Qwak
Qwak, now operating under the brand JFrog ML, is an MLOps platform that enables teams to build, deploy, manage, and monitor AI workflows, including generative AI, large language models, and classic machine learning.
Profile
Qwak provides a platform for managing the lifecycle of machine learning and AI models, from development and training to deployment and monitoring, now integrated into JFrog's software supply chain platform.
Qwak, now operating under the brand JFrog ML, is an MLOps platform that enables teams to build, deploy, manage, and monitor AI workflows, including generative AI, large language models, and classic machine learning. Founded in 2020 in Israel, the company raised a $12 million Series A1 round in March 2023 from Bessemer Venture Partners, with participation from Leaders Fund, StageOne Ventures, and Amiti, bringing total funding to $27 million. In 2024, Qwak was acquired by JFrog, the publicly traded software supply chain company (Nasdaq: FROG), and rebranded as JFrog ML.
JFrog reported fiscal 2025 revenues of $531.8 million, up 24% year-over-year, with cloud revenue of $243.3 million, up 45%. The acquisition folded Qwak's MLOps capabilities into JFrog's platform, which now includes Shadow AI detection to guard against unauthorized AI model and API usage. JFrog's customer base includes 74 customers with over $1 million in annual recurring revenue and 1,168 with over $100K ARR.
Qwak's client logos on its website include Yotpo, Notion, Lightricks, JLL, and OpenWeb, among others. The company's platform offers a unified interface for model building, training, deployment, and monitoring, with a feature store for data engineering. The integration with JFrog positions Qwak within a broader DevOps and security ecosystem, but the company now operates as a product line within a larger public entity, losing its standalone identity.
No recent standalone funding rounds or independent financial disclosures for Qwak exist post-acquisition; its performance is now reported as part of JFrog's overall results. The company's focus on MLOps and LLMOps aligns with the growing demand for AI governance and production management, but it faces competition from other integrated platforms like DataRobot, MLflow, and cloud-native services from AWS, Google, and Azure.
Who buys this
- Enterprises with large-scale machine learning operations needing centralized model management and governance
- Organizations deploying generative AI and large language models in production, requiring monitoring and security
- DevOps and platform engineering teams integrating AI workflows into existing CI/CD pipelines
- Companies in regulated industries needing audit trails and compliance for AI model deployments
Publicly disclosed clients
- Yotpo
- Notion
- Lightricks
- JLL
- OpenWeb
- Guesty
- Cirkul
Strengths and what to watch
Strengths
- Integration with JFrog's established software supply chain platform provides access to a large existing customer base and distribution channels, as evidenced by JFrog's 1,168 customers with over $100K ARR
- Unified platform covering both classic ML and generative AI/LLM workflows, reducing the need for multiple tools
- Backing from a public company with strong financials (JFrog reported $531.8 million in 2025 revenue and $704.4 million in cash) provides stability and resources for long-term development
Watch for
- As a product line within JFrog, Qwak's standalone brand and identity have been subsumed, which may dilute its market presence and make it harder to attract new customers independently
- The MLOps market is highly competitive, with established players like DataRobot, MLflow, and cloud-native services from AWS, Google, and Azure, as well as other acquisitions (e.g., Dataiku, H2O.ai)
- JFrog's focus on software supply chain security may shift resources away from Qwak's core MLOps features, potentially slowing innovation in model-specific capabilities
Key Information
- Industry
- Enterprise ML Platforms
- Founded
- 2020
- Headquarters
- Israel
Frequently Asked Questions
What is Qwak and what does it do?
Qwak is an MLOps platform that helps teams build, deploy, manage, and monitor AI workflows. It covers generative AI, large language models, and classic machine learning. Now operating as JFrog ML, it integrates into JFrog's software supply chain platform.
Who acquired Qwak and when?
Qwak was acquired by JFrog, a publicly traded software supply chain company, in 2024. After the acquisition, Qwak was rebranded as JFrog ML. JFrog reported fiscal 2025 revenues of $531.8 million, providing financial stability for the product line.
What are the main features of Qwak's platform?
Qwak offers a unified interface for model building, training, deployment, and monitoring. It includes a feature store for data engineering and supports both classic ML and generative AI workflows. The platform also provides Shadow AI detection to guard against unauthorized AI usage.
Who are some notable customers of Qwak?
Qwak's client logos include Yotpo, Notion, Lightricks, JLL, OpenWeb, Guesty, and Cirkul. These customers span various industries and use Qwak for large-scale machine learning operations, generative AI deployment, and integrating AI into DevOps pipelines.
How does Qwak compare to other MLOps platforms like DataRobot?
Qwak competes with DataRobot, MLflow, and cloud-native services from AWS, Google, and Azure. Its integration with JFrog's software supply chain platform gives it access to a large customer base and distribution channels, but it faces strong competition in the MLOps market.
What should I watch out for with Qwak after the JFrog acquisition?
Qwak's standalone brand has been subsumed under JFrog ML, which may dilute its market presence. The MLOps market is highly competitive, and JFrog's focus on software supply chain security could shift resources away from Qwak's core MLOps features, potentially slowing innovation.
Sources
- www.qwak.com — Company description, product offerings, and client logos (Yotpo, Notion, Lightricks, JLL, OpenWeb, Guesty, Cirkul)
- investors.jfrog.com — JFrog fiscal 2025 financial results, including revenue of $531.8 million, cloud revenue of $243.3 million, and customer counts with ARR over $1 million and $100K
- techcrunch.com — Qwak's $12 million Series A1 funding round in March 2023 from Bessemer Venture Partners, and total funding of $27 million
- www.qwak.com — Details on Qwak's platform capabilities including MLOps, LLMOps, and feature store