JFrog's solution will be expanding to deliver
advanced MLOps capabilities to organizations, enabling building,
deployment, management, and monitoring of AI workflows from GenAI
and LLMs to classic ML models, all within a unified platform.
JFrog Ltd. (Nasdaq: FROG), the Liquid Software company and
creators of the JFrog Software Supply Chain Platform that offers
DevOps and DevSecOps solutions, today announced it has entered into
a definitive agreement to acquire Qwak AI Ltd., creators of the AI
and MLOps platform.
This press release features multimedia. View
the full release here:
https://www.businesswire.com/news/home/20240625589098/en/
Union will expand JFrog's Platform to
deliver advanced MLOps capabilities to organizations, enabling them
to build, deploy, manage, and monitor AI workflows. (Graphic:
Business Wire)
With the acquisition, JFrog aims to offer a unified and scalable
solution for DevOps, Security, and MLOps stakeholders. This
advanced, industry-leading MLOps functionality is designed to free
data scientists and developers from infrastructure concerns,
accelerating the creation and delivery of AI-powered applications.
JFrog is the single system of record for all software packages
(binaries), including models stored in Artifactory. Enhancing its
machine learning (ML) model capabilities will enable users to
streamline models from development to deployment.
“Next-generation Software Supply Chain platforms will need to
expand and natively include MLOps solutions to better serve
development organizations,” said Shlomi Ben Haim, CEO and
Co-founder of JFrog. “We’re excited to combine Qwak’s MLOps
solution with our platform to empower our customers' AI journey.
Qwak's solution, powered by JFrog Artifactory as the model registry
of choice and JFrog Xray for scanning and securing ML models, will
enhance user efficiency and provide a unified platform experience
for DevOps, DevSecOps, MLOps, and MLSecOps. We’re looking forward
to leaping higher with Qwak’s team!” Ben Haim added.
As part of the JFrog Platform, Qwak technology will deliver a
straightforward and hassle-free user experience for bringing models
to production, combined with the level of trust and provenance
enterprises expect from JFrog as they deliver AI-powered
applications. This combination leverages Qwak’s advanced model
training and serving capabilities to manage the previously-siloed
and complex lifecycle of models, alongside model storage management
and security scanning of models provided by JFrog.
The acquisition follows a successful integration between JFrog
and Qwak solutions announced earlier this year, based on JFrog’s
“model as a package” approach. The holistic solution aims to
eliminate the need for separate tools, separate compliance efforts
and will offer full traceability in a single solution.
“We’re beyond excited to join the JFrog family and to help
customers accelerate their AI initiatives,” said Alon Lev, CEO and
Co-Founder of Qwak. “Our founding vision for Qwak was to change the
way software development teams and Data Scientists work together to
bring AI assets into production. With the power of the JFrog
Software Supply Chain Platform to deliver secure software
components at scale, we’re creating a whole new experience that
will pave the way for unified digital delivery teams to bring
responsible, secured models into their applications much more
simply and predictably.”
Speed to market and a secure flow of ML models - the fuel behind
artificial intelligence - is the key driver behind modern MLOps
initiatives as companies attempt to deliver AI-powered
applications. According to Gartner, MLOps plays a critical role in
the operationalization of AI, with 75% of companies shifting from
piloting to operation of AI by the end of 2024 (Gartner Top 10
Trends in Data and Analytics, 2020 [client access only]).
“Data scientists and ML engineers currently use tools that are
mostly disconnected from standard DevOps and Security processes
within companies, delaying release timeframes and eroding trust,”
said Gal Marder, Executive Vice President of Strategy, JFrog. “A
unified system of record across Dev, Sec, ML and Ops will alleviate
this pain for digital teams and the business.”
Today’s market demands a single platform experience across the
software supply chain to accelerate development processes and that
treats the fuel of AI - machine learning models and their metadata
- accordingly. Like any other software component, ML models must be
stored, built, traced, versioned, signed, secured and efficiently
delivered across systems in order to deliver AI at scale. Utilizing
DevOps practices in a unified solution addresses these market
expectations.
