Profitable & Autonomous AI SaaS for Domain Asset Investment | Proprietary Sales & Outreach Data

This listing is structured primarily as a technology and intellectual property (IP) acquisition. You are acquiring a production-ready, autonomous AI infrastructure designed to execute the complete domain investment lifecycle, powered by proprietary AI models and an extensive proprietary domain intelligence dataset. The platform is actively monetized and generating a rapidly scaling ~$9,500 Monthly Recurring Revenue (MRR), growing from $3,450 in June 2026 to $9,528 in August 2026. The buyer acquires both a profitable, growing revenue stream and institutional-grade proprietary technology, datasets, and AI infrastructure. Revenue since launch: $30,842 (Pre-June: $3,968 · June: $3,450 · July: $7,842 · August: $9,528 · September 1–22: $6,054). Annual figures reflect the period since launch in 2026, not a full calendar year. Key Acquisition Highlights: ✅ Profitable autonomous AI engine with active, rapidly scaling recurring revenue ✅ 460,000+ verified historical domain sales records powering proprietary AI valuation models ✅ 1,000,000+ verified B2B buyer & outreach records built from real acquisition campaigns ✅ 1.4M+ proprietary domain market & buyer intelligence records ✅ Custom Google Vertex AI fine-tuned models trained on proprietary market data ✅ Complete source code, cloud infrastructure, datasets, AI models & intellectual property included 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+ verified historical domain asset transactions, achieving 93.8% prediction accuracy. * The Proprietary Data Assets: Full ownership of proprietary BigQuery datasets containing 460,000+ verified historical domain sales records and 1,000,000+ verified buyer & outreach records, collected and structured from real-world domain acquisition campaigns. * Enterprise Codebase: A highly scalable autonomous multi-agent orchestration architecture deployed serverlessly on Google Cloud Platform with near-zero operational overhead and heavily optimized compute efficiency (~93% profit margins). Core Autonomous Capabilities The system acts as a fully autonomous AI agent for domain investors by: ✅ Predicting premium domain opportunities before the market reacts. ✅ Delivering complete AI-powered domain valuation in under 4 seconds. ✅ Monitoring auctions and expiring domains while executing ROI-driven bidding strategies. ✅ Matching domains with qualified buyers and automating outbound sales campaigns. ✅ Detecting trademark conflicts and UDRP risks before acquisition. Valuation & Upside Rebuilding this platform—including the autonomous AI infrastructure, proprietary datasets containing 1.4M+ records, custom Vertex AI models, and production architecture—would require significant engineering investment and months of data collection, before acquiring a single paying customer. At the current asking price of $110,000 (3.6x TTM revenue), the buyer acquires this institutional-grade technology and proprietary data assets together with an actively growing platform generating ~$9,500 MRR (~$114,000 ARR run-rate) at ~93% profit margins. The complete Technology Acquisition Dossier PDF, including cloud architecture, BigQuery datasets, Vertex AI infrastructure, and technical documentation, is included with the sale. Full platform handover and transition support will be provided to the acquiring buyer.

Category:
SaaS
Asking Price:
$110,000
Annual Revenue:
$30,842
Annual Profit:
$28,671

Growth Opportunity:

B2B API Monetization & Enterprise Licensing: A major untapped growth opportunity is packaging the proprietary AI valuation engine and domain intelligence datasets into a high-margin B2B API. This would enable enterprise licensing for domain registrars, aftermarket platforms, hosting providers, and digital marketing agencies—delivering instant domain valuation, predictive scoring, and market intelligence with minimal additional operational overhead.