We built a memory-powered AI sales agent using Hindsight and cascadeflow
DealMind AI is a memory-powered sales agent designed to help sales representatives recall critical details from past interactions with prospects. It uses Hindsight for persistent semantic memory and cascadeflow for cost-efficient model routing, enabling the agent to provide accurate, context-rich call preparation. The system integrates with a React frontend and FastAPI backend, offering features like call logging, deal risk scoring, and personalized follow-up drafting.
- ▪DealMind AI remembers every call, objection, competitor mention, and commitment using persistent memory from Hindsight.
- ▪The agent uses cascadeflow to route queries to the cheapest suitable model, achieving 95.8% cost savings compared to using GPT-4 for all queries.
- ▪The architecture includes a dual memory system with Hindsight Cloud for semantic search and a local fallback to ensure reliability.
- ▪The system provides specific AI-generated call prep, such as noting board and CFO approval requirements and prior requests for a pilot program.
- ▪DealMind AI was built by Team VoxAid, including Sadhuram Agarwal, Aman, Satyam, and Sattvik, using Groq, React, Tailwind CSS, and FastAPI.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3935235) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Sadhuram Agarwal Posted on May 17 We built a memory-powered AI sales agent using Hindsight and cascadeflow #webdev #javascript #python #ai Every sales rep has the same problem. They jump on a call with a prospect they spoke to 3 weeks ago and remember nothing. The objection raised in Call 2. The CFO's name. The competitor mentioned in passing. It's all gone. The rep sounds generic. The prospect feels like a number. The deal dies. We built DealMind AI to fix this.
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