Our AI-native system keeps growing, and we're integrating it into more of our daily workflows at ModumUp. It saves hours of time for our team.

At the core is an internal operating system paired with a database. We gather information from multiple sources, process it, and provide it to agents. The team can also work directly with the data and generate outputs.

Security is a priority: local LLMs handle sensitive data, while cloud models process everything else.

For instance, during a client Zoom call, the system collected notes from the conversation, chat history, project files, and external research. It then built a target company list for ABM outreach on LinkedIn, suggested approaches for each account, and identified contacts inside those companies. The list can go directly into automation tools, but we usually review it manually first.

We also developed a quality control system for LinkedIn posts. It checks over 100 parameters and flags anything that doesn’t match our content guides and best practices.

There are additional applications with our CRM and other workflows.

With an AI-native setup, almost anything that once seemed too complex is now achievable — limited only by time and focus.