MongoDB AI Applications Program gives
organizations the strategic roadmap, industry expertise, and
technology needed to more quickly go from ideation to deployment of
generative AI applications at scale
Anthropic, Anyscale, AWS, Cohere, Credal.ai,
Fireworks.ai, Google Cloud, gravity9, LangChain, LlamaIndex,
Microsoft Azure, Nomic, PeerIslands, Pureinsights, and Together AI
among MongoDB AI Applications Program launch partners
NEW
YORK, May 1, 2024 /PRNewswire/ -- MongoDB, Inc.
(NASDAQ: MDB) today announced the MongoDB AI Applications Program
(MAAP) that is designed to help organizations rapidly build and
deploy modern applications enriched with generative AI technology
at enterprise scale. MAAP provides customers strategic advisory,
professional services, and an integrated end-to-end technology
stack from MongoDB and its partners. MAAP launch partners include
industry-leading consultancies and foundation model (FM), cloud
infrastructure, and generative AI framework and model hosting
providers that together with MongoDB help customers identify
business problems that can be solved with advanced AI-powered
applications. MAAP is designed to be a one-stop solution for
enterprises that want to quickly and effectively embed generative
AI into applications with the required technology stack and
expertise in place.
"We've seen tremendous enthusiasm for generative AI among our
customers, from agile startups to established global enterprises,"
said Alan Chhabra, EVP of Worldwide
Partners at MongoDB. "These organizations leverage MongoDB's
cutting-edge technology and comprehensive services to transform
innovative concepts into real-world applications. However, some are
still navigating how best to integrate generative AI to solve the
right business problems. That's where the MongoDB AI Applications
Program comes in. This program combines our robust developer data
platform, MongoDB Atlas, with our own expertise, professional
services, and strategic partnerships with leaders in generative AI
technologies to provide comprehensive roadmaps for organizations of
all sizes to confidently adopt and implement generative AI. With
the MongoDB AI Applications Program, we and our partners help
customers use generative AI to enhance productivity, revolutionize
customer interactions, and drive industry advancements."
Generative AI-driven innovation has set a clear imperative for
every organization—to compete, they need to modernize their
applications to meet and exceed customer expectations.
Organizations of every size across industries want to immediately
take advantage of this technological shift, but are unsure if they
have the right data strategy and technology in place that will lead
to success in building, deploying, and scaling new classes of
applications securely and reliably. Many organizations are stuck
with ineffective ways of working with data because of legacy
technology that cannot scale, while others attempt to use
single-purpose, bolt-on solutions that introduce unnecessary
complexity and cost. As a result, these organizations wind up
trading off long-term success—because of outdated technology or
add-on solutions—for short-term results with proofs of concept that
cannot scale to production, offer enterprise-grade security and
reliability, or provide a meaningful return on their
investment.
MAAP addresses these challenges by providing customers with the
strategic framework, expert professional services, and technology
roadmap to identify and work backward from business problems,
rapidly build and iterate on solutions, and to optimize innovative
generative AI applications—empowering customers to put them into
production. Combined with MongoDB's technology that enables
companies to deploy generative AI applications with a unified
developer data platform, MAAP delivers an end-to-end solution
through its partnerships with industry-leading consultancies and
FM, cloud infrastructure, and generative AI framework and model
hosting providers—including Anthropic, Anyscale, Amazon Web
Services (AWS), Cohere, Credal.ai, Fireworks.ai, Google Cloud,
gravity9, LangChain, LlamaIndex, Microsoft Azure, Nomic,
PeerIslands, Pureinsights, and Together AI. MAAP offers customers
the technology, full-service engagement, and expert support
required to:
- Develop end-to-end strategies and roadmaps to build,
deploy, and scale generative AI applications with hands-on
support: Engagement with MAAP begins with highly personalized
deep dives. MongoDB Professional Services evaluates an
organization's current technology stack and works with customers to
identify business problems to work backward from. MongoDB
Professional Services and consultancy partners then develop
strategic roadmaps to rapidly prototype the required architecture,
validate that initial results meet customer expectations, and then
optimize fully built applications that customers can evolve for use
in production. Customers can continue receiving support from
MongoDB Professional Services to develop new generative AI features
depending on their needs.
