RigNet Announces Acquisition of Intelie, a Provider of Real-Time Streaming Analytics and Operational Intelligence
January 17 2018 - 8:30AM
RigNet, Inc. (NASDAQ:RNET) today announced that it has agreed to
acquire Intelie Soluções em Informática SA, a real-time, predictive
analytics company that is an award-winning, early pioneer in deep
machine learning and planning optimization. With a presence in
Houston, Rio de Janeiro, São Paulo, and London, Intelie optimizes
critical operations through technological solutions specialized in
stream data analytics with high data volumes and high data
throughput. The transaction is anticipated to close in Q1 2018,
subject to customary closing conditions.
Combining an operational understanding with a machine learning
approach, Intelie facilitates innovation via Intelie Pipes, a
distributed query language with a complex event processor to
aggregate and normalize real-time data from a myriad of data
sources. This technology enables the Intelie LIVE platform to solve
data integration, data quality, data governance and monitoring
problems. Intelie LIVE is an operational intelligence platform that
empowers clients to make timely, data-driven decisions in
mission-critical real-time operations, including drilling, and
longer-term, data-intensive projects, such as well planning.
Intelie’s highly differentiated real-time machine learning
platform and services have currently been tailored to support
energy and maritime companies, who are increasingly looking to
continuously optimize their business processes. The acquisition
will leverage Intelie’s unique capabilities and market position to
distinguish and enhance RigNet’s bundled communications services.
Additionally, Intelie’s team of data scientists and software
developers will accelerate RigNet’s strategy to move up the network
stack, furthering the development of effective applications powered
by data.
“Deep learning and artificial intelligence are rapidly
developing initiatives across all industries and particularly
within upstream oil & gas in areas of well development,
equipment and production management and in maritime in vessel
optimization and CO2 emissions monitoring. With reliable prediction
models based on live data, Intelie depends on highly reliable
communications services to ensure constant and synchronized data
delivery, which makes Intelie’s solutions a natural fit with the
highly reliable managed communications services RigNet delivers to
our customers. Additionally, the Intelie LIVE platform capabilities
apply to many industry verticals and we will expand Intelie’s
presence in those verticals selectively through distribution
partners, much as we are with our unique cybersecurity capabilities
brought to us through our acquisition of Cyphre. I welcome our new
team members from Intelie and look forward to delivering these and
all of our highly differentiated services to our customers around
the world as their technology partner,” said Steve Pickett, CEO
& President, RigNet.
“The digital transformation underway in the oil & gas
industry exponentially leverages data generation in many different
businesses operations. Intelie has been helping companies retrieve
the most value from these data sources, delivering technologies and
services which enable advanced analytics development and monitoring
operations on a real-time basis. Intelie solutions are taking
clients to a new level, allowing timelier data-driven reactions on
predicted operational behavior. RigNet, a worldwide company with a
strong market position in the O&G industry, an outstanding
management team, and a strategy to broaden its offering beyond
O&G, fulfills Intelie’s needs to boost its growth. We are very
excited about this opportunity to be a part of RigNet,” said Lelio
Souza, CEO, Intelie.
About RigNet RigNet (NASDAQ:RNET) is a leading
global specialized provider of customized systems and solutions
serving customers with complex data networking and operational
requirements. RigNet provides solutions ranging from fully-managed
voice and data networks to more advanced applications that include
video conferencing, crew welfare, asset monitoring and real-time
data services. RigNet is based in Houston, Texas and has operations
around the globe.
For more information on RigNet, please
visit www.rig.net. RigNet is a registered trademark of RigNet,
Inc.
Media / Investor Relations Contact:Jerri DeanExecutive
Administrative AssistantRigNet, Inc. Tel: +1 (281) 674-0129
Forward- Looking StatementsThis press release
includes “forward-looking statements” within the meaning of Section
27A of the Securities Act of 1933, as amended, and Section 21E of
the Securities Exchange Act of 1934, as amended. The
opinions, forecasts, projections, expected timetable for completing
the proposed transaction, benefits and synergies of the proposed
transaction, future opportunities for the combined company and
products, future financial performance and any other statements
regarding RigNet’s future expectations, beliefs, plans, objectives,
financial conditions, assumptions or future events or performance
that are not statements of historical fact, are forward-looking
statements within the meaning of the federal securities laws.
RigNet can give no assurance that such expectations will prove to
have been correct. These statements are subject to, among
other things, satisfaction of the closing conditions to the
acquisition, the risk that the contemplated acquisition does not
occur, negative effects from the pendency of the acquisition, the
ability to successfully integrate the acquired business and to
realize expected synergies, the timing to consummate the proposed
transaction and other risk factors that are discussed in RigNet’s
most recent 10-K as well as RigNet’s other filings with the SEC
available at the SEC’s Internet site (http://www.sec.gov).
Actual results may differ materially from those expected, estimated
or projected. Forward-looking statements speak only as of the
day they are made, and we undertake no obligation to publicly
update or revise any of them in light of new information, future
events or otherwise.
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