About

The MuleSoft AI Chain (MAC) Project originated within the Salesforce/MuleSoft organization and was initially created by Amir Khan (opens in a new tab) in May 2024. Shortly after, Mihael Bosnjak (opens in a new tab) joined and worked together with Amir on v0.1.0. At the release the team got further extended by Ajay Rana (opens in a new tab), Jeroen Reizevoort (opens in a new tab) and Vibhor Sharma (opens in a new tab) joined the core team to help with the development of the project.

Meet the Team

Abhinav Shukla

Demo TeamCommunity Contributor

Ahmed-Jibril Ait ouaret

DevelopmentTestingDemo Team

Akshata Sawant

Demo Team

Anand Shankar

Demo TeamArchitecture

Alick Wong

DevelopmentTestingDemo TeamArchitecture

Arpit Gupta

DevelopmentTestingSecurityCertification

Arun Saha

Demo TeamCommunity Contributor

Aston Whiteling

Product Marketing

Beauty Mishra

Demo TeamCommunity Contributor

Burak Tas

Demo Team

Carlos Casares

TestingDemo TeamArchitecture

Chiew Lee

DevelopmentTesting

Chuck Hirstius

TestingDemo TeamArchitecture

Damian Scherrer

Architecture

Dhairya Taneja

Demo TeamCommunity Contributor

Dipesh Dutta

DevelopmentTestingSecurityCertification

Ettore Giallaurito

Demo TeamArchitecture

Fatima Maniyar

Demo TeamCommunity Contributor

Himasree Anigondi

Demo TeamCommunity Contributor

Isha Sharma

Demo TeamCommunity Contributor

Jaime Martin Talavera

Demo Team

James Parkes

Go-to-Market

Jonathan Chen

Demo Team

Joost Damen

Demo TeamCommunity Contributor

Jovana Vujanic

Demo TeamCommunity Contributor

Julian Gross

Demo TeamCommunity Contributor

Ken Chang

DevelopmentTesting

Laura de Paz

Demo Team

Mizuho Hoshino

Demo Team

Michael Tietze

Salesforce ExpertDemo Team

Naveen Korutla

Demo TeamCommunity Contributor

Prashanth Kurimella

Salesforce ExpertDemo Team

Pratik Biswas

Demo TeamCommunity Contributor

Queena Xu

Demo Team

Raj Kelkar

Demo TeamCommunity Contributor

Rajesh Gowrineni

Demo TeamCommunity Contributor

Rohit Nandy

Demo TeamCommunity Contributor

Ryan Hoegg

DevelopmentDemo TeamTestingCommunity Contributor

Suraj Kamal

DevelopmentCommunity Contributor

Sandeep Shenoy

Demo TeamCommunity Contributor

Saptarshi Chakraborty

Demo TeamCommunity Contributor

Shreekanth Kyatsandra

Demo TeamArchitecture

Tanupam Saha

TestingDemo TeamCommunity Contributor

Tommaso Bolis

DevelopmentDemo TeamTesting

Vibhor Sharma

Testing

Yogesh Mudaliar

DevelopmentTestingDemo TeamArchitecture

Executive Sponsors

We are very happy to have our executive sponsorship managed by trusted leaders.

Jennifer McLaughlin

SponsorAdvisory

Wolfgang Kelz

SponsorAdvisory

Advisors

We are fortunate to have a group of experienced advisors who provide guidance and support to help steer the project towards success:

Viktoriya Kotik

ChiefAdvisoryGo-to-Market

Amir Khan

InitiatorAdvisoryDevelopmentTesting

Mihael Bosnjak

InitiatorAdvisoryTestingArchitecture

Jeroen Reizevoort

AdvisoryTestingGo-to-MarketArchitecture

Kranthi Pullagurla

AdvisoryAmazon Bedrock

Sally H'Doubler

AdvisoryProgram Management

Ajay Kumar Kambadkone Suresh

Advisory

Prashant Choudhary

Advisory

Antonio Galdo

Advisory

Ryan Stastny

Product ManagementGo-to-MarketAdvisory

Rohan Vettiankal

Product MarketingGo-to-MarketAdvisory

Brojeswar Roy

Demo TeamAdvisoryPartner

Christian Berker

AdvisoryPartner

Tobias Stein

AdvisoryPartner

Dan Porat

AmbassadorAdvisory

Ajay Rana

Advisory

Credits

MuleSoft AI Chain (MAC) is powered by these incredible open source projects:

• https://docs.langchain4j.dev/ (opens in a new tab)
• https://jsoup.org/ (opens in a new tab)

Design Assets

Below are the MAC Project (opens in a new tab) related logos and assets, each representing a specific connector within the project. These icons symbolize various functionalities that contribute to the overall AI ecosystem:

Name	Preview	Description
MAC Project Logo		Represents the AI delivered through MuleSoft, symbolizing the foundational framework that powers the AI functionalities within the project.
MuleSoft AI Chain Logo		Illustrates the ability to facilitate communication between various Language Models (LLMs), much like a parrot’s aptitude for mimicking speech, signifying the connector’s role in enabling cross-platform dialogue.
MAC Vectors Logo		Represents the retrieval and dissemination of knowledge across an organization, akin to how an octopus accesses diverse resources across the ocean, making information available wherever it is needed through vector databases.
MAC Crawler Logo		Symbolizes the crawling of websites and portals, similar to a cat exploring its surroundings. This connector is designed to gather and pass on data to the octopus (vectors), ensuring knowledge is systematically organized and accessible.
MAC Whisperer Logo		Represents the conversion and communication of data between various entities, much like a panda’s symbolic role in facilitating harmony between humans and nature. This connector ensures seamless interaction between other connectors like the parrot and the octopus.
Einstein Logo		Represents innovation and intelligence, inspired by Salesforce’s Einstein. This icon symbolizes the connector's role in delivering predictive analytics and AI-driven insights, helping users unlock data-driven solutions and smart predictions.
Amazon Bedrock Logo		Symbolizes the integration with Amazon Bedrock, representing a bridge to diverse AI models and capabilities. Like a bedrock foundation supporting various geological layers, this connector provides access to multiple foundation models and AI services, enabling robust and flexible AI-powered solutions within the MAC ecosystem.

License

The MAC project and themes are licensed under the MIT license.