Founded 2023
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Mayday.ai GmbH, Fine | AI Coding Agent for Startups and Zeon Systems. These Tenum AI competitors have raised $9.8M and together serve more than - customers and employ over 140 team members.
AI & Machine Learning Operationalization (MLOps) Software
Global Risk, Disaster, & Environmental Intelligence powered by AI based Data Fusion Engine
AI & Machine Learning Operationalization (MLOps) Software
Fine is a purpose built AI coding agent designed to streamline software development for startups and agile teams. By automating repetitive tasks like testing, debugging, and CI/CD setup, Fine allows developers to focus on what matters delivering impactful, production-ready code. With its seamless integration into existing workflows, Fine learns your coding style and scales effortlessly to meet the demands of complex projects.
AI & Machine Learning Operationalization (MLOps) Software
AI-powered robotics for scientific lab automation.
AI & Machine Learning Operationalization (MLOps) Software
Global Risk, Disaster, & Environmental Intelligence powered by AI based Data Fusion Engine
AI & Machine Learning Operationalization (MLOps) Software
Breadcrumb is the simplest and most intelligent AI agent analysis platform - empowering business managers to automate data work and data presentation without data analysts or data engineers. 🔬 We do this through an army of end-to-end AI agents that do data analyst and data engineering tasks in real time. This includes data ingestion, transformation, visualization, and storytelling. 📈 Our goal is to empower companies to understand and act on their data so they can reduce manual work, accelerate decision making, and deliver customized insights to customers and accounts.
AI & Machine Learning Operationalization (MLOps) Software
Breadcrumb is the simplest and most intelligent AI agent analysis platform - empowering business managers to automate data work and data presentation without data analysts or data engineers. 🔬 We do this through an army of end-to-end AI agents that do data analyst and data engineering tasks in real time. This includes data ingestion, transformation, visualization, and storytelling. 📈 Our goal is to empower companies to understand and act on their data so they can reduce manual work, accelerate decision making, and deliver customized insights to customers and accounts.
AI & Machine Learning Operationalization (MLOps) Software
AI-powered robotics for scientific lab automation.
AI & Machine Learning Operationalization (MLOps) Software
Update: MindX and its team have been acquired by Blackrock Neurotech, and you can follow our continued work there! At MindX, we're combining neurotechnology, augmented reality and artificial intelligence to create a "look-and-think” interface for next- generation spatial computing applications.
AI & Machine Learning Operationalization (MLOps) Software
— 🤖 AI Agents: Your unfair business advantage 🧠 We automate content, sales, support & more 🏢 Trusted by Google & JP Morgan — 👉🏼 Start automating today
AI & Machine Learning Operationalization (MLOps) Software
DevArmor is building AI agents that automate manual security reviews and threat modeling. Just as Vanta streamlined slow and costly compliance management, DevArmor automates security reviews. DevArmor seamlessly integrates real-time, high-fidelity security reviews informed by threat models into development workflows. While other solutions focus on known code vulnerabilities, DevArmor extracts business logic and security patterns before any code is written. By integrating with developer platforms such as Jira, Notion, Vanta, Drata, AWS, and Terraform, DevArmor processes design docs, policy docs, and compliance requirements to generate structured threat modeling. It also validates design implementation by integrating with source code management platforms like GitHub and GitLab. Through workflow integration, real-time feedback, and enforcement, DevArmor: - Reduces security backlog by 80% - Saves security teams 30% of their time - Accelerates software releases by 3 months
AI & Machine Learning Operationalization (MLOps) Software
DevArmor is building AI agents that automate manual security reviews and threat modeling. Just as Vanta streamlined slow and costly compliance management, DevArmor automates security reviews. DevArmor seamlessly integrates real-time, high-fidelity security reviews informed by threat models into development workflows. While other solutions focus on known code vulnerabilities, DevArmor extracts business logic and security patterns before any code is written. By integrating with developer platforms such as Jira, Notion, Vanta, Drata, AWS, and Terraform, DevArmor processes design docs, policy docs, and compliance requirements to generate structured threat modeling. It also validates design implementation by integrating with source code management platforms like GitHub and GitLab. Through workflow integration, real-time feedback, and enforcement, DevArmor: - Reduces security backlog by 80% - Saves security teams 30% of their time - Accelerates software releases by 3 months
AI & Machine Learning Operationalization (MLOps) Software
At Impactcraft, we empower Customer Success teams to make smarter, data-driven decisions using AI-powered solutions. Our platform transforms diverse data sources into actionable insights, enabling Customer Success Managers (CSMs) to engage proactively, reduce churn, and drive account expansion. With us, your business can turn customer health insights into growth opportunities. What We Offer: Advisory Services: As thought partners to Customer Success leadership, we help optimize strategies, identify opportunities, and enhance performance through best-in-class practices. AI-Driven Customer Success Platform: Our Generative AI-powered digital workbench integrates internal data (adoption, customer tickets, subscription details), external insights (news), and communication data (emails) to provide a comprehensive 360° view of customer health. This AI-first platform delivers personalized guidance and insights, empowering CSMs to take proactive actions, improve efficiency, and increase Net Revenue Retention (NRR).
AI & Machine Learning Operationalization (MLOps) Software
aKube.ai provides AI Powered Solutions to Answer, Assist, and Automate Workflows. It is based in Silicon Valley with it's office in Santa Clara, CA. aKube.ai was founded by, and is managed by seasoned entrepreneurs with extensive experience in the tech industry.
AI & Machine Learning Operationalization (MLOps) Software
At Impactcraft, we empower Customer Success teams to make smarter, data-driven decisions using AI-powered solutions. Our platform transforms diverse data sources into actionable insights, enabling Customer Success Managers (CSMs) to engage proactively, reduce churn, and drive account expansion. With us, your business can turn customer health insights into growth opportunities. What We Offer: Advisory Services: As thought partners to Customer Success leadership, we help optimize strategies, identify opportunities, and enhance performance through best-in-class practices. AI-Driven Customer Success Platform: Our Generative AI-powered digital workbench integrates internal data (adoption, customer tickets, subscription details), external insights (news), and communication data (emails) to provide a comprehensive 360° view of customer health. This AI-first platform delivers personalized guidance and insights, empowering CSMs to take proactive actions, improve efficiency, and increase Net Revenue Retention (NRR).
AI & Machine Learning Operationalization (MLOps) Software
Update: MindX and its team have been acquired by Blackrock Neurotech, and you can follow our continued work there! At MindX, we're combining neurotechnology, augmented reality and artificial intelligence to create a "look-and-think” interface for next- generation spatial computing applications.
AI & Machine Learning Operationalization (MLOps) Software
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AI & Machine Learning Operationalization (MLOps) Software
Fine is a purpose built AI coding agent designed to streamline software development for startups and agile teams. By automating repetitive tasks like testing, debugging, and CI/CD setup, Fine allows developers to focus on what matters delivering impactful, production-ready code. With its seamless integration into existing workflows, Fine learns your coding style and scales effortlessly to meet the demands of complex projects.
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