Hotbound.AI

Notes and Calling Functionality
LinkedInProfile Screenshot uploads and Voice Transcribing Functionality

Inspiration

We are a team that ha enterprise and SaaS sales experience and realized how important it was to develop personal connections and leverage common ground with the sales prospect, escpially during longer and higher stakes sales cycles. In today’s competitive business landscape, several companies are facing a critical issue: salespeople are burning through valuable leads due to a lack of communication skills. Many salespeople struggle with engaging potential customers and convincingly advertising a product, resulting in wasted potential and resources. In fact, failing to close the skills gap may result in a $8.5 trillion loss in annual revenues globally by the year 2030. Companies from various industries suffer from significant revenue loss and lack of growth. Standard company training and CRM platforms are insufficient solutions. Salespeople need a medium to practice that offers a customized learning experience. This is where Hotbound.ai comes in. Hotbound.ai simulates a real-life conversation with potential customers and reviewers. The experience is built upon customer profiles, such as LinkedIn, as well as product and salesperson information; therefore, it is personalized to all parties involved.

What it does

Our AI-powered system analyzes individual performance data to identify specific skill gaps and tailors recommendations and notes to the salesperson’s targeted skill improvement needs. Our app allows a salesperson to upload a screenshot of their prospects Linkedin profile and additional context info via an audio transcript descirbing previous calls and additional context they reserached about the prospect. We then generate a voice agent based off of that exact prospect persona that the salesperson can simulate a sales call with. The average return on investment for sales training is 353%, promising significant gains from addressing skill gaps. We allow salespeople to practice and train on the actual personas of who they are going to be cold calling in high stakes contracts. Hotbound.ai is propelling companies to secure hot leads one salesperson at a time!

How we built it

Frontend: Swift UI for iOS app development NavigationStack for app navigation Backend: Cursor for Python-based backend services AI and Machine Learning: Gemini 1.5pro for LinkedIn profile analysis Voice Processing: Deepgram for real-time voice transcription Vapi.ai for AI voice response generation Data Storage and Retrieval: Chroma Vector DB for efficient data storage and RAG implementation

Challenges we ran into

Vapi.ai documentation and iOS SDK integration

Accomplishments that we're proud of

Ingesting Deepgram audio transcript and visual input through Gemini API to create knowledge base

What we learned

We learned about how to integrate various APIs and create a unique product by leveraging AI in our applications. We also learned how to process both image and voice data and simulate a real time call while personalizing each call.