opportunities, incorrect sales forecasts, and missed revenue opportunities (conversion, expansion, upsell) FunnelStory is the solution to this problem. FunnelStory's time-traveling AI scours data - actions, whispers, even tickets - to learn what makes best customers thrive. It then crafts flawless funnels, nudges accounts toward success and signals sales when accounts are primed to grow. FunnelStory has been adopted by forward-looking and high-growth companies, many of which have been mentioned in the LightSpeed Cyber60 report for 2023. You can learn more at www.funnelstory.ai
- Revenue
- $2M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
FunnelStory is a Revenue Platform for Sales and Customer Success teams. Our Time-traveling AI turns your product usage data into revenue gold. B2B Sales have been transformed in the last decade. Still, revenue intelligence infrastructure in most B2B companies lacks product usage-based intent data, which is crucial for self-serve trials, digital customer success, and customer lifecycle marketing use cases. In a few cases where it does exist partially, it is often painfully excruciating, time-consuming engineering work that an organization requires to make it a reality. For example, in the field of customer success tools that rely on product usage, conversation, and support data, an average implementation requires 3-6 months of effort and breaks down like a house of cards on product feature updates. Consequently, B2B firms struggle to scale self-serve trials and digital customer success and that causes wasted efforts on bad opportunities, incorrect sales forecasts, and missed revenue opportunities (conversion, expansion, upsell) FunnelStory is the solution to this problem. FunnelStory's time-traveling AI scours data - actions, whispers, even tickets - to learn what makes best customers thrive. It then crafts flawless funnels, nudges accounts toward success and signals sales when accounts are primed to grow. FunnelStory has been adopted by forward-looking and high-growth companies, many of which have been mentioned in the LightSpeed Cyber60 report for 2023. You can learn more at www.funnelstory.ai
- Revenue
- $2M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Minoa is the leading AI-powered business case platform for modern GTM Teams. We believe that the current market conditions have shaped a new normal. Organizations are not interested in integrating new vendors without understanding the impact on business outcomes and the final ROI. We help GTM teams build strong business cases in a few minutes. Schedule a demo to find out how Minoa can help you with pricing and packaging. Book here: https://www.minoa.io
- Revenue
- $2M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Building LLMs for Large Enterprises.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Minoa is the leading AI-powered business case platform for modern GTM Teams. We believe that the current market conditions have shaped a new normal. Organizations are not interested in integrating new vendors without understanding the impact on business outcomes and the final ROI. We help GTM teams build strong business cases in a few minutes. Schedule a demo to find out how Minoa can help you with pricing and packaging. Book here: https://www.minoa.io
- Revenue
- $2M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 13
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Operata monitors performance and analyzes quality data from your calls. Every call, every agent, everywhere. Then uses machine learning to diagnose issues, automatically take action and communicate with agents to improve the contact center environment. Operata increases the accuracy of evaluations, assures quality migration, accelerates adoption and enhances service performance and reporting. Available globally as a scalable, simple to deploy SaaS solution, Operata customers include leading insurers, telcos, banks and MSP's
- Revenue
- $1.9M
- Customers
- -
- Year founded
- 2017
- Funding
- $1.6M
- Team size
- 20
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Developer of global IoT sensors and SaaS application designed to monitor industrial assets, equipment, goods and vehicles. The company's ready-to-use IoT sensors measure geolocation, volume, weight, temperature and other key indicators all over Europe as well as its SaaS mobile application facilitates intuitive data management and calibration of business indicators, enabling customers to reinvent the management of industrial physical assets.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 64
- Location
- France

AI & Machine Learning Operationalization (MLOps) Software
Developer of global IoT sensors and SaaS application designed to monitor industrial assets, equipment, goods and vehicles. The company's ready-to-use IoT sensors measure geolocation, volume, weight, temperature and other key indicators all over Europe as well as its SaaS mobile application facilitates intuitive data management and calibration of business indicators, enabling customers to reinvent the management of industrial physical assets.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 64
- Location
- France

AI & Machine Learning Operationalization (MLOps) Software
Water damage is costing insurance companies and property owners $11 Billion dollars annually. Most properties do not have adequate technology to tackle the tricky ways in which water threatens the stability of life for owners and occupants. Kairos created a patented water technology system that is designed from the ground up to tackle the threat of water damage and utility waste from virtually any source using advanced wireless sensors and smart water meters that feature an automatic shutoff valve. By utilizing our cutting-edge platform, clients will feel more secure about the condition of their property at any given moment with real time insight and control by minimizing exposure to catastrophic losses from sources of water. We manufacture cloud-connected water meters and smart sensors that produce critical data to help commercial and residential property owners to prevent billions in water damage caused by leaks. Our system also enables better water conservation and management overa
- Revenue
- $2M
- Customers
- -
- Year founded
- 2017
- Funding
- $3.8M
- Team size
- 28
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Water damage is costing insurance companies and property owners $11 Billion dollars annually. Most properties do not have adequate technology to tackle the tricky ways in which water threatens the stability of life for owners and occupants. Kairos created a patented water technology system that is designed from the ground up to tackle the threat of water damage and utility waste from virtually any source using advanced wireless sensors and smart water meters that feature an automatic shutoff valve. By utilizing our cutting-edge platform, clients will feel more secure about the condition of their property at any given moment with real time insight and control by minimizing exposure to catastrophic losses from sources of water. We manufacture cloud-connected water meters and smart sensors that produce critical data to help commercial and residential property owners to prevent billions in water damage caused by leaks. Our system also enables better water conservation and management overa
- Revenue
- $2M
- Customers
- -
- Year founded
- 2017
- Funding
- $3.8M
- Team size
- 28
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Provider of application programming interface and service exchange. The company's platform, enables organizations to handle data-intensive and device-centric computing functions at the edge of the network and simplifies integration with virtually any local application or cloud service through RESTful APIs and standard communications protocols.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 21
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Provider of application programming interface and service exchange. The company's platform, enables organizations to handle data-intensive and device-centric computing functions at the edge of the network and simplifies integration with virtually any local application or cloud service through RESTful APIs and standard communications protocols.
- Revenue
- $2M
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 21
- Location
- United States