- Build high-performing generative AI applications that are
secure, reliable, and trustworthy: Enterprises must trust that
new technology being deployed throughout their organization and in
customer-facing applications will behave as expected and will not
inadvertently expose sensitive data. MAAP offers a curated
selection of leading FMs that have been designed for safety,
trustworthiness, and usefulness by MAAP partners. By combining
these FMs with techniques like retrieval-augmented generation (RAG)
using proprietary data with robust governance controls, customers
can reduce model hallucinations by controlling exactly what data is
provided to FMs to give them the required context that improves
accuracy. Customers can also use optimized fine-tuning and
inference services through MAAP partners for domain-specific use
cases and fast AI model response times using models from Anthropic,
Cohere, Meta, Mistral, OpenAI, and more. With MAAP, customers get
the generative AI reference architectures, integrated technology,
and prescriptive guidance needed for their use cases through
hands-on professional services to help them build secure,
high-performing applications that function as intended.
- Engage in generative AI jump-start sessions with industry
experts: Organizations not yet ready to adopt generative
AI at scale can customize their MAAP engagement to provide their
teams prototyping sessions in a secure, private, sandbox
environment. For example, a customized engagement with MAAP can
include an organization's strategy, operations, IT, or software
development teams—or a combination of several teams—where an
expert-led session brings together different perspectives and aims
to identify an internal business challenge that generative AI can
be applied to. MongoDB Professional Services can then lead a
hackathon to collaboratively build a solution and test its
effectiveness for internal use cases. MAAP provides the education,
resources, and technology needed to quickly build a tangible
solution to see generative AI in action solving a specific business
problem.
MongoDB customers welcome MAAP to help them build
applications enriched with generative AI
ACI Worldwide powers mission-critical real-time payment
software solutions for thousands of organizations around the world.
Many of the world's largest financial institutions rely on ACI to
process and manage digital payments, power omni-commerce payments,
and to manage fraud and risk. "MongoDB and PeerIslands
have been working closely with ACI Worldwide to modernize and
transform our critical business applications, and the results in
this initial phase have been impressive," said Abe Kuruvilla, CTO at ACI Worldwide. "By relying
on MongoDB Atlas, and by leveraging MongoDB's AI solutions, we've
been able to speed up our modernization process and to reduce the
burden of database management faced by our developers, allowing
them to focus on innovation. ACI Worldwide looks forward to
continuing to work closely with MongoDB, PeerIslands, and MAAP
partners through the new MongoDB AI Applications Program."
Arc XP is the SaaS content platform built to power
sophisticated storytelling and digital experiences for customers
with big stories to tell. "We needed to come up with a strategy
that enabled us to keep pace with our growth while maintaining pace
of feature development. That's why we chose to go to MongoDB
Atlas," said Joe Croney, CTO at Arc
XP. "Enabling developers to build more value for customers is
ultimately what we're here to do, and that's why MongoDB has been
so effective as a partner. The story of Arc XP is one of
hypergrowth, and MongoDB Atlas has been fantastic in enabling our
business transformation. Our recent advancements, particularly in
AI-driven features, have thrived thanks to our deep engagement with
MongoDB's Professional Services, Technology, and Account teams.
These partnerships have been crucial, allowing Arc XP engineers to
innovate using MongoDB's cutting-edge technologies, including
MongoDB Atlas Vector Search."
