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    The Seon Project Planning & Grant Strategy

    Version: 0.1 (Draft) Owner: The Seon Core Team

    Overview

    This document consolidates the go-to-market plan and grant funding strategy for the Seon. It complements the project vision in Whitepaper.md and competitive insights in Project/Market Research.md.

    Guiding Principles

    • Ambient, ear-first interactions; no consumer smartphone application. The smartphone is not the primary interface.
    • Admin dashboard exists solely for pilot operations, analysis, and controls.
    • Privacy by design: data minimisation, on-device processing where feasible, encrypted cloud only for heavy compute.
    • Low-latency voice loop and context awareness via device mesh, not phone-centric hubs.

    Objectives (12–18 months)

    • Validate problem–solution fit for an always-on, privacy-first AI companion.
    • Complete a structured technology discovery and feasibility assessment (build‑vs‑buy, latency, privacy, and reliability constraints).
    • Build and test an MVP across 2–3 usage domains (wellbeing support, micro-assistance, and context-awareness).
    • Secure non-dilutive grant funding to achieve technical milestones and ethical compliance readiness.
    • Establish partnerships for hardware prototyping, privacy research, and pilot deployments.
    • Assemble a small interdisciplinary core team (ML/infra, full‑stack, human–computer interaction (HCI)/privacy research, embedded/firmware) and an external advisory group (clinical/wellbeing, ethics, hardware).

    Phased Roadmap

    • Phase 0: Foundations (Month 0–3)
      • Technical: architecture choices, safety/ethics framework, risk register.
      • Technology discovery: survey candidate stacks (ASR/TTS, on-device inference, LLM orchestration), run feasibility spikes, and produce a decision matrix with trade-offs and costs.
      • Research: user needs discovery, refine personas, pilot protocols.
      • Ops: grant pipeline creation, governance setup, initial letters of support.
      • Team: prioritise hiring/contracting for critical roles and onboard advisors.
      • Gating criteria: architecture option(s) shortlisted with rationale; feasibility spikes demonstrate target latency and privacy posture on representative hardware; build‑vs‑buy decisions recorded; privacy threat model v1; signed letters of support; at least two key advisors engaged; hiring plan approved and critical roles filled or contracted.
    • Phase 1: MVP v1 (Month 3–6)
      • Deliverables: ear-clip interaction prototype (mock hardware), admin dashboard app for analysis and controls, core LLM integration, ephemeral context buffer.
      • Gating criteria: live end-to-end demo, privacy threat model v1, 20 pilot users recruited.
    • Phase 2: Pilot & Iteration (Month 7–10)
      • Deliverables: memory graph v1, adaptive prompt/policy tuning, sentiment and intent inference.
      • Gating criteria: 100 daily active sessions across pilots, task success rate ≥70% for target flows.
    • Phase 3: Scale Readiness (Month 11–18)
      • Deliverables: security review, device-mesh reliability tests, data minimisation compliance pack.
      • Gating criteria: retention ≥40% at 30 days, NPS ≥25, privacy audit pass.

    Grant Strategy (Australia‑focused)

    • Targets (Australia):
      • Federal:
        • Industry Growth Program (IGP) (business.gov.au): Active pathway. Start with Advisory Services (apply anytime); grants available only after receiving an advisory report. Two grant streams: Early‑Stage Commercialisation (50k–250k) and Commercialisation & Growth (100k–5m). Focus on NRF priority areas and manufacturing capability; competitive, merit‑based.
        • CRC‑P (Cooperative Research Centres Projects)
        • ARC Linkage
        • MRFF/NHMRC (digital health/mental health)
        • Export Market Development Grants (EMDG).
      • CSIRO & National Science: CSIRO Kick‑Start, ON Prime/Accelerate, Data61 collaborations.
      • State: NSW MVP Ventures, QLD Ignite Ideas, Vic Breakthrough Victoria, SA Research/Commercialisation grants.
      • Philanthropy: Paul Ramsay Foundation, Minderoo, Lord Mayor’s Charitable Foundation; privacy/tech foundations where applicable.
      • Industry: cloud credits (AWS/Azure/GCP), hardware prototyping programs, responsible AI funds.
    • Approach:
      • Maintain a rolling grant calendar with deadlines, TRL fit, match funding needs, and eligibility.
      • Prepare a reusable application core: problem, innovation, impact, team, work packages, ethics, risk.
      • Build a partner network for letters of support: AU universities (HCI/privacy), CSIRO/Data61, clinics/wellbeing orgs, device makers.
      • Evidence: cite Whitepaper.md sections (memory, ethics, comms), and Project/Market Research.md.

    Grant Narrative Outline (Reusable)

    1. Need & beneficiaries: loneliness, cognitive load, and accessibility gaps.
    2. Innovation: always-on context with ephemeral memory and selective retention; device mesh; privacy-first.
    3. Evidence base: HCI and affective computing; graph memory; edge networking.
    4. Work plan: milestones, work packages, KPIs.
    5. Impact: wellbeing outcomes, inclusion-by-design, economic potential.
    6. Ethics & Safety: privacy guarantees, red-teaming, human-in-the-loop, data minimisation.
    7. Team & Partners: roles, advisors, letters of support.
    8. Budget & Sustainability: costs, co-funding, path to revenue.

