LUME — Internal Brief (for VC pitch generation)

LUME — Internal Brief (for VC pitch generation)

This brief is the source-of-truth the deck generator reads. It is INTERNAL. Architecture detail is fair game here. The public-content secret-sauce rule does NOT apply to this file or any deck generated from it.

What LUME is

LUME is a real-time body-driven audio + visual install engine. A song plays. A body moves. The room watches both. When the rhythm catches the body and the body locks in, the wall remembers it. The room becomes a partner.

It runs as a self-contained piece of hardware that goes in venues: bars, lounges, galleries, retail spaces, brand-experience rooms. The body becomes the instrument. The visuals reward the alignment. People stop scrolling. They start watching themselves.

The technical edge

• Multi-modal real-time engine: 21 Unity components, audio FFT + body tracking + depth reproject + optical flow + GPU compute pipeline, all running together at 60Hz on a small mini-PC.
• Original wire-format suite (LUME / LUMD / LUMF / LUMM) over UDP. Each surface (audio, depth, mocopi motion, point clouds) has its own protocol, version-stable, reusable across publishers.
• Computational choreography score: a real-time metric of body-music alignment that drives visuals back into the loop. Patentable territory; nobody else has shipped a scored body-music install engine.
• Editor-grade tooling: F2 choreography panel, F12 calibration panel, one-click scene auto-wire. Operators can install + tune in a venue in <2 hours.
• Hardware-software co-design: K11 mini-PC + Orbbec Femto Mega depth camera + dual Arducam IMX586 RGB cameras + 1920x440 IPS bar display + custom 3D-printed shell (31 parts, 7 plates, ASA filament, Elegoo Max).
• 73-test pytest suite + Wave 1-9 architecture lineage. Production-grade, not demo-grade.

What's shipped (as of 2026-05-02)

• Wave 1-8 complete: audio reactor, depth reproject, optical flow, VFX bridge, fluid sim hooks, F2 choreography panel, motion-OSC bridge, computational choreography scorer
• 21 Unity components live and integrated
• K11 mini-PC online, three packet streams green
• 73 fast pytest tests passing, byte-level wire-format regression
• Hardware: K11 + Orbbec Femto Mega + dual Arducam IMX586 + 1920x440 IPS bar display defined for the current shell
• Software: full Wave 8 stack on Mac1 main, ready for first reel record
• 3D print queue: 31 parts, 7 plates, ~50 hours total, ASA matte white + signal orange palettes

Cultural / brand layer (the unexpected stack)

• Mohamed: Calvin Klein model + multi-year N'Ko AI infrastructure work (ASR for Bambara, sigil composer, learning apps) + audit consultancy (Grand Diomande agency, Claude Partner Network certified).
• LUME wordmark uses N'Ko script. The bar shell carries a writing system most of the deck audience hasn't seen. That's intentional. Heritage isn't a feature; it's the spine.
• Wave 9+ roadmap includes motion-driven N'Ko inscription on the bar display: the body literally writes a 1949-designed West African writing system on the wall in real time. Cognitive infrastructure meets commercial install.
• Cross-pollination: the modeling audience drives discovery into the engine; the engine gives the audit business compounding portfolio proof.

Market & first buyers

• Direct buyers: bars, lounges, galleries, retail brand spaces, experiential-marketing agencies. Every venue with a screen-shaped wall and a Saturday-night closing problem.
• Adjacent: museums, art installs, brand-activation pop-ups, live-event production companies, immersive-theater operators.
• Competitive picture: 2-3 individual artists are building toward this aesthetic, none have shipped a productized engine. Larger commercial-install brands sell static experiences, not body-driven engines.

Traction

• 30+ build-in-public videos in production (TikTok @grand.diomande, IG @diomandee, LinkedIn, Substack)
• Substack readership exists (granddiomande.substack.com, N'Ko + AI-infra posts)
• Existing modeling audience cross-pollinates discovery
• Grand Diomande consulting brand operating in parallel ($2.5K-$20K service tiers, March 2026 launch)

The ask

- Pre-seed / seed-stage funding to:
1. Ship LUME-001 (first install, currently building from Mohamed's desk)
2. Build the productization layer (multi-tenant install management, content licensing pipeline, venue-onboarding tooling)
3. Hire one hardware engineer + one Unity developer to remove the bus-factor on Mohamed
4. License a commercial mocopi-pro pipeline (body-tracking sensor partnership)
- Use of funds is concrete and itemized; not "general operations."

Why now

• Real-time body tracking has hit consumer-grade fidelity (mocopi, ARKit, etc.) for the first time
• Mini-PCs (K11-class) deliver Unity-grade GPU compute in <$1000 boxes
• Venues post-COVID need experiences, not screens with images
• N'Ko AI infrastructure (Mohamed's parallel work) hits an inflection — the cultural layer becomes a real differentiator, not an aesthetic

Why Mohamed

The intersection nobody else holds: Calvin Klein model + N'Ko AI infrastructure builder + hardware install engineer + 50-app iOS portfolio operator + Claude Partner Network certified. The combination is the moat.

Risks (be honest)

• Sales motion to venues is unproven. Mitigation: pilot install + content engine drive inbound; consulting brand provides 6-month runway buffer.
• Hardware supply chain risk on mocopi-pro fulfillment. Mitigation: iPad LUMM fallback already shipping; SKU-agnostic wire format.
• Single-operator bus factor on the engine. Mitigation: that's part of what funding solves (hire #1 priority).

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_This brief is the input to `06-generate-deck.py`. Update it as LUME evolves. The deck generator reads it verbatim, so be specific._