Bussiness Ideas

Lehar.ai is a schema-driven Voice AI platform that transforms unstructured customer conversations, across phone calls and WhatsApp, into structured, CRM-ready business data. Most Indian enterprises still rely on manual note-taking or basic call recordings after a customer interaction, losing critical information and delaying follow-up action. Lehar.ai solves this by deploying AI voice agents that engage customers naturally in Hinglish and regional context, while simultaneously mapping the conversation onto a business-defined data schema in real time. This means a lead's requirements, objections, budget, and intent are captured as structured fields the moment a call ends, ready to flow directly into a CRM without manual data entry. Lehar.ai has built a proprietary testing harness that simulates realistic customer personas across scenarios and runs them against our voice bot, evaluating each conversation with specialized AI judges for compliance, task completion, conciseness, and politeness. This lets us catch failures and quality gaps before deployment, rather than discovering them in live customer calls. A self-learning layer is on our roadmap, where judged outcomes feed back into the system to continuously improve bot performance without manual retraining. Together, this gives Lehar.ai a scalable, automated quality-assurance loop that most voice AI providers still handle through manual QA. Our initial focus is residential real estate, where brokers and builders currently lose leads due to slow, inconsistent follow-up, with recruitment, automotive, and BFSI as the next verticals. By combining conversational AI with a compliance-aware, telecom-regulation-conscious architecture, Lehar.ai addresses both India's language diversity and its regulated calling environment. The result is faster lead response, better data quality, and structured business intelligence generated automatically from every customer conversation, at a fraction of the cost of a human calling team.

Startup Teams

• 1 Vikas Awasthi (Founder)
• 2 Shruti Sikarwar (Director)

Incubation Details

• Incubator Name
  AIC-GBU Incubation Centre
• Incubator Host Institution
  Gautam Buddha University
• State
  Uttar Pradesh
• City
  Gautam Buddha Nagar