    Indicative Budget (12–18 months)

    • Personnel: 840k–1.24m (ML/infra, full‑stack, HCI/privacy research, embedded, compliance)
    • Cloud/Compute: 160k–320k (LLM usage, privacy‑preserving infra, monitoring)
    • Hardware & Prototyping: 120k–240k (ear‑clip prototypes, sensors, testing rigs)
    • Research & Pilots: 140k–280k (participant incentives, ethics approvals, analysis)
    • Security & Compliance: 80k–180k (threat modelling, pen test, DPIA/ISO prep)
    • Legal & IP: 50k–120k (contracts, licences, trademarks, counsel)
    • Ops & Contingency: 70k–150k Total indicative: 1.46m–2.54m (seek grants to cover 40–70%; remainder via in‑kind/credits/match)

    Work Packages (WPs) & KPIs

    • WP0: Technology Discovery
      • Outputs: discovery plan, evaluation matrix (build‑vs‑buy, cost/latency/privacy), feasibility spike reports, recommended architecture baseline.
      • KPIs: latency target on reference device (e.g., <350ms E2E voice loop), on-device/private-by-default coverage %, projected monthly compute cost within budget envelope, decision record completeness.
    • WP1: Core Interaction & Safety
      • Outputs: low-latency voice loop, policy guardrails, fallback UX.
      • KPIs: <350ms perceived latency; false-positive/negative safety rates; session completion rate.
    • WP2: Memory & Personalisation
      • Outputs: ephemeral buffer, salience-based promotion, knowledge-graph memory v1.
      • KPIs: recall precision@k in pilots; reduction in redundant prompts; user-rated relevance.
    • WP3: Device Mesh & Edge Privacy
      • Outputs: mesh comms prototype (QUIC/Matter), local-first data path, audit logs.
      • KPIs: handoff success rate; offline resilience; privacy incident count = 0.
    • WP4: Wellbeing Companion Pilots
      • Outputs: study design, ethics approval, 3 pilot cohorts, outcome measures.
      • KPIs: SUS ≥75; WHO-5/PHQ-2 directional improvement; qualitative “felt supported” >70%.
    • WP5: Grant Delivery & Governance
      • Outputs: reporting cadence, risk/ethics board, dissemination plan.
      • KPIs: on-time reports; risk burndown; number of talks/papers.

    Risks & Mitigations

    • Model privacy leak risk → strict data minimisation, on-device processing, red-team tests.
    • Latency/UX degradation → edge inference, caching, graceful degradation.
    • Safety/overdependence concerns → boundaries, escalation paths, human oversight.
    • Funding timing gaps → diversify targets, prepare bridge options, stage milestones.
    • Hardware feasibility → partner with prototyping labs; de-risk with mock devices first.

    Ethics, Legal, and IP

    • Ethics: participant consent, opt-out by default for sensitive capture, transparent summaries.
    • Legal/Compliance: DPIA, ISO 27001 readiness, clinical oversight for wellbeing features. Australia‑specific: align with the Australian Privacy Principles (APPs) and OAIC Notifiable Data Breaches (NDB) scheme; for human research, obtain HREC approval in line with the NHMRC National Statement.
    • IP/Licensing: protect brand and hardware designs; prefer open standards; document data rights.

    Partnerships & Letters of Support (Initial Targets)

    Academic: AU HCI/privacy labs; affective computing groups. Industry: ear-wearable OEMs, cloud providers, privacy tooling vendors; CSIRO/Data61 collaboration opportunities. Advisory group (part‑time/retained):

    • Clinical/Wellbeing Advisor: risk boundaries, escalation protocols.
    • Ethics/AI Safety Advisor: review policies, red‑team oversight.
    • Hardware/EE Advisor: ear‑wearable feasibility and vendor evaluation.

    Engagement model and timing:

    • Month 0–1: contract advisors; engage 1–2 core engineers; HCI/privacy researcher part‑time.
    • Month 2–3: expand to full core team; kick off pilots preparation.
    • Use contractors/partners where faster, convert to FTE as funding permits.

    Next Actions

    • Build grant calendar and assign owners per opportunity.
    • Draft the reusable narrative (sections above) and a 2-page concept note.
    • Identify pilot partners and request letters of support.
    • Prepare ethics pre-review checklist for pilots.

    Grant Calendar (rolling)

    • Industry Growth Program — Advisory Services

      • Status: Open (apply anytime). Prerequisite for IGP grants.
      • Action: Submit Advisory application; target advisory report within 4–6 weeks.
      • Link: https://business.gov.au/grants-and-programs/industry-growth-program
      • Owner: [assign]
    • ASCA — Undersea Navigation Challenge (AI/autonomy relevant)

      • Status: Open; closes Mon 3 Oct 2025, 12:00 pm AEST.
      • Action: Evaluate fit; if in-scope, draft concept and team; register.
      • Link: https://www.asca.gov.au/opportunities/undersea-navigation-challenge
      • Owner: [assign]
    • CSIRO Kick‑Start (Data61 collaboration)

      • Status: Typically open year‑round.
      • Action: Identify collaborator; draft 1‑pager and budget (matched funding note).
      • Link: https://www.csiro.au/en/contact (program page link pending update)
      • Owner: [assign]
    • CSIRO ON Prime / ON Accelerate

      • Status: Cohort‑based (dates TBC).
      • Action: Monitor intake; prepare 1‑pager and team bios.
      • Link: https://www.csiro.au/en/contact (program page link pending update)
      • Owner: [assign]
    • MRFF/NHMRC (digital health/AI‑enabled topics)

      • Status: Topic‑based; intermittent rounds.
      • Action: Set alerts on GrantConnect/business.gov.au; pre‑draft ethics and clinical partner letters.
      • Links: MRFF https://www.health.gov.au/initiatives-and-programs/medical-research-future-fund | MRFF Grants Calendar https://www.health.gov.au/our-work/mrff/grant-opportunities-calendar | GrantConnect https://www.grants.gov.au/
      • Owner: [assign]

    This document is a living plan; updates should be cross-referenced in Whitepaper.md and Extended/ notes.

    Note: All monetary amounts are in AUD.