Scalestack's AI-powered, all-in-one go-to-market data
orchestration and activation platform helps customers spend less
time manually researching and organizing data, and more time
executing. "Scalestack's mission is to help organizations unlock
sales productivity, and our relationship with MongoDB and its
partners has been integral to that," said Elio Narciso Co-founder
and CEO at Scalestack. "Scalestack's Spotlight AI copilot—which
helps sales representatives prioritize and choose their targets, as
well as draft personalized emails and scripts based on unstructured
data—uses MongoDB Atlas Vector Search's RAG abilities to perform
quick searches over large datasets using vector similarity.
MongoDB's partnerships and integrations have helped us fine-tune AI
models to specific use cases, enhancing Spotlight's performance.
We're excited to continue innovating on behalf of customers by
working with MongoDB and its partners through the new MongoDB AI
Applications Program."
MongoDB partners joining MAAP to provide strategic
consulting, technology, and expertise to customers
Anthropic, a world-leading AI company, pioneers trusted, safe,
and reliable AI solutions for enterprises. Its advanced Claude 3
model family delivers valuable AI assistance in data analysis,
content creation, customer support, project management, and
strategic decision-making across every team. "Deploying accurate
and reliable AI solutions is a top priority for enterprises today.
Through our participation in MongoDB's AI Applications Program,
more businesses will harness the power of Anthropic's
industry-leading Claude 3 model family to develop tailored
solutions that drive real business impact," said Kate Jensen, Head of Revenue at Anthropic. "By
integrating Anthropic's powerful foundation models with MongoDB's
cutting-edge technology and expertise, more enterprises in
regulated industries such as financial services and healthcare will
confidently deploy customized AI solutions that meet their
standards on safety and security."
Since 2006, Amazon Web Services has been the world's most
comprehensive and broadly adopted cloud. "Generative AI is a
transformative technology that has the promise to change how
organizations of all sizes across industries conduct business,
optimize their operations, and interact with their customers," said
Chris Grusz, Managing Director of
Technology Partnerships at AWS. "AWS and MongoDB have been working
together to integrate services for several years, helping customers
leverage the strength of both companies to help developers innovate
more rapidly. The MongoDB AI Applications Program will help build
on the impact we've already been helping customers achieve."
Google Cloud is the new way to the cloud, providing AI,
infrastructure, developer, data, security, and collaboration tools
built for today and tomorrow. "MongoDB and Google Cloud have helped
joint customers enhance their businesses with AI for many years,
and we're excited to extend our collaboration with support for the
MongoDB AI Applications Program," said Stephen Orban, VP of Migrations, ISVs, and
Marketplace at Google Cloud. "Together, we will provide enterprises
with the technical resources, frameworks, and governance tools
required to more effectively build and deploy generative AI
applications on Google Cloud's AI-optimized
infrastructure."
Microsoft enables digital transformation for the era of an
intelligent cloud and an intelligent edge to empower every person
and every organization on the planet to achieve more. "Many
customers want to get up and running quickly with generative AI but
are sometimes overwhelmed by the many choices of technologies and
the expertise required to build modern applications," said
Alvaro Celis, Vice President of
Global ISV Commercial Solutions at Microsoft. "The new MongoDB AI
Applications Program will help organizations reduce the complexity
and time it takes to build applications enriched with generative AI
by offering them integrated technology solutions and hands-on
support. We are excited to be a launch partner for the program to
help our joint customers with MongoDB take advantage of this
game-changing technology."
Organizations can learn more about MAAP by visiting the program
website.
This announcement and more will be featured in the MongoDB.local
NYC keynote delivered by MongoDB President and CEO Dev Ittycheria
and Chief Product Officer Sahir
Azam, which can be viewed via live-stream here beginning at
10:00am ET on May 2.
