Joyn.one Co-Pilot AI Enhancement

Arus.io partnered with Joyn, leveraging our technical consulting expertise to empower their vision of creating an AI-enhanced operational platform. Our engagement was multi-faceted, with a focus on enabling Joyn to fully harness the potential of machine learning and artificial intelligence.

Challenge and Strategic Direction:

Joyn faced challenges in their backend infrastructure and required an accelerated development of ML/AI capabilities. The complexity of their needs demanded a detailed, strategic approach to establish a clear path toward an advanced AI-driven system.

Technical Analysis and Decision-Making:

Our consultancy’s role expanded into an extensive technical audit and competitive analysis of AI technologies, aligning with Joyn’s bespoke needs.

• After thorough consideration, the decision to utilize BigScience, with its robust Langchain support and ease of transfer learning, became a cornerstone of our recommendation, enabling Joyn to proceed with a scalable and customizable AI solution.

Infrastructure and Talent Sourcing:

Arus.io went beyond consulting to provide tangible enhancements to Joyn’s technical infrastructure and team composition.

• A rigorous audit of Joyn’s AWS infrastructure resulted in actionable insights that enhanced their system’s scalability and cost-efficiency.
• We also took a proactive stance in sourcing and vetting candidates for a senior backend infrastructure role, ensuring the placement of a resource that would be instrumental in the execution of the laid-out AI strategy.

Roadmap Development and Execution:

A significant part of our engagement involved the creation of a comprehensive ML/AI development roadmap for Joyn.

• Our workshops with key stakeholders at Joyn led to a detailed path for establishing ML/AI capabilities, including technology stack selection, data management best practices, and a phased approach to model training and deployment.

Operational and Technical Impact:

The services provided had a significant impact on Joyn’s operations, evidenced by concrete outcomes.

Our guidance in developing ML/AI pathways and infrastructure optimization was reflected in Joyn’s improved capability to handle real-time operational data and apply AI-driven insights.

By facilitating the evaluation and hiring of critical technical roles, we ensured that Joyn was equipped with the necessary expertise to maintain and advance their AI initiatives.

• + BigScience with Langchain Support
• + Python
• + AWS Infrastructure Enhancement
• + Strategic Talent Acquisition
• + Research: Google LaMDA && Google palm2, Meta Llama 2