AI-Powered Networking SDK Development

Future AI provides innovative AI-powered solutions to enhance user networking and connection-building. Our team contributed to the development of an AI-driven SDK that analyzed users’ contacts and identified new valuable connections. Additionally, we worked on a side project that leveraged this SDK to create optimized professional networks through LinkedIn.

Project overview Project details

Services used:
About the project:

Client: Future AI

Location: USA

Industry: AI, Business Networking

Team Size: 1 Full-Stack Developer

Project Duration: 3 months

Future AI specializes in AI-driven technology that helps users make the most of their existing connections. By analyzing contact data, their SDK enables users to discover meaningful connections beyond their immediate network. The goal was to create a tool that intelligently maps out professional relationships, fostering more strategic networking opportunities.

Project functionality Project idea and features

The primary goal of this project was to build an AI-powered SDK that analyzes user contact data to generate useful networking recommendations. Key features include:

  • AI-Powered Contact Analysis – The SDK scans and analyzes user contacts to find potential valuable connections.
  • Smart Connection Mapping – With the help of AI algorithms, the system identifies beneficial “friends of friends” relationships that can help expand a user’s network.
  • LinkedIn Integration – A side project applied the SDK’s capabilities to LinkedIn, structuring meaningful relationship chains for professional growth.
  • Real-Time Data Processing – The system continuously updates and refines suggestions based on new contacts and user interactions.
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Key features Product functionality

Polymath


A comprehensive platform that enables rapid development and deployment of AI-native applications. It allows businesses to implement AI-driven features, enhance user experiences, and scale their AI-powered solutions seamlessly.

Masterpiece


An advanced generative AI architecture that prioritizes security, privacy, and real-time data processing. It utilizes a dual dataset approach and integrates Future AI’s Leo-1 model to provide contextualized, AI-driven experiences while filtering sensitive user data before processing.

Leo-1


A powerful AI model that creates generative UIs, turning traditional graphical apps into fully automated, intelligent interfaces. Through user-connected data, Leo-1 powers personalized experiences, secure data processing, and next-gen AI-driven apps across industries.

Project delivery Development process

Our Full-Stack Developer played a key role in the development of the SDK, ensuring its accuracy, efficiency, and scalability. He worked on optimizing AI-driven algorithms that effectively analyze user data to generate valuable networking recommendations.

Additionally, the developer contributed to the side project that leveraged the SDK to enhance professional networking by identifying strategic LinkedIn connections. By utilizing modern development frameworks and best practices, he ensured seamless integration, high performance, and a user-friendly experience.

As a result, Future AI’s solution became a powerful tool for users looking to expand their networks in a meaningful and efficient way.

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Tech stack The scope of the project

Frontend & Backend Frameworks:

  • Next.js;
  • NestJS.

Programming Languages:

  • JavaScript.

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