RecordorAI is two things at once: a recurring revenue infrastructure business, and a company-building machine powered by that infrastructure. Investors get both.
Most AI companies sell API calls. RecordorAI sells persistent memory — the thing that makes those API calls actually useful over time.
Every AI agent starts cold. No memory of who the user is, what they decided last week, or what project they're building. RecordorAI fixes that. And then we built a business around the fact that we fixed it.
Monthly subscriptions for the RecordorAI memory platform. Developers, entrepreneurs, and small businesses pay for persistent AI memory — API access, tiered plans, and private data infrastructure.
Recurring revenue. Growing margin. Infrastructure that compounds.
Use RecordorAI's memory infrastructure to build vertical SaaS companies (CRM for home services, legal AI, etc.). Each company grows subscribers on our platform. We sell the company when it's large enough, retain the infrastructure contract.
Factory companies pay reduced token fees back to RecordorAI. Infrastructure stays ours. Repeat endlessly.
A token is a unit of AI computation. When you send a message to an AI, it gets broken into tokens — roughly 4 characters = 1 token. A typical email = 75–150 tokens. A 10-page document = ~3,000 tokens.
Every AI API call costs money per token. The more context you load, the more tokens you burn. Memory that persists across sessions means you don't re-send the same tokens over and over — you pay once, it remembers forever.
Prices verified against official pricing pages. RecordorAI uses open models (GLM-5.1, Qwen 3.6) — Apache 2.0, zero licensing cost. Mem0 is memory-only — you still need a separate inference provider. RecordorAI gives you memory + inference + your data stays yours. No separate API bills.
When you run on OpenAI or Anthropic, you're renting memory at retail prices. Every token that gets re-sent because the AI forgot is money out of your pocket — theirs, actually. RecordorAI owns the hardware, so we own the cost structure. That 800x cost advantage isn't a trick. It's the difference between renting and owning.
Monthly subscriptions. Recurring revenue. Growing margin. Infrastructure that compounds.
Chooses a plan — Starter ($15/mo), Pro ($75/mo), Premium ($175/mo), or Enterprise (custom). Gets API access and/or a browser-based chat UI connected to RecordorAI's memory layer.
Every conversation is stored in the tiered memory system. BGE-M3 embeddings (1024-dim, 0.97 recall@10) power semantic retrieval. When a new session starts, relevant context is retrieved automatically — latency under 10ms hot, under 100ms warm, under 500ms full assembly.
Revenue is recurring. Cost per user: $4.23/month infrastructure only. Phase 1: 2× H100, 160GB VRAM, ~227M tokens/day capacity. At 600 MAU: ~$4K/mo colo vs ~$42K/mo on OpenAI APIs.
COGS at 10K MAU: ~13% (verified against memory algorithm research). Cost per user: $4.23/mo infrastructure only.
Build IP once. Grow subscribers. Sell the company. Keep the infrastructure. Repeat.
Using the platform infrastructure, we build focused products for specific markets — CRM for home services, AI legal assistant, industry-specific tools. Each one uses RecordorAI's memory system as its backbone.
Each factory company acquires its own customers, who pay subscriptions. Factory companies pay reduced token fees back to RecordorAI's platform — contributing to platform revenue while they grow.
When a factory company reaches significant subscriber count, we sell it to a larger player in that space (HubSpot, ServiceTitan, legal tech acquirer). We retain the token usage and support service contract — and use proceeds to fund the next factory company.
RecordorAI's memory platform and hardware infrastructure stay ours and grow with every factory company we build. Each exit adds capital, subscribers, and legitimacy to the platform. The moat gets wider every cycle.
RecordorAI runs on our own hardware. No per-token royalties. No provider seeing your data. No vendor lock-in. You pay once to build the system — then the marginal cost of each additional user approaches zero.
OpenAI and Anthropic are built for single conversations. An agent that needs to remember what a user decided three weeks ago across dozens of sessions — not a supported use case. RecordorAI solves this at the architecture level.
At 10K MAU × 500K tokens/user/mo. Closed provider estimates based on verified OpenAI/Anthropic pricing. RecordorAI infrastructure: actual hosting cost, not marked-up API pricing.
You are not investing in A.L.I.C.E. A.L.I.C.E. (Agentic Learning & Intelligence Coordination Engine) is Rob's personal AI assistant and development team — a 28-agent orchestration system he built over 6 months. It's the tool Rob uses to build RecordorAI. You are investing in RecordorAI — the company that sells the memory platform and runs the App Factory.
Rob brings two things to RecordorAI that no investor can buy after the fact: a working 28-agent AI orchestration system already running 24/7, and proof that the build capacity is real — getalice.av3.ai, robbiesrobotics.ai, and this pitch site were all built by Rob + A.L.I.C.E. together.
A.L.I.C.E. is Rob's personal dev team. She runs while he sleeps. She coordinates research, writes code, builds sites, and manages workflows without sick days or burnout. Rob brings this system to RecordorAI as his personal contribution — not part of the company's equity stack, not part of the raise.
Compiles market data, verifies competitor pricing against official sources, drafts technical specifications. This deck required zero manual research — A.L.I.C.E. compiled the market data and verified every competitor claim.
Spawns specialist agents for API services, databases, and deployment pipelines. Manages live services across multiple infrastructure targets simultaneously.
Security review agents audit infrastructure and data flows against OWASP Top 10, HIPAA, and SOC 2 requirements. Generates risk assessments without prompting.
Built and deployed getalice.av3.ai and this investor site — from content to deployment — in under 24 hours. Real brand assets, not prototypes.
A.L.I.C.E.'s own marketing site. 33 specialist agents, open-source framework, live cloud product. Real brand, real portfolio.
View site →Rob's enterprise AI portfolio. Live since 2024. Clients in FinTech, legal, and defense. Shows sustained build capability over time.
View site →Research, content, design, code, deployment — all by Rob + A.L.I.C.E. together. Proof of concept for how the RecordorAI team will build going forward.
You're looking at itPlatform break-even: ~600 MAU generating $31K/mo revenue at Phase 1 capacity. Hardware payback: ~8.4 months. At current developer community traction and A.L.I.C.E.'s build velocity, covering burn within 12 months is the target.