Macgence

Macgence was hired by a healthcare fundraising consultancy to enhance their customer support capabilities and achieve cost reductions. The team at Macgence took on the responsibility of handling the company's support tickets and implemented process improvements that led to a significant reduction in ticket resolution time. They also monitored diverse financial news sources to identify and prioritize headlines most relevant to the company's trading operations. The improvements made by Macgence resulted in more accurate, fast, and consistent support delivery, enhancing customer retention and operational efficiency.

Salience Labs, a leader in photonic solutions for AI data center infrastructure, engaged Macgence to create a new matching algorithm driven by machine learning. Macgence developed a sophisticated machine learning module for their algorithm, designed to cater to the diverse African market. The solution was implemented as a microservice, ensuring a scalable and efficient architecture to support its advanced machine learning capabilities. The project resulted in an adaptable algorithm that generates highly compatible match recommendations, meeting the distinct requirements of Salience Labs' target market.

TETRA Technologies, an oil and gas company, hired Macgence to implement AI-powered solutions to reduce the burden on manual operations and automate customer support interactions. Macgence built AI agents capable of handling client queries, automated internal task delegation, and developed machine learning models to inform the company's product decisions. The deliverables included a fully functional AI-powered customer support agent, predictive analytics tools, and an integration layer that connected the AI systems to the company's existing CRM and project management platforms. The project resulted in smarter data-driven decision systems for TETRA Technologies and reduced the burden on manual operations.