AI AdvisorAI AdvisorThere are 3 phases to accomplish this: Phase 1: Software Execution Layer - This involves creating a sales agent to do outbound sales, inbound sales and AEO Phase 2: Research Layer - After the context window and hallucination problems are solved, we will advance to inventing proprioceptive intuition, proactivity and intention into LLM's. - Keep existing revenue model for Prospect AI but move away from traditional sales to collaborating with model providers to make their models better. Phase 3: Intelligence and Hardware - Create drones and satellites and other means of getting non-public information to commercialise (similar to how a hedge fund uses satellites for trading).
Invent the Economic Nervous System for All Mankind
11B B2B outreach messages are sent every day
Domains and email addresses are set up and warmed up to avoid spam.
Database of 530M+ leads
Preventing bouncebacks by verifying email addresses.
Ai Assistant that executes tasks based on command
Research on prospects to find alignment between product sold and their needs
Execution on email and Linkedin
Prospect AI in the news
Meet the people behind Prospect AI
CEO
First BD hire at Ivo.ai ($355M valuation). Independent ML researcher since 2017, focused on classification and LLM psychographics. Built a sales agency.
LinkedInCTO
Self-taught mechanical and software engineer. Sold hand-built motorcycles. Built a SaaS to 6-figures ARR and exited.
ML Researcher
Experience building in Electric Vehicles and AR/VR systems. Ganapathy's first hire at his last company. Built context mapping and knowledge graphs for agentic decision making.
ML Researcher
ML & NLP background -sequence models, attention mechanisms, language understanding. Researching why LLMs write correct SQL but return wrong answers - the schema understanding gap. Discovering why teams can't trust AI-generated queries on undocumented databases
