- Revenue
- $880K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 8
- Location
- United Kingdom
Top CoHost Podcasting Alternatives, Competitors & Similar Software
Founded 2021
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Motives, Wedge and Supercog AI. These CoHost Podcasting competitors have raised - and together serve more than - customers and employ over 160 team members.
- Revenue
- $880K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Supercog agents can read any kind of file, and connect to any system you have at work. They can process files, answer questions, connect to systems and take action on your behalf. The platform is extensible for your company to handle your specific systems and use cases.
- Revenue
- $880K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 8
- Location
- United States
- Revenue
- $880K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 8
- Location
- United Kingdom
- Revenue
- $880K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 8
- Location
- United Kingdom

AI & Machine Learning Operationalization (MLOps) Software
, system integration and training. Its strongest areas of expertise are ERP (SAP), AI and web platforms. With more than 20 years of experience in the IT sector
- Revenue
- $880K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 8
- Location
- Italy

AI & Machine Learning Operationalization (MLOps) Software
Personalized and predictive AI platforms
- Revenue
- $880K
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Supercog agents can read any kind of file, and connect to any system you have at work. They can process files, answer questions, connect to systems and take action on your behalf. The platform is extensible for your company to handle your specific systems and use cases.
- Revenue
- $880K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Lana Labs GmbH is an innovative process mining software company based in Berlin. Our solution LANA Process Mining is the first software providing automated target-actual analysis of business processes. Thereby LANA saves time and costs in the process analysis and enables analysts to dedicate their efforts to the actual improvement. Through LANA's automated analysis of business operations and their conformance with predefined process models, the previously time consuming, manual analysis is now done by LANA within seconds. Decisions for process optimization measures can now be based on facts and their actual performance can be measured over time to support continuous improvement strategies. With an accurate overview of process improvement potential the focus can be shifted to actual optimization, while analysis is automated. Automated Process Analysis with LANA - The Virtual Optimization Assistant: * Process Discovery * Process Modeler * Conformance Checking * Performance Analysis * Process Dashboards * Root Cause Analysis / Machine Learning * Prediction / Machine Learning Start discovering your hidden potential now! Legal Info: Lana Labs GmbH Muskauer Str. 43 10997 Berlin [email protected] www.lanalabs.com Amtsgericht Charlottenburg HRB 177930 B Geschäftsführung: Karina Buschsieweke Dr. Thomas Baier Dr. Rami-Habib Eid-Sabbagh
- Revenue
- $880K
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 8
- Location
- Germany

AI & Machine Learning Operationalization (MLOps) Software
Lana Labs GmbH is an innovative process mining software company based in Berlin. Our solution LANA Process Mining is the first software providing automated target-actual analysis of business processes. Thereby LANA saves time and costs in the process analysis and enables analysts to dedicate their efforts to the actual improvement. Through LANA's automated analysis of business operations and their conformance with predefined process models, the previously time consuming, manual analysis is now done by LANA within seconds. Decisions for process optimization measures can now be based on facts and their actual performance can be measured over time to support continuous improvement strategies. With an accurate overview of process improvement potential the focus can be shifted to actual optimization, while analysis is automated. Automated Process Analysis with LANA - The Virtual Optimization Assistant: * Process Discovery * Process Modeler * Conformance Checking * Performance Analysis * Process Dashboards * Root Cause Analysis / Machine Learning * Prediction / Machine Learning Start discovering your hidden potential now! Legal Info: Lana Labs GmbH Muskauer Str. 43 10997 Berlin [email protected] www.lanalabs.com Amtsgericht Charlottenburg HRB 177930 B Geschäftsführung: Karina Buschsieweke Dr. Thomas Baier Dr. Rami-Habib Eid-Sabbagh
- Revenue
- $880K
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 8
- Location
- Germany

AI & Machine Learning Operationalization (MLOps) Software
Personalized and predictive AI platforms
- Revenue
- $880K
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Aadhunik AI is here to make artificial intelligence accessible and practical for everyone. Whether you’re a tech enthusiast, a business professional, or just starting your AI journey, we’ve got you covered.
- Revenue
- $880K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 8
- Location
- India

AI & Machine Learning Operationalization (MLOps) Software
XOlabs provides technology specializing in musculoskeletal health, offering measurement tools and data collection solutions for clinicians. Our systems quantify previously subjective data to help inform musculoskeletal performance and rehabilitation decisions. XOlabs aims to improve patient care and rehabilitation outcomes through objective assessments and actionable insights.
- Revenue
- $880K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 8
- Location
- India

AI & Machine Learning Operationalization (MLOps) Software
Analyze any footage, without training a model
- Revenue
- $880K
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Personalized and predictive AI platforms
- Revenue
- $880K
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Personalized and predictive AI platforms
- Revenue
- $880K
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Aadhunik AI is here to make artificial intelligence accessible and practical for everyone. Whether you’re a tech enthusiast, a business professional, or just starting your AI journey, we’ve got you covered.
- Revenue
- $880K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 8
- Location
- India

AI & Machine Learning Operationalization (MLOps) Software
Entelligence.AI is an artificial intelligence platform designed to tackle inefficiencies in large engineering teams. It focuses on streamlining tasks outside of coding, such as onboarding, planning, and code reviews. The platform uses AI to help engineers quickly navigate complex systems, reduce time to productivity, and unify context from various sources like pull requests and documentation.
- Revenue
- $880K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 8
- Location
- United States

AI & Machine Learning Operationalization (MLOps) Software
Entelligence.AI is an artificial intelligence platform designed to tackle inefficiencies in large engineering teams. It focuses on streamlining tasks outside of coding, such as onboarding, planning, and code reviews. The platform uses AI to help engineers quickly navigate complex systems, reduce time to productivity, and unify context from various sources like pull requests and documentation.
- Revenue
- $880K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 8
- Location
- United States
- Revenue
- $880K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 8
- Location
- United States