About MongoDB Atlas
MongoDB Atlas is the leading
multi-cloud developer data platform that accelerates and simplifies
building modern applications with a highly flexible, performant,
and globally distributed operational database at its core. By
providing an integrated set of data and application services in a
unified environment, MongoDB Atlas enables development teams to
quickly build with the security, performance, and scale modern
applications require. Millions of developers and tens of thousands
of customers across industries—including Cisco, GE Healthcare,
Intuit, Toyota Financial Services, and Verizon—rely on MongoDB
Atlas every day to innovate more quickly, efficiently, and
cost-effectively for virtually every use case across the
enterprise. To get started with MongoDB Atlas, visit
mongodb.com/atlas.
About MongoDB
Headquartered in New York, MongoDB's mission is to empower
innovators to create, transform, and disrupt industries by
unleashing the power of software and data. Built by developers, for
developers, MongoDB's developer data platform is a database with an
integrated set of related services that allow development teams to
address the growing requirements for today's wide variety of modern
applications, all in a unified and consistent user experience.
MongoDB has tens of thousands of customers in over 100 countries.
The MongoDB database platform has been downloaded hundreds of
millions of times since 2007, and there have been millions of
builders trained through MongoDB University courses. To learn more,
visit mongodb.com.
Forward-looking Statements
This press release includes
certain "forward-looking statements" within the meaning of Section
27A of the Securities Act of 1933, as amended, or the Securities
Act, and Section 21E of the Securities Exchange Act of 1934, as
amended, including statements concerning expansion of global
availability of MongoDB Atlas. These forward-looking statements
include, but are not limited to, plans, objectives, expectations
and intentions and other statements contained in this press release
that are not historical facts and statements identified by words
such as "anticipate," "believe," "continue," "could," "estimate,"
"expect," "intend," "may," "plan," "project," "will," "would" or
the negative or plural of these words or similar expressions or
variations. These forward-looking statements reflect our current
views about our plans, intentions, expectations, strategies and
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to us and on assumptions we have made. Although we believe that our
plans, intentions, expectations, strategies and prospects as
reflected in or suggested by those forward-looking statements are
reasonable, we can give no assurance that the plans, intentions,
expectations or strategies will be attained or achieved.
Furthermore, actual results may differ materially from those
described in the forward-looking statements and are subject to a
variety of assumptions, uncertainties, risks and factors that are
beyond our control including, without limitation: the impact the
COVID-19 pandemic may have on our business and on our customers and
our potential customers; the effects of the ongoing military
conflicts between Russia and
Ukraine and Israel and Hamas on our business and future
operating results; economic downturns and/or the effects of rising
interest rates, inflation and volatility in the global economy and
financial markets on our business and future operating results; our
potential failure to meet publicly announced guidance or other
expectations about our business and future operating results; our
limited operating history; our history of losses; failure of our
platform to satisfy customer demands; the effects of increased
competition; our investments in new products and our ability to
introduce new features, services or enhancements; social, ethical,
and security issues relating to the use of new and evolving
technologies, such as artificial intelligence, in our offerings or
partnerships; our ability to effectively expand our sales and
marketing organization; our ability to continue to build and
maintain credibility with the developer community; our ability to
add new customers or increase sales to our existing customers; our
ability to maintain, protect, enforce and enhance our intellectual
property; the growth and expansion of the market for database
products and our ability to penetrate that market; our ability to
integrate acquired businesses and technologies successfully or
achieve the expected benefits of such acquisitions; our ability to
maintain the security of our software and adequately address
privacy concerns; our ability to manage our growth effectively and
successfully recruit and retain additional highly-qualified
personnel; and the price volatility of our common stock. These and
other risks and uncertainties are more fully described in our
filings with the Securities and Exchange Commission ("SEC"),
including under the caption "Risk Factors" in our Quarterly Report
on Form 10-Q for the quarter ended October
31, 2023, filed with the SEC on December 7, 2023 and other filings and reports
that we may file from time to time with the SEC. Except as required
by law, we undertake no duty or obligation to update any
forward-looking statements contained in this release as a result of
new information, future events, changes in expectations or
otherwise.
MongoDB Public Relations
press@mongodb.com
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SOURCE MongoDB, Inc.