YOUR OWN AI


OpenAI CEO Sam Altman says the next major leap in artificial intelligence won’t come from better reasoning, but from AI systems that can remember users, preferences, and interactions over time.While session-based AI resets between conversations suffer from Digital Amnesia, forgetting your context the moment a session ends, OWN AI builds a lifelong memory. By architecting a persistent, encrypted knowledge graph of your life-data, we move beyond transactional chatbots into a personalised AI workforce.

BE KNOWN

OWN's ecosystem of voice-native agents don’t just chat; they are designed for long-term recall to organise and execute both personal and business tasks.We're not just feeding a transcript; we're storing structured context and facts in a secure database that your personalised AI can query forever. The only thing that won't persist is the frustration of starting over.

VERTEX AI MEMORY BANK

Every conversation, document, and voice note builds your Sovereign Intelligence. OWN utilises native Vertex AI Entity Extraction and Consolidation to eliminate the "cold start" problem, maintaining a deep, searchable context across all interactions.While session-based AI resets every time you close the window, OWN’s Persistent Context compounds knowledge over years via the Vertex AI Memory Bank. It identifies patterns in your life data using Topic-Based Retrieval to transform raw information into insightful support.Enterprise infrastructure, funded by Google Startups.

OWN YOUR DATA

OWN is built on a Confidential Memory Architecture, leveraging Gemini 3 Flash for high-velocity reasoning, integrated with the Vertex AI Agent Engine for long-term persistence within The Vault.Customer-Managed Encryption Keys (CMEK) via Google Cloud KMS allows users to retain exclusive control over their personal knowledge graph at rest. By combining Zero-Retention API policies with Confidential Space encryption, OWN ensures your dataset remains a private asset stored in The Vault, inaccessible to the platform provider, while remaining fully actionable within the Agent Engine runtime.

OWN AGENTIC WORKFORCE

OWN utilises a hierarchical Multi-Agent System (MAS) built on the Agent2Agent (A2A) Open Protocol and deployed on Vertex AI Agent Engine Runtime. This 'conductor architecture' enables a primary Orchestrator to discover and delegate tasks to specialised Remote Agents via standardised Agent Cards, covering a range from real estate compliance to personal finance, while securing your data within a Confidential Space. Fully text and voice-enabled, the system maintains persistent context across all interactions.Orchestration: Managed by Gemini 3 Flash using dynamic Thinking Levels to balance reasoning depth with sub-second latency.Interoperability: New specialised agents (Double Agents) are 'hot-swapped' into your personal workforce, using MCP connectors for secure, real-time data retrieval. Utilising Agent-to-Agent (A2A) Handshakes to allow users to securely 'lease' or share specialised agents with colleagues.Special Agent: Its primary role is Agentic Orchestration, using the A2A protocol to manage specialised agents and tools. It features Zero-Shot Task Routing to instantly categorise your needs and delegate complex tasks to the correct Double Agent without requiring pre-defined rules.Sovereign Memory Bank: Seamlessly captures life-data into a persistent, identity-isolated Memory Bank service for lifelong context.Proactive Support: Identifies temporal patterns to anticipate needs before being asked. By analysing your Sovereign Memory, it provides sub-second reasoning to offer proactive suggestions based on your unique communication and preference history.

Double Agent: This agentic framework is designed for scaling across various industry sectors, starting with Real Estate. Double Agents are grounded in specialised data stores, such as LIM reports and REA compliance, via secure MCP-integrated connectors managed by the Cloud API Registry.Automated Compliance: Built-in Deterministic Guardrails ensure interactions meet strict industry standards.Contextual Expertise: Inherits data from the Sovereign Memory Bank to understand industry-specific portfolios and client histories instantly.High-Fidelity Retrieval: Delivers sub-second, deep-link citations from complex legal and technical documents, transforming raw data into actionable professional advice.Industry Agnostic Core: The underlying A2A 'conductor architecture' allows for rapid expansion into Legal, Finance, and Enterprise sectors by hot-swapping domain-specific data sets.Free Agent: A marketplace for discovery and transaction. Orchestrate a network of agents, within your private Vault or across a social graph of colleagues, to exchange value and expertise.Agentic Transactions: Leverages the Model Context Protocol (MCP) to securely 'handshake' with external data and financial tools, executing tasks without exposing private keys.The Interaction: Your Free Agent utilises MCP-compliant connectors to manage transactions across wallets and ledgers. By leveraging non-custodial signing protocols, it executes financial and data handshakes on your behalf, retaining the power to act while ensuring your private keys remain exclusively within your Sovereign Vault.

