This listing is structured primarily as a technology and intellectual property (IP) acquisition. You are acquiring a production-ready, autonomous AI infrastructure designed to natively execute the complete domain investment lifecycle, powered by custom-trained LLMs and a massive proprietary data moat. While the platform is actively monetized and generating a sustained ~$2,800 Monthly Recurring Revenue (MRR), the current valuation is anchored strictly on the engineering replacement cost of the underlying codebase, datasets, and AI architecture—offering the asset at a heavily discounted entry point. The Proprietary AI & Data Assets (Included in Sale): Software logic can be replicated; proprietary datasets and fine-tuned models cannot. The core enterprise value resides in: - The Custom Model: A proprietary LLM fine-tuned via Google Vertex AI on a structured dataset of 460,000+ historical, verified domain asset transactions, achieving a 93.8% prediction accuracy. - The Data Moat: Full ownership of our BigQuery datasets, including deep transaction forensics and over 1,000,000+ clean, highly qualified B2B outreach leads built from successful domain campaigns. - Enterprise Codebase: 45 highly scalable, containerized Python microservices deployed serverlessly on Google Cloud Run, orchestrating a complex multi-agent system with near-zero ongoing operational overhead (infrastructure costs are <$700/year). Core Autonomous Capabilities: The system acts as a 24/7 autonomous agent for its users, executing operations that normally require manual labor and fragmented tools: - Predictive Origination (The AI Time Machine): Synthesizes live market breakthroughs to predict and hand-register premium domains before the crowd reacts. - 4-Second Consolidated Valuation: Replaces manual checking. The engine delivers an instant verdict: quality score, historical comps, and a recommended bid. - Whale Watch & Auction Sniping: Autonomous agents monitor the market, tracking expiring drops and executing live bids within the user's exact ROI thresholds. - Autopilot End-User Sales: Precision end-user matching and outbound sales outreach that is autonomously segmented, sequenced, and executed. - Zero-Liability Investing: Trademark conflicts and UDRP risks are actively flagged before a bid is placed. The Valuation & Upside: To build this 45-microservice architecture, compile the 1.4M+ proprietary records, and fine-tune the Vertex AI models would cost an estimated $85,000+ in raw engineering replacement cost. At the current asking price, the buyer acquires this institutional-grade IP at a massive discount to its fundamental build cost. Furthermore, because the system boasts a validated, active MRR run-rate of ~$33,420, the buyer effectively acquires the platform at an ultra-lean ~1x forward ARR multiple. It is built to dominate the market immediately. (Note: The complete Technology Acquisition Dossier (PDF) detailing the cloud architecture, BigQuery datasets, and Vertex AI logs is attached to this listing. Platform access and transition support will be provided to the acquiring party).
B2B API Monetization & Enterprise Licensing: A massive, untapped growth vector is packaging the proprietary multi-agent valuation engine and historical datasets into a high-margin B2B API. This allows for immediate expansion into enterprise licensing—offering instant domain forensics, predictive scoring, and automated valuation to domain registrars, aftermarket platforms, and digital marketing agencies with virtually zero additional operational overhead.