ProspectAI is a distributed AI platform that continuously discovers, enriches, rank and engages prospects using autonomous AI agents, LLM reasoning, and real-time data pipelines. Built for scale from day one.
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• Autonomous prospect discovery agents
• Multi-source enrichment pipelines
• Vector-based semantic lead scoring
• LLM-powered research and messaging
• Predictive revenue intelligence
Streaming ingestion pipeline collects intent signals, hiring data, company growth metrics, technographic signals and public web data. Data is normalized and enriched in real-time.
LLM-driven research agents build contextual company profiles, map decision makers, and generate structured prospect intelligence from unstructured sources.
Embeddings are generated for companies, leads and ICP definitions. A vector similarity engine continuously ranks opportunities based on semantic relevance and conversion likelihood.
AI agents orchestrate personalized outreach sequences using context-aware generation and response modeling.
ProspectAI is designed as a cloud-native AI system combining distributed compute, event-driven pipelines and large-scale model inference.
Our platform leverages containerized microservices, autoscaling compute clusters, distributed inference workloads, and managed data services to process millions of prospect signals daily.
LLM orchestration, embedding pipelines, retrieval-augmented intelligence and continuous model evaluation loops.
Real-time event processing, large-scale enrichment jobs, and vector search infrastructure powering lead discovery.
Autoscaling container workloads running AI agents, feature pipelines and predictive models.
API-first architecture enabling integrations with CRM, sales automation tools and internal data systems.
We are currently onboarding design partners and early adopters. Join the waitlist to get early credits and access to the AI platform.