TECHNICAL EDGE

Intelligent AI Orchestration: Built natively on the Vertex AI Agent Engine, OWN uses Gemini 3 Flash for 99% of agentic reasoning (sub-second, cost-efficient). It features automated escalation to high-reasoning models only when extreme multi-step logic is required, ensuring optimal unit economics.Confidential Memory Architecture: Leveraging Google Cloud Confidential Space, we provide a Trusted Execution Environment (TEE). Integrated with Customer-Managed Encryption Keys (CMEK), users retain exclusive ownership over their knowledge graph.Infinite-Context Persistence: By utilising the Vertex AI Memory Bank (GA), OWN handles your entire life history without "context rot." Using Vertex AI's 1M+ token context window to perform deep-reasoning across large datasets without the 'information loss' seen in traditional RAG systems.

Sub-Second Recall: The Sovereign Memory Bank delivers grounded answers in under 2 seconds. By combining the Agent Development Kit (ADK) with Vertex AI Vector Search, OWN performs deep-semantic retrieval across millions of personal data points with industry-leading precision.Supports Cross-Surface Persistence, allowing users to upload documents via Desktop and immediately query them via Native Voice on Mobile.Native Voice Orchestration: Leverages Gemini's Multimodal Live API for near-zero latency interaction. By processing audio natively within the Agent Engine runtime, rather than relying on slow transcription pipelines, OWN enables real-time, hands-free data capture with human-like responsiveness.Cross-Platform Utility: While OWN is voice-native, the ecosystem includes a comprehensive desktop interface for deep-focus work. Users can upload files, manage their Graph, and engage in complex technical sessions when the task requires more than voice alone.

ROADMAP

  • Phase 1: Special Agent (The Orchestrator) Q2 2026

  • Market Milestone: 1,000 paying subscribers (Validation of the "Soul" tier).

  • Technical Core: Implementation of Agent Development Kit (ADK) for A2A Protocol for cross-agent task routing.

  • Phase 2: Double Agent (Professional) Q3 2026

  • Launch Beta for the NZ Real Estate sector (15k+ high-value targets).

  • Technical Core: RAG-Grounded Intelligence integrated with LINZ and REA datasets via MCP (Model Context Protocol) connectors.

  • Revenue Trigger: Add-on pricing model ($10/month) proving the "Switchboard" monetisation strategy.

  • Defensibility: Proprietary "Compliance Guardrails" ensuring 100% legal alignment for NZ property agents.

  • Phase 3: Free Agent (Trade Credit) 2027

  • Beta Launch of the OWN Liquidity Pool. This enables agents to autonomously discover specialised peers and negotiate service rates in real-time.

  • Technical Core: Transition to an Agent-to-Agent (A2A) Autonomous Economy using the Agent Payment Protocol (AP2). This allows agents to settle micro-debts for data and services without human intervention.

  • Transaction Layer: OWN Trade Credit settlement via x402-compliant Smart Contracts. This creates an immutable "Proof of Contribution" on the ledger, allowing agents to build professional reputation scores without exposing private financial data.

  • Scale Milestone: Deployed on Google Kubernetes Engine (GKE) using Agent Sandbox technology. Designed to support 100K+ parallel agent environments with an optimised "operating leverage" of sub-$0.50 per active user.

THE TEAM

Trish Fabling | Founder
Digital Specialist with 27 years delivering complex, transformative projects for global brands.
Former Executive Producer of Soul Machines, the leaders in AI digital humans, VP of DeFI start-up, Sigchain, Head of Content Design at Spark, and senior PM for Fonterra.Experimenting with the latest tools to build trusted agents that seamlessly work together to solve complex tasks.

Alan Rowarth | Technical Lead
Full-stack software engineer with 20+ years of experience in production-grade web apps and cloud infrastructure. A specialist in AI/ML integration, Alan has contributed to RLHF training for Google Gemini and Anthropic, and previously architected anti-counterfeiting systems for the Australasian export markets.
Sampath Sagiraju | Senior Dev
Python developer, with experience deploying LLMs, building RAG pipelines, and working across AI/ML automation.

ORCHESTRATED WORLD NODES

Terms of Service: This pre-MVP platform is provided for beta testing and demonstration purposes. By accessing this site, you acknowledge that OWN is under development.

[email protected]

Privacy: OWN processes voice and interaction data via Google Cloud Vertex AI. User data is encrypted at rest and in transit. We do not sell personal information to third parties.