Capgemini, Confluent, IBM, QuantumBlack, AI by
McKinsey, and Unstructured join the MongoDB AI Applications Program
(MAAP) ecosystem to help organizations make an impact with
AI
MongoDB, Meta collaborating to support
developers with Meta models and the end-to-end MAAP technology
stack
Leading autism and intellectual and
developmental disability software provider CentralReach using MAAP
to improve AI-powered care platform
MAAP expansion follows the introduction of
vector quantization to MongoDB Atlas Vector Search and recent AI
partner integrations
LAS
VEGAS, Dec. 2, 2024 /PRNewswire/ -- MongoDB, Inc.
(NASDAQ: MDB) today at AWS re:Invent announced that a new cohort of
organizations have joined the MongoDB AI Applications Program
(MAAP) ecosystem of leading AI and tech companies. By lending their
experience and expertise to MAAP, Capgemini, Confluent, IBM,
QuantumBlack, AI by McKinsey, and Unstructured will offer customers
additional integration and solution options, boosting the value
customers receive from MAAP. Since it was launched earlier this
year, MAAP has already made an impact, helping customers like
CentralReach—which provides an AI-powered autism care and
intellectual and developmental disabilities (IDD) platform—innovate
with AI. The MAAP Center of Excellence Team, a cross-functional
group of AI experts at MongoDB, has collaborated with partners and
customers across industries to overcome an array of technical
challenges, empowering organizations of all sizes to build and
deploy AI applications. The expansion of the MongoDB AI
Applications Program follows the introduction of vector
quantization to MongoDB Atlas Vector Search (which reduces vector
sizes while preserving performance—at lower cost), as well as new
integrations with leading AI and technology companies.
MongoDB is also collaborating with Meta on Llama to support
developers in their efforts to build more efficiently and to best
serve customers. Currently, both enterprise and public sector
customers are leveraging Llama and MongoDB to build innovative,
AI-enriched applications, accelerating progress toward business
goals. In the coming months, MongoDB plans to implement turnkey
mapping from its database to the LlamaStack APIs, empowering
developers to deliver solutions to market more quickly and
efficiently.
"At the beginning of 2024, many organizations saw the immense
potential of generative AI, but were struggling to take advantage
of this new, rapidly evolving technology. And 2025 is sure to bring
more change—and further innovation," said Greg Maxson, Senior Director of AI GTM and
Strategic Partnerships at MongoDB. "The aim of MAAP, and of
MongoDB's collaborations with industry leaders like Meta, is to
empower customers to use their data to build custom AI applications
in a scalable, cost-effective way. By joining the MAAP partner
network, Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey,
and Unstructured are helping the program evolve to meet the
ever-changing AI landscape, and offering customers an array of
leading solutions."
Launched in the summer of 2024—with founding members Accenture,
Anthropic, Anyscale, Arcee AI, AWS, Cohere, Credal, Fireworks AI,
Google Cloud, gravity9, LangChain, LlamaIndex, Microsoft Azure,
Nomic, PeerIslands, Pureinsights, and Together AI—the MongoDB AI
Applications Program is designed to help organizations unleash the
power of their data and to take advantage of rapidly advancing AI
technologies. It offers customers an array of resources to put AI
applications into production: reference architectures and an
end-to-end technology stack that includes integrations with leading
technology providers, professional services, and a unified support
system to help customers quickly build and deploy AI
applications.
Because the AI landscape and customer expectations of AI
continue to evolve, MongoDB has carefully grown the MAAP
program—and the MAAP ecosystem of companies—to best meet customer
needs. By working with AI industry leaders, MongoDB has gained a
unique understanding of both the technology and implementation
partners that can best help customers build AI applications, and
has built the MAAP partner network accordingly.
New MAAP partners look forward to helping customers build AI
applications
A global consulting and technology services company, Capgemini
offers integrated solutions for digital transformation, blending
expertise with breakthrough technology. Confluent, meanwhile, is a
cloud-native data streaming platform that allows users to stream,
connect, process, and govern data in real time.
"Business leaders are increasingly recognizing generative AI's
value as an accelerator for driving innovation and revenue growth.
But the real opportunity lies in moving from ambition to action at
scale. We are pleased to continue working with MongoDB to help
deliver tangible value to clients and drive competitive advantage
by leveraging a trustworthy data foundation, thereby enabling gen
AI at scale," said Niraj Parihar,
CEO of Insights & Data Global Business Line and Member of the
Group Executive Committee at Capgemini. "MAAP helps clients build
gen AI strategy, identify key use cases, and bring solutions to
life, and we look forward to being a key part of this for many
organizations."
"Enterprise AI strategy is inextricably dependent upon fresh,
trusted data about the business. Without real-time datasets, even
the most advanced AI solutions will fail to deliver value," said
Shaun Clowes, Chief Product Officer
at Confluent. "Seamlessly integrated with MongoDB and Atlas Vector
Search, Confluent's fully managed data streaming platform enables
businesses to build the trusted, always-up-to-date data foundation
essential for powering gen AI applications."
Unstructured is the leading provider of ETL for LLMs,
making it easy for enterprises to utilize their unstructured data
with gen AI systems.
