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Mirror - Interactive Atmosphere Engine

Mirror is an AI-driven atmosphere engine. It senses how a room feels — movement, light, and air — then orchestrates sound and lighting so the space becomes calmer, more focused, and alive.

mirror_port.jpg

What is Mirror?

  • Not a screen. Not a playlist. Mirror is a living instrument for rooms.
  • It reflects people and context (like a mirror) and adapts them into mood, music, and light.
  • Built from a sensing + memory + orchestration loop that learns each space over time.

How it feels

  • Your gestures ripple into subtle shifts of light and sound.
  • Colours in the room blend into chords and tones.
  • The space breathes — with tiny “alive” movements that people barely notice but always feel.

Technology that doesn’t pull you into a headset. It makes the room itself respond.


Inputs: Movement, Sound, Environment, and Time

Camera (Movement + Colour)

  • Captures gestures, flow, and synchrony through anonymous pose estimation.
  • Tracks dominant colours and their motion across sectors of the frame.
  • Movements map into intensity, tension, and density; colours add energy, calm, or agitation.

Sound Texture

  • Ambient microphones capture noise level and texture of sound in the room.
  • Sharp noises → tension; steady hum → neutral baseline.
  • Influences how Mirror balances music density and light responsiveness.

Environmental Sensors

  • CO₂, temperature, humidity, and moisture shape comfort and fatigue.
  • Stale air → gentler lighting, open sound; fresh air → brighter presence.

Temporal Context

  • Time of day and season influence atmosphere.
  • Morning: gradual build and clarity.
  • Evening: softer light, deeper tones.
  • Winter vs summer shifts colour and sound palettes.

Privacy-first defaults: no identity, only patterns. Occupancy can be inferred with low-res radar or pressure mats.


Memory Architecture

Mirror doesn’t just react. It remembers — distinguishing fleeting gestures from meaningful Episodes.

What is an Episode?

  • A bounded interval where movement/colour deviates from the baseline.
  • Stored with: feature stats, colour state, context (time, crowd size), and an embedding for similarity search.
  • Episodes cluster across days, giving the space a sense of history.

Memory Layers

  1. Short-Term (seconds) → raw poses, colour, quick gestures; continuously overwritten.
  2. Session (≈30 min) → rolling summaries to judge significance.
  3. Long-Term (hours → months) → rare, unusual Episodes form identity.
  4. Blended Atmosphere Model
    C(t) = α · short-term state + β · session deviation + γ · episode memory

How Mirror Orchestrates Atmosphere

1) Control Signals

  • Derived from movement, colour, and memory.
  • Continuous: intensity, tension, brightness, density, space.
  • Discrete scenes: Calm → Build → High → Release.

2) Sound

  • MIDI: bar-by-bar pattern generation to up to 16 channels (drums, bass, pads, leads, textures).
  • FMOD: scene-aware stems with smooth, bar-synced transitions and parameter fades.

3) Light

  • Alive Movements: imperceptible breathing/flow to avoid static “dead” light.
  • Scene logic maps to colour temperature, saturation, spread, and tempo of changes.

Result: a living soundtrack + lightscape — always in sync, always site-specific.

Alive Movements (Lighting)

Static light exhausts people. Mirror adds subtle, biophilic micro‑motions — tiny breaths and stretches in brightness/colour that keep spaces calm and present without distraction.

  • Wellbeing: less fatigue, more focus.
  • Engagement: a sense of presence and care.
  • Identity: a signature feel that sets venues apart.

Roadmap
  • Phase 1 — Pilot: Single office floor, alive lighting + FMOD soundtrack, privacy-first sensors.
  • Phase 2 — Multi-site trials: Add DALI/DMX adapters, reporting dashboards, cross-site benchmarking.
  • Phase 3 — Showcases: Retail/airport deployments; premium “signature atmosphere” packs.
  • Phase 4 — Scale: Smart-city wellbeing pilots, large venues, subscription growth.

Why Franky First

Mirror is the natural successor to Franky — but Franky comes first.

  • Franky = sound only. It is simpler, faster to pilot, and already a strong product for offices and exhibitions.
  • Mirror = sound + light. It expands the same architecture into full atmosphere orchestration, but requires more integration (lighting, sensors, multi-modal orchestration).
  • By launching Franky first, we prove the core sensing + memory engine and generate traction, while preparing the way for Mirror as the broader, premium product.

Business model

Possible Buyers

Mirror has clear markets across workplaces, retail, and public spaces:

  • Corporate offices: wellness and productivity gains (reduce fatigue, stress).
  • Coworking & flex workspaces: differentiation, premium “feel” layer.
  • Retail: atmosphere-driven shopping experience; “alive” branding.
  • Hospitality: hotels, restaurants, lounges — adaptive ambience.
  • Airports & transit hubs: passenger wellbeing, stress reduction, flow management.
  • Museums & galleries: adaptive sound+lightscapes to match exhibitions.
  • Smart homes (premium): future adoption for high-end residential.

Business model: SaaS subscription per site or per employee; premium packs for specific industries (retail, airport, hospitality).

Market Size (Wellbeing + Smart Environments)

Global Corporate Wellbeing Market

  • $60B+ (2023) and growing ~7% CAGR.
  • Includes stress reduction, wellness programs, ergonomic solutions, meditation apps.
  • Franky fits into “workplace wellbeing infrastructure.”

Smart Building / Smart Office Market

  • 80B+ (2024), projected 120B+ by 2028.
  • Includes lighting, automation, environmental monitoring.
  • Franky is a new category: adaptive AI-driven atmosphere.

Combined Entry Market

  • ~$140B global market space.
  • Franky’s realistic Serviceable Available Market (SAM):
    • Mid-to-large corporate offices in EU/US → ~$10B.

Pilot Pricing Example (Offices)

Pilot Deployment (100–200 employees, one floor, 4 weeks)

  • Hardware (sensors + lights integration): €8,000 (one-time).
  • Software license: €3,000 (per pilot).
  • Total pilot: ~€11,000.

Ongoing Subscription (post-pilot)

  • SaaS: €20–30 per employee / year.
  • Example: 500-person office = €10,000–15,000 ARR.
  • Larger enterprise sites (5,000 employees) = €100,000+ ARR.

Expansion Pricing Models

  • Retail / Malls:

    • Flat monthly subscription per site (e.g. €2,000–5,000).
    • Paid for improved customer dwell time & sales uplift.
  • Airports:

    • Large-scale contracts (€250,000+ per terminal).
    • Funded via passenger experience / brand budgets.
  • Smart Cities / Government:

    • Multi-year wellbeing infrastructure contracts.
    • Range: €500,000–5M+ depending on scale.