Tech industry go-to-market leader brings strong
track record of building and scaling category-defining analytics
companies to the Industrial Generative AI software innovator.
Zapata Computing, Inc. (“Zapata AI” or the “Company”), the
Industrial Generative AI company, today announced that Jon Zorio
has joined the organization as Chief Revenue Officer. Jon’s track
record and successful leadership in scaling global analytics and
solutions companies will help Zapata AI accelerate revenue growth
while continuing to evolve its enterprise sales and partner
relationships to meet the surging market demand for Industrial
Generative AI.
Zorio brings over two decades of go-to-market leadership
experience forged across a range of technology and analytics
companies. He has built and scaled category-defining startups to
successful exits, led global GTM teams at AI-enabled organizations
like Neustar and IBM, and held a range of senior leadership roles
for both public and privately-held companies going through
investment transactions and public offerings.
“We’re excited to have Jon join our company at this critical
juncture in our journey to becoming a public company in Q1 2024,”
said Christopher Savoie, Zapata AI CEO and co-founder. “He will
lead our efforts in delivering significant revenue growth next year
and beyond. Additionally, Jon will broaden our customer and partner
pipeline to help us scale in a dynamic, rapidly evolving, and
increasingly competitive market.”
Zorio’s priority focus is to drive enterprise customer and
partner acquisition and expansion for the company’s Industrial
Generative AI offerings: Prose for enhancing Large Language Models
(LLMs) and Sense for enhancing computational analytics at scale.
These offerings are targeted towards enterprises in industries such
as Financial Services, Manufacturing, Logistics/3PL,
Biotech/Pharma, Automotive, and Energy. For example, Zapata AI has
applied its generative AI expertise to help enterprises such as
Andretti Autosport, working with Zapata AI on predictive modeling
and optimization challenges to improve their race strategy, and BMW
(in collaboration with MIT) optimizing labor scheduling and
staffing across its production plants.
Zapata’s Prose and Sense solutions address common challenges
that enterprises face when solving industrial-scale problems with
computational solutions. These challenges include bringing together
data stores across the enterprise, unpredictable or incomplete
data, model accuracy and specificity, mission-critical decisioning
and responsiveness, interoperability across heterogeneous
public/private cloud and on-prem environments, spiraling costs for
large solution footprints, constrained compute resources, and
security and governance concerns.
Zorio will join the company reporting to CEO and co-founder
Savoie. “Industrial Generative AI has enormous transformative
potential and represents a sea change in how large enterprises will
function. The generative AI space is evolving with unprecedented
speed, with significant advances occurring almost weekly. My
experience building and scaling global go-to-market organizations
to deliver business value through advanced analytics solutions,
while accelerating enterprise sales and partner acquisition fits
perfectly with Zapata's needs at this stage of the company's
evolution,” said Zorio. “Christopher has built an incredible team
of world class thought leaders and practitioners in the generative
AI space, and I’m energized to get to work scaling the company
alongside my new colleagues.”
About Zapata AI
Zapata AI is the Industrial Generative AI company,
revolutionizing how enterprises solve their hardest problems with
its powerful suite of Generative AI software. By combining
numerical and text-based solutions, Zapata AI empowers enterprises
to leverage large language models and numerical generative models
better, faster, and more efficiently—delivering solutions to drive
growth, savings and unprecedented insight. With proprietary science
and engineering techniques and the Orquestra® platform, Zapata AI
is accelerating Generative AI’s impact in Industry. The Company was
founded in 2017 and is headquartered in Boston, Massachusetts. On
September 6, 2023, Zapata AI entered into a definitive business
combination agreement with Andretti Acquisition Corp. (NYSE: WNNR),
the consummation of which, subject to customary closing conditions,
will result in Zapata AI becoming a publicly listed company on the
New York Stock Exchange. To learn more, visit:
https://www.zapata.ai
Forward-Looking Statements
Certain statements made herein are not historical facts but are
forward-looking statements for purposes of the safe harbor
provisions under The Private Securities Litigation Reform Act of
1995. Forward-looking statements generally are accompanied by words
such as “believe,” “may,” “will,” “estimate,” “continue,”
“anticipate,” “intend,” “expect,” “should,” “would,” “plan,”
“predict,” “potential,” “seem,” “seek,” “future,” “outlook,” and
similar expressions that predict or indicate future events or
trends or that are not statements of historical matters. These
forward-looking statements include, but are not limited to,
statements regarding future events, the transaction, the estimated
or anticipated future results and benefits of the combined company
following the transaction, including the likelihood and ability of
the parties to successfully consummate the transaction, future
opportunities for the combined company, and other statements that
are not historical facts. These statements are based on the current
expectations of Andretti Acquisition Corp.’s and Zapata AI’s
management and are not predictions of actual performance. These
forward-looking statements are provided for illustrative purposes
only and are not intended to serve as, and must not be relied on,
by any investor as a guarantee, an assurance, a prediction, or a
definitive statement of fact or probability. Actual events and
circumstances are difficult or impossible to predict and will
differ from assumptions. Many actual events and circumstances are
beyond the control of Andretti Acquisition Corp. and Zapata AI.
