Own the AI. Own the Future.

Openbnet builds, hosts, and runs its own AI models on its own infrastructure. No third-party API landlords, no metered inference bill that grows with every user — and a cost base that falls as we scale.

The problem

Margin leakage. Costs scale linearly with usage. Every user, every query, every feature adds API spend. Success directly erodes margin.

Strategic dependency. Rate limits, pricing changes, deprecations, and policy shifts are entirely outside the product owner’s control.

Data control. User data flows through third-party infrastructure, creating privacy, compliance, and trust exposure.

No moat. When every competitor rents the same models, nobody owns a durable cost or capability advantage.

The solution

Vertical integration converts AI from a rented variable cost into an owned, declining fixed cost. It also enables the ecosystem model: third-party model providers distribute and monetize inside Ocodey and Spaces under revenue share — turning would-be competitors into platform participants.

Platform layers

• AI Models — Models built, hosted, and run in-house. Structurally lower inference cost than API pricing, plus a capability moat
• Infrastructure — Own servers, hosting, and deployment pipeline. A fixed-cost base — unit cost falls as scale rises
• Products — Ocodey and Spaces monetize the stack directly. Revenue accrues to the stack owner, not an intermediary
• Ecosystem — External model providers earn via revenue share. Aligned incentives — the platform grows stronger with partners

Products

• Ocodey (LIVE) — AI coding, priced to win
• Spaces (LIVE) — Social media, rebuilt around AI

Revenue streams

• Subscriptions — Ocodey: Recurring monthly and annual developer plans
• Subscriptions — Spaces: Premium and Pro consumer tiers
• Advertising — Spaces: Unlocks at scale, layered on top of subscriptions
• Ecosystem revenue share — Both: External model providers monetize on-platform
• Enterprise & partnerships — Both: Team plans and anchor corporate deals

Markets

• AI developer tools — A rapidly expanding category as AI-assisted coding becomes the default way software is written. Incumbents have already validated demand at price points well above Ocodey’s.
• AI social platforms — Social media is a multi-hundred-billion-dollar global advertising and subscription market. AI-native interaction is an emerging category with no entrenched winner.
• AI infrastructure independence — As API costs become a board-level concern, the market is shifting toward owned and self-hosted models. Openbnet is positioned ahead of that curve.

Milestones

• PHASE 0 Trial (0–6 months): Prove operational stability and initial revenue
• PHASE 1 Growth (6–18 months): Move inference in-house and widen distribution
• PHASE 2 Expansion (18–36 months): Own the metal, open the ecosystem
• PHASE 3 Scale (3–5 years): Frontier capability and public-market readiness

Data room

• Full Investor Information Memorandum
• Round size, instrument, and tranche structure
• Margin trajectory and unit economics
• Illustrative revenue path and MRR milestones
• Use-of-funds allocation by phase
• Detailed market sizing and model assumptions

Contact: [email protected]

This page is provided for information only. It does not constitute an offer to sell, or a solicitation of an offer to buy, any securities in any jurisdiction, and it is not a recommendation to invest. Any such offer would be made only pursuant to definitive transaction documents. Certain statements here are forward-looking, including roadmap milestones, market estimates, and listing timing; they reflect management’s current assumptions, are not guarantees of future performance, and actual results may differ materially. Prospective investors should conduct their own independent due diligence and seek independent legal, tax, and financial advice before making any investment decision.