The acquisition of Qwak will expand JFrog solutions with the
following capabilities:
- One Platform for DevSecOps & MLSecOps, offering a
holistic ML software supply chain from traditional models to LLMs
and GenAI
- Fast and straightforward model serving into production
with simplified model development and deployment and serving
processes, improving AI initiatives
- Model training and monitoring with OOTB dataset
management and feature store support
- Manage models as a package allowing you to version,
manage, and secure models the same way you do any other software
package with DevSecOps best practices
- Ensure provenance and security of AI naturally in the
development workflows
- Pull from a governed, secure source of truth that
marries ML models with the other building blocks such as containers
and Python packages
- Trace models back to their source for easy recall,
retraining and redeployment if something goes wrong with production
models
JFrog’s MLOps Road Map
As part of the acquisition and integration process, JFrog plans
to assimilate Qwak’s talent into JFrog, rapidly growing the
MLOps-centric team. JFrog will also accelerate the process of
technology integration to bring Qwak technology into the JFrog
Platform, across JFrog DevOps and Security products. JFrog and Qwak
will work together with customers to ensure business continuity and
streamlined migration to future jointly-developed and supported
offerings.
MLOps Ecosystem & Partner Integrations
Earlier this year, JFrog announced integrations with AWS
Sagemaker and DataBricks-developed MLflow. As part of the company’s
approach to universality, JFrog will continue to deliver
integrations with other leading MLOps ecosystem partners to provide
developers and ML Engineers with the freedom of choice and avoiding
vendor lock-in.
For a deeper look at how the union of JFrog and Qwak is expected
to help build, train, secure, deploy and monitor ML models and
GenAI in a unified experience, visit our solution page, read this
blog and join us for a webinar the week of July 22.
JFrog Reaffirms Q2 and FY2024 Guidance
JFrog reiterates the financial guidance for Q2 and FY2024
provided on May 9, 2024.
About JFrog
JFrog Ltd. (Nasdaq: FROG) is on a mission to create a world of
software delivered without friction from developer to device.
Driven by a “Liquid Software” vision, the JFrog Software Supply
Chain Platform is a single system of record that powers
organizations to build, manage, and distribute software quickly and
securely, to aid in making it available, traceable, and
tamper-proof. The integrated security features also help identify,
protect, and remediate against threats and vulnerabilities. JFrog’s
hybrid, universal, multi-cloud platform is available as both
self-hosted and SaaS services across major cloud service providers.
Millions of users and 7K+ customers worldwide, including a majority
of the Fortune 100, depend on JFrog solutions to securely embrace
digital transformation. Once you leap forward, you won’t go back!
Learn more at jfrog.com and follow us on X (formerly Twitter):
@jfrog.
Cautionary Note About Forward-Looking Statements
This press release contains “forward-looking” statements, as
that term is defined under the U.S. federal securities laws,
including, but not limited to, statements regarding JFrog’s future
financial performance, our reiterated guidance for the quarter
ending June 30, 2024 and fiscal year ending December 31, 2024, our
leadership position in the markets in which we participate, our
ability to meet market demands and our expectations regarding the
proposed acquisition of Qwak by us, including our ability to
complete the potential transaction, the proposed timetable for
completing the potential transaction, our ability to successfully
integrate the proposed acquisition into our business operations,
including the DevOps platform, and realize anticipated benefits and
synergies from the proposed acquisition.
These forward-looking statements are based on our current
assumptions, expectations and beliefs and are subject to
substantial risks, uncertainties, assumptions and changes in
circumstances that may cause JFrog’s actual results, performance or
achievements to differ materially from those expressed or implied
in any forward-looking statement. There are a significant number of
factors that could cause actual results, performance or
achievements, to differ materially from statements made in this
press release, including but not limited to risks detailed in our
filings with the Securities and Exchange Commission, including in
our annual report on Form 10-K for the year ended December 31,
2023, our quarterly report on Form 10-Q for the quarter ended March
31, 2024, and other filings and reports that we may file from time
to time with the Securities and Exchange Commission.
Forward-looking statements represent our beliefs and assumptions
only as of the date of this press release. We disclaim any
obligation to update forward-looking statements except as required
by law.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240625589098/en/
Media Contact: Siobhan Lyons, Sr. Manager Global Communications,
JFrog, siobhanL@jfrog.com
Investor Contact: Jeff Schreiner, VP of Investor Relations,
jeffS@jfrog.com
JFrog (NASDAQ:FROG)
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JFrog (NASDAQ:FROG)
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