Qwak

Qwak is a technology company.

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Updated: Dec 9, 2025 ·

Recent News & Mentions

Feb 1, 2023FundingQwak - Series A Feb 1, 2022FundingQwak - Series A Jul 1, 2021FundingQwak - Seed

Financial History

Qwak has raised $27.0M across 3 funding rounds. Most recently, it raised $12.0M Series A in February 2023.

Total Raised

$27.0M

Valuation

N/A

Funding Rounds Raised

Date	Round	Other Investors
Feb 1, 2023	$12.0M Series A	BDC Venture Capital, Bessemer Venture Partners, Cedar Capital Group, Flybridge, High Alpha, MizMaa Ventures, Seedcamp, StageOne Ventures, Ameet Patel, Uri Boness
Feb 1, 2022	$11.0M Series A	Andreessen Horowitz, Asymmetric, BDC Venture Capital, f7 Ventures, Griffin Gaming Partners, High Alpha, Insight Partners, Latitud, NFX, Play Ventures, PS Investments, StageOne Ventures, Team8, TeClub, Visible Ventures, Arash Ferdowsi, Maxime Paradis, Meg Whitman, Nimrod Lehavi, Shahaf Bar-Geffen, Yoni Assia, Yuval Shahar
Jul 1, 2021	$4.0M Seed	StageOne Ventures

Financial History

Qwak has raised $27.0M across 3 funding rounds.

Total Raised

$27.0M

Valuation

N/A

Deep Dive

High-Level Overview

Qwak is a scalable machine-learning (ML) platform that streamlines the full lifecycle of AI models, from development and training to deployment, monitoring, and management, enabling teams to deliver production AI applications efficiently.[1][2][4] It serves data scientists, ML engineers, and software development teams across industries by solving the friction between ML research and production, offering tools like model registry, build systems, feature stores, one-click training on GPU/CPU, scalable serving as APIs or batch/streaming inference, real-time monitoring, and LLM-specific capabilities such as prompt management and optimized deployments of models like Llama 3 or Mistral.[1][3][4] Founded in 2020 in Tel Aviv, Israel, Qwak raised $31.31M before being acquired by JFrog in June 2024, integrating its technology into JFrog's platform for unified DevSecOps and MLSecOps.[1][2][3]

Post-acquisition, JFrog ML (formerly Qwak) continues to power high-scale AI workflows, including GenAI and LLMs, with strong growth momentum evidenced by its selection by top AI teams and expansion to support enterprise-grade security, provenance, and collaboration.[3][4]

Origin Story

Qwak was founded in 2020 in Tel Aviv, Israel, by CEO and Co-Founder Alon Lev and a team focused on bridging the gap between ML research and production deployment.[1][3] The idea emerged from the need to standardize and automate ML workflows, allowing data scientists to create immutable, production-grade artifacts without heavy infrastructure management—addressing common pain points like versioning data, code, and parameters.[1][2] Early traction came from its end-to-end platform, which gained adoption for reducing deployment friction, leading to $31.31M in funding from investors including Bessemer Venture Partners.[1][2] A pivotal moment arrived in June 2024 when JFrog acquired Qwak, enabling its technology to scale within JFrog's "Liquid Software" ecosystem for secure software supply chains.[2][3]

Core Differentiators

End-to-End ML Lifecycle Management: Covers model registry, training, serving, monitoring, feature/vector stores, and build systems that automate versioning and testing for production-grade artifacts, unlike fragmented tools.[1][4]
One-Click Scalability: Enables effortless training/fine-tuning on GPU/CPU, deployment as APIs/batch/streaming with auto-scaling, and real-time monitoring with anomaly detection and integrations (e.g., Slack, PagerDuty).[3][4]
LLM and GenAI Focus: Unified platform for prompts, optimized open-source models (e.g., Llama 3, Mistral), embeddings, and dynamic playgrounds, simplifying collaboration and experimentation.[4]
Seamless Integration Post-Acquisition: Combines with JFrog's security scanning, provenance, and supply chain for MLSecOps, offering enterprise trust and a hassle-free path from dev to production.[3]
Developer-Centric Experience: Low-friction UI, CI/CD support, and team visibility into metadata/parameters, outperforming competitors like Striveworks or Datatron in holistic workflow standardization.[1]

Role in the Broader Tech Landscape

Qwak rides the explosive growth of AI/ML operations (MLOps), where enterprises struggle to operationalize models amid rising demand for GenAI and LLMs, with market forces like talent shortages and infrastructure complexity favoring integrated platforms.[1][3][4] Its timing aligns with the post-2023 AI boom, accelerating safe deployment of production AI while JFrog's acquisition taps into DevOps convergence with MLSecOps, influencing the ecosystem by unifying siloed ML teams with software delivery pipelines.[2][3] By enabling faster, secure AI at scale, Qwak helps industries like finance, healthcare, and cybersecurity adopt AI responsibly, contributing to a $5.5B+ Israeli tech portfolio wave.[1]

Quick Take & Future Outlook

With JFrog's resources, Qwak's platform will likely expand MLSecOps dominance, integrating deeper with LLMs/GenAI for automated, secure AI supply chains amid trends like agentic AI and regulatory scrutiny on model provenance.[3][4] Expect enhancements in multi-cloud scaling, advanced monitoring for data drifts, and broader enterprise adoption, evolving its influence from niche MLOps to core infrastructure for AI-powered apps—solidifying its role in frictionless AI delivery from idea to high-scale production.[3][4]

Sources

Frequently Asked Questions

How much funding has Qwak raised?

Qwak has raised $27.0M in total across 3 funding rounds.

Who are Qwak's investors?

Qwak's investors include BDC Venture Capital, Bessemer Venture Partners, Cedar Capital Group, Flybridge, High Alpha, MizMaa Ventures, Seedcamp, StageOne Ventures, Ameet Patel, Uri Boness, Andreessen Horowitz, Asymmetric.