"Like MongoDB, we understand that data is essential to
harnessing the power of gen AI," said Brian
Raymond, Founder and CEO of Unstructured. "We are excited to
join the MongoDB AI Applications Program to bring our expertise in
ingesting and preprocessing complex unstructured data for vector
databases. The gen AI-ready data we continuously deliver and write
to vector databases like MongoDB is essential to enabling our users
to counter hallucinations, allowing the LLMs and AI projects that
MAAP customers are working on to leverage sensitive, internal data
while keeping models and projects up-to-date."
Collaborating to make an impact with AI
Providing customers direct support from technical subject matter
experts has been integral to MAAP's success. Since the program's
inception, the MAAP Center of Excellence team—highly skilled AI
experts from MAAP partners and groups across MongoDB—has worked
with more than 150 organizations on a range of technical
challenges, including model and technology stack evaluation,
chunking strategies, advanced retrieval techniques, and the
establishment of agentic workflows. Example projects include
working on sound diagnostic-based maintenance recommendations for a
large manufacturer, and customer service automations for companies
across industries.
A recent example of how MAAP enables organizations to build with
AI is IndiaDataHub, which is on a mission to build India's largest market data and analytics
platform.
Since the company's founding, MongoDB Atlas has been the
platform's operational database for some of its key datasets, and
earlier this year, IndiaDataHub joined MAAP to access AI expertise,
in-depth support, and a full spectrum of technologies to enhance AI
functionality within its analytics platform. This includes
connecting relevant data in MongoDB with Meta's AI models to
perform sentiment analysis on text datasets.
"Data is the oil that will fuel the growth of the modern Indian
economy," said Pranoti Deshmukh,
Chief Technology Officer at IndiaDataHub. "Working with MongoDB,
the MAAP ecosystem, and Meta's AI tools, we've been able to
accelerate our AI strategy to make high-quality, timely data and
analytics available to everyone in India who needs it. The professional support
and deep AI expertise we've received through the MAAP program have
been outstanding."
"We are thrilled to see how many enterprises are leveraging our
open source AI models to build better solutions for their
customers and solve the problems their teams are facing everyday,"
said Ragavan Srinivasan, VP of
Product at Meta. "Leveraging our family of Meta models and the
end-to-end technology stack offered by the MongoDB AI Applications
Program demonstrates the incredible power of open source to drive
innovation and collaboration across the industry."
Another success story is CentralReach, which provides an
AI-powered electronic medical record (EMR) platform that is
designed to improve outcomes for children and adults diagnosed with
autism and related intellectual and developmental disabilities
(IDD).
Prior to working with MongoDB and MAAP, CentralReach was looking
for an experienced partner to further connect and aggregate its
more than 4 billion financial and clinical data points across its
suite of solutions.
CentralReach leveraged MongoDB's document model to aggregate the
company's diverse forms of information from assessments to clinical
data collection, so the company could build rich AI-assisted
solutions on top of its database. Meanwhile, MAAP partners helped
CentralReach to design and optimize multiple layers of its
comprehensive buildout. All of this will enable CentralReach to
support initiatives such as value-based outcome measurement,
clinical supervision, and care delivery efficacy. With these new
data layers in place, providers will be able to make substantial
improvements to their clinical delivery to optimize care for all
those they serve.
"As a mission-driven organization, CentralReach is always
looking to innovate on behalf of the clinical professionals—and the
more than 350,000 autism and IDD learners—that we serve globally,"
said Chris Sullens, CEO of
CentralReach. "So being able to lean on MongoDBs database
technology and draw on the collective expertise of the MAAP partner
network—in addition to MongoDB's tech expertise and services—to
help us improve outcomes for our customers and their clients
worldwide has been invaluable."
The expansion of the MongoDB AI Applications Program builds on
recent AI-related announcements from MongoDB.
In October, MongoDB announced vector quantization capabilities
in MongoDB Atlas Vector Search. By reducing vector storage and
memory requirements while preserving performance, these
capabilities empower developers to build AI-enriched applications
with more scale—and at a lower cost.
Outside of MAAP, since the start of the year MongoDB has built
partnerships with more than 40 leading AI companies, enabling
additional flexibility and choice for customers. Recent
collaborations include those with Astronomer, Arize AI, Baseten,
CloudZero, Modal, and ObjectBox. By working closely with its AI
partners on product launches, integrations, and real-world
challenges, MongoDB is able to bring a better understanding of AI
to joint customers, deliver interoperability for end-to-end
workflows, and to give them the resources and confidence they need
to move forward with this groundbreaking technology.
To learn more about building AI-powered apps with MongoDB,
please see our library of articles, tutorials, analyst reports, and
white papers. And for more on the MongoDB AI Applications program,
see the MAAP webpage.
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 a wide
variety of applications, all in a unified and consistent user
experience. MongoDB has more than 50,000 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.
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Investor Relations
Brian Denyeau
ICR for MongoDB
646-277-1251
ir@mongodb.com
Media Relations
MongoDB
press@mongodb.com
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SOURCE MongoDB, Inc.