AI Based CRM

Inspiration

Traditional CRMs often feel like glorified databases that require endless manual data entry. We were inspired to build a system that actively works for the sales team rather than just storing their notes. We wanted to leverage modern LLMs to transform a passive tracking tool into an active, autonomous teammate.

What it does

CustBuds is an AI-native CRM designed to supercharge sales pipelines. It moves beyond standard contact management by deploying autonomous prospecting and deal intelligence agents. These agents can analyze leads, suggest next steps, and help automate the initial outreach process, allowing human sales reps to focus on closing deals instead of data entry.

How we built it

We developed CustBuds with a robust full-stack architecture. The user interface was built using a React frontend to ensure a smooth, responsive experience for sales teams. The core logic and agent orchestration are handled by a Node.js backend. To power the autonomous agents and deal intelligence, we integrated the Groq and Mistral APIs, ensuring high-speed and accurate natural language processing capabilities.

Challenges we ran into

One of the primary challenges was orchestrating the autonomous agents to ensure they provided reliable, context-aware intelligence without hallucinating details. Integrating multiple LLM APIs (Groq and Mistral) into a seamless backend pipeline while maintaining low latency for the end-user also required significant optimization and careful prompt engineering.

What we learned

Building CustBuds deepened our understanding of agentic AI architectures and how to effectively bridge the gap between complex LLM capabilities and practical, user-facing enterprise software. We also gained valuable experience in optimizing backend workflows for AI-driven applications.

What's next for CustBuds

We plan to expand the agent capabilities to include more automated integrations with email and calendar platforms, refine the autonomous prospecting algorithms, and introduce more granular analytics to track agent performance alongside human sales metrics.

Built With

• css
• groq
• html
• javascript
• mistral-api
• node.js
• react
• tavily-api
• typescript