We optimized an existing app to reduce task completion from 4 days to 10 minutes in 3 months

Client: SERHANT.

Human-managed backend tasks create operational delays

Serhant, a leading real estate brokerage lead by Ryan Serhant, the #1agent in the US, built a proprietary app to manage backend tasks such as writing property descriptions and conducting market analysis. Task completion was managed by humans on the back-end resulting in a 4-day turnaround time.

Multi-agent AI architecture streamlines task execution

Matter developed a suite of AI agents that could efficiently handle multiple tasks simultaneously, integrating complex agent workflows and automations through a multi-agent architecture. Unlike traditional single-threaded AI chatbots, this sophisticated setup allowed for coordination among multiple specialized AI agents, drastically reducing task completion time.

Scope & technology

We automated multiple real estate centric processes using Python, Pinecone and multiple AI integrations. Workflows that took days now take minutes.

AI-Driven system reduces task time from days to minutes

The build was completed within 3 months. With the introduction of AI-driven systems by Matter, Serhant experienced a transformative reduction in task completion time—from 4 days to just 50 minutes, and eventually to an ambitious target of 10 minutes. Additionally, seamless integration into familiar platforms eliminated the need for additional spending on new web applications, driving significant ROI.

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How we helped our client save their customers millions in software costs