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

Ahmed-Jibril Ait ouaret

Ahmed-Jibril Ait ouaret

DevelopmentTestingDemo Team
Akshata Sawant

Akshata Sawant

Demo Team
Anand Shankar

Anand Shankar

Demo TeamArchitecture
Alick Wong

Alick Wong

DevelopmentTestingDemo TeamArchitecture
Arpit Gupta

Arpit Gupta

DevelopmentTestingSecurityCertification
Aston Whiteling

Aston Whiteling

Product Marketing
Beauty Mishra

Beauty Mishra

Demo TeamCommunity Contributor
Burak Tas

Burak Tas

Demo Team
Carlos Casares

Carlos Casares

TestingDemo TeamArchitecture
Chiew Lee

Chiew Lee

DevelopmentTesting
Chuck Hirstius

Chuck Hirstius

TestingDemo TeamArchitecture
Damian Scherrer

Damian Scherrer

Architecture
Dhairya Taneja

Dhairya Taneja

Demo TeamCommunity Contributor
Dipesh Dutta

Dipesh Dutta

DevelopmentTestingSecurityCertification
Ettore Giallaurito

Ettore Giallaurito

Demo TeamArchitecture
Fatima Maniyar

Fatima Maniyar

Demo TeamCommunity Contributor
Isha Sharma

Isha Sharma

Demo TeamCommunity Contributor
Jaime Martin Talavera

Jaime Martin Talavera

Demo Team
James Parkes

James Parkes

Go-to-Market
Jonathan Chen

Jonathan Chen

Demo Team
Joost Damen

Joost Damen

Demo TeamCommunity Contributor
Jovana Vujanic

Jovana Vujanic

Demo TeamCommunity Contributor
Julian Gross

Julian Gross

Demo TeamCommunity Contributor
Ken Chang

Ken Chang

DevelopmentTesting
Laura de Paz

Laura de Paz

Demo Team
Mizuho Hoshino

Mizuho Hoshino

Demo Team
Michael Tietze

Michael Tietze

Salesforce ExpertDemo Team
Prashanth Kurimella

Prashanth Kurimella

Salesforce ExpertDemo Team
Queena Xu

Queena Xu

Demo Team
Suraj Kamal

Suraj Kamal

Development
Tanupam Saha

Tanupam Saha

TestingDemo TeamCommunity Contributor
Tommaso Bolis

Tommaso Bolis

DevelopmentDemo TeamTesting
Vibhor Sharma

Vibhor Sharma

Testing
Yogesh Mudaliar

Yogesh Mudaliar

DevelopmentTestingDemo TeamArchitecture

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

Viktoriya Kotik

ChiefAdvisoryGo-to-Market
Amir Khan

Amir Khan

InitiatorAdvisoryDevelopmentTesting
Mihael Bosnjak

Mihael Bosnjak

InitiatorAdvisoryTestingArchitecture
Jeroen Reizevoort

Jeroen Reizevoort

AdvisoryTestingGo-to-MarketArchitecture
Kranthi Pullagurla

Kranthi Pullagurla

AdvisoryAWS Bedrock
Sally H'Doubler

Sally H'Doubler

AdvisoryProgram Management
Ajay Kumar Kambadkone Suresh

Ajay Kumar Kambadkone Suresh

Advisory
Prashant Choudhary

Prashant Choudhary

Advisory
Antonio Galdo

Antonio Galdo

Advisory
Ryan Stastny

Ryan Stastny

Product ManagementGo-to-MarketAdvisory
Rohan Vettiankal

Rohan Vettiankal

Product MarketingGo-to-MarketAdvisory
Dan Porat

Dan Porat

AmbassadorAdvisory
Christian Berker

Christian Berker

AdvisoryPartner
Tobias Stein

Tobias Stein

AdvisoryPartner
Ajay Rana

Ajay Rana

Advisory

Credits

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

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:

NamePreviewDescription
MAC Project LogoProject LogoRepresents the AI delivered through MuleSoft, symbolizing the foundational framework that powers the AI functionalities within the project.
MuleSoft AI Chain LogoAI LogoIllustrates 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 LogoDeep Learning LogoRepresents 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 LogoCrawler LogoSymbolizes 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 LogoNLP LogoRepresents 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.
MAC Einstein LogoEinstein LogoRepresents 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.
MAC AWS Bedrock LogoAI LogoSymbolizes the integration with AWS 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.