AI thatmakesmoney^{[$2M+ ARR]}

The full AI-driven outreach pipeline: 117K+ personalized emails and 10K+ AI voice calls within 6 hours, zero human involvement. Replaced an inside sales team with LangGraph agents wired to Twilio, ElevenLabs and HubSpot.

• —117K emails + 10K calls in 6 hours
• —Zero human intervention end to end
• —Lead → booked appointment, fully automated

Used by 20K+ legal professionals. Replaced flat RAG with KAG on a Neo4j graph to catch long-range contradictions across 50+ page case files — something standard RAG physically cannot do.

• —10,000+ legal case files processed
• —PII masking pipeline for compliance
• —Multi-agent OCR + chronology generation

A KAG-based legal copilot that learns the language, patterns, and working style of each firm — then drafts emails, supports deals, and handles open-ended legal work. It routes every request through the right reasoning mode instead of forcing one pipeline.

• —Learns each firm's tone, patterns, and working style
• —Three reasoning modes: RAG, deep thinking (query solver), and hybrid (thinking over retrieved context)
• —Drafts emails, supports deal workflows, and open-ended legal tasks

A modular platform for building, testing and shipping RAG at enterprise scale: A/B testing across LLM providers, PII redaction, evaluation dashboards, tenant-level performance controls.

• —Provider-agnostic A/B testing
• —PII redaction + compliance layer
• —Evaluation dashboards with scoring

Founded from zero and led 14 engineers. AI-enhanced search with geolocation, NLP and preference modeling cut search latency by 80% across 15,000+ global listings.

• —1,200+ agency clients onboarded
• —80% search latency reduction
• —99.9% uptime on AWS