We convert sales conversations into self-learning marketing systems, then deploy capital to scale what's proven to work.
Watch how every call transforms into actionable intelligence that automatically improves your entire funnel
"Hi, I'm interested in roof replacement. We had storm damage last week and insurance wants 3 quotes. Budget is around $15-20K, need it done in the next 2-3 weeks..."
92% of businesses don't have a single campaign that consistently generates measurable revenue.
Marketing, sales intelligence, and capital allocation are completely disconnected.
Aonxi is the first system to connect all three: Intelligence → Campaigns → Capital.
An RMC is a campaign scientifically proven to generate revenue—tracked from $1 spent to $1 earned.
Nobody has ever focused on Revenue-Making Campaigns as the fundable unit.
Traditional investors fund businesses. Traditional agencies sell marketing services. We do neither. We scientifically identify campaigns that mathematically prove they generate revenue, then deploy capital directly into those campaigns and collect from the revenue they produce.
The technology didn't exist. Production-grade LLMs (GPT-4), Whisper-level transcription, mature ad platform APIs, instant payment rails (Stripe), and real-time data infrastructure (Kafka, Clickhouse) only became viable in the last 24 months.
The insight is counterintuitive. Everyone funds businesses. We fund campaigns. Everyone sells marketing services. We tie payment to revenue. Everyone uses credit scores. We use RMC Score and ROCS metrics.
Aonxi exists because the infrastructure matured and the insight crystallized: The RMC is the fundable unit, not the business.
Every $3,000 CAC → $36,000 ARR. Cash-neutral acquisition. Profit by Day 60.
Every $1 of external funding behaves as a recurring-yield instrument, not a burn line.
$30M pipeline ready to deploy • Every metric tracked in immutable ledger • 100% auditable
Conservative model: $30M pipeline → $100M ARR in 18-24 months with proper capital deployment.
At $100M ARR with 6x multiple = $600M+ valuation
Source: Multiples.vc Software Valuation Report October 2025 →
Disciplined 50/35/15 allocation: CAC facility, product/engineering, operations.
HubSpot, Salesforce, or Gong could build similar closed-loop features.
Our moat is per-tenant learning history, not features. Competitors can't replicate 12+ months of compounded customer-specific intelligence. Switching cost increases monthly. First-mover advantage in closed-loop execution creates data flywheel competitors can't match.
Model inference costs and compute availability could impact margins.
Cost per inference trending down 40% YoY. Multiple GPU providers secured. Model optimization roadmap in place. Architecture designed for cost efficiency with tiered processing.
95% retention may seem high for SMB SaaS (typically 70-80% annual).
Our 95% figure includes upsells (net retention). We target call-rich, high-intent SMBs with proven payment behavior. The intelligence loop makes them smarter monthly—switching destroys their private AI history. Cohort tables available for diligence.
Scaling from pilot to 1,000+ customers requires operational maturity.
Team has scaled similar systems before. CAC model is cash-neutral (1× Month-1), so no burn risk. Playbook documented, hiring pipeline active. Investors can audit execution metrics in real-time.
Call recording and AI analysis face GDPR, CCPA, TCPA compliance.
SOC 2 Type II in progress. Enterprise-grade encryption. Explicit consent workflows built-in. Legal review of all automation. Customers own their data; we're processor, not controller.
Path to $2.5B+ valuation within 36-48 months at infrastructure software multiples.
Aonxi is a verified revenue engine. The system is built to compound autonomously.
Every $3,000 invested becomes $36,000 ARR inside 90 days. CAC payback <30 days. Profit by Day 60.
$30M pipeline ready to deploy. Not theoretical—auditable and actionable.
This is the moment to define how 400 million businesses will grow for the next generation.
Questions welcome. Each perspective helps us refine the model.
origin@aonxi.com
Explore our company story and mathematical framework