These statements are subject to a number of risks and uncertainties
regarding Zapata AI’s businesses and the transaction, and actual
results may differ materially. These risks and uncertainties
include, but are not limited to, ability to meet the closing
conditions to the transaction, including approval by stockholders
of Andretti Acquisition Corp. on the expected terms and schedule
and the risk that regulatory approvals required for the transaction
are not obtained or are obtained subject to conditions that are not
anticipated; delay in closing the transaction or failure to close
the transaction within the period permitted under its governing
documents; failure to realize the benefits expected from the
proposed transaction; a decline in the price of Andretti
Acquisition Corp’s securities following the transaction if it fails
to meet the expectations of investors or securities analysts; the
amount of redemption requests made by Andretti Acquisition Corp.’s
public stockholders; the ability of Andretti Acquisition Corp. or
the combined company to issue equity or equity-linked securities in
connection with the transaction or in the future; the effects of
pending and future legislation; risks related to disruption of
management time from ongoing business operations due to the
proposed transaction; business disruption following the
transaction; risks related to Andretti Acquisition Corp.’s and
Zapata AI’s indebtedness; other consequences associated with
mergers, acquisitions, and divestitures and legislative and
regulatory actions and reforms; Zapata’s ability to maintain its
current rate of growth; maintenance and renewal of customer
contracts and subscriptions; competition in Zapata AI’s industries;
Zapata AI’s ability to raise additional capital; the successful
integration of potential targets, products, or technologies; Zapata
AI’s ability to improve its operational, financial, and management
controls; Zapata AI’s failure to maintain and enhance awareness of
its brand; increased costs associated with being a public company;
cybersecurity incidents; ability to prevent fraudulent activities
by Zapata AI’s customers, employees, or other third parties;
potential interruptions or delays in third-party services;
protection of proprietary rights; intellectual property
infringement, data protection, and other losses; compliance with
federal, state, and local laws as well as statutory and regulatory
requirements; risks of implementing controls and procedures
required for public companies following the transaction; and the
ability of Zapata AI’s or the combined company to issue equity or
equity-linked securities with the proposed business combination or
in the future; and those factors discussed in Andretti Acquisition
Corp.’s Form 10-K for the year ended December 31, 2022, under Risk
Factors in Part I, Item 1A and other documents of Andretti
Acquisition Corp. filed, or to be filed, with the SEC.
If any of these risks materialize or if assumptions prove
incorrect, actual results could differ materially from the results
implied by these forward-looking statements. There may be
additional risks that Andretti Acquisition Corp. or Zapata AI
presently do not know or that Andretti Acquisition Corp. or Zapata
currently believe are immaterial that could also cause actual
results to differ from those contained in the forward-looking
statements. In addition, forward-looking statements provide
Andretti Acquisition Corp.’s or Zapata AI’s expectations, plans, or
forecasts of future events and views as of the date of this
communication. Andretti Acquisition Corp. or Zapata AI anticipate
that subsequent events and developments will cause their
assessments to change. However, while Andretti Acquisition Corp. or
Zapata AI may elect to update these forward-looking statements at
some point in the future, Andretti Acquisition Corp. or Zapata AI
specifically disclaim any obligation to do so. These
forward-looking statements should not be relied upon as
representing Andretti Acquisition Corp.’s or Zapata AI’s
assessments as of any date subsequent to the date of this
communication. Accordingly, undue reliance should not be placed
upon the forward-looking statements.
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