Confidential Document | Investor & Engineering Brief | Not for distribution | © 2026 MOSTRAmi
Investor & Engineering Brief | August 2026

The museum is not the problem. Accessing the museum is.

MOSTRAmi is an AI museum guide born on Android, built in Kotlin and Compose, powered by on-device language models and a secure proxy client. It turns a photo of an artwork into an audio explanation in the visitor's language, preserving the museum's editorial authority as its anchor of truth, and visitor choice as the sole source of consent. It is a consumer product serving as the wedge for a broader B2B cultural platform. We start in Europe because it is here that privacy, accessibility, and algorithmic transparency have already become competitive advantages rather than legal overhead.

Current v0.8.0 source line: Gemini 3.6 grounded generation, verified claim-level citations, LiteRT-LM 0.16, on-device-only private speech and attested Gemma/Piper downloads. The YC build succeeds; signing and exact-device qualification remain open.
0.8.0 (21)
Private Beta Source Candidate
Android 8+
minSdk 26 | target 36
On-device
Gemma via LiteRT-LM
Opt-in
Photos, cloud, telemetry
Thesis

We are entering an era where every physical surface becomes interactive, and museums should not remain the exception.

There is a subtle but persistent gap between what a work of art wants to say and what a visitor, standing before it, can actually grasp. The reasons are familiar to anyone who has visited an exhibition: labels are brief due to physical space limits, audio guides are generic to suit everyone, curators are rarely available, and the smartphone in the visitor's hand does many things but not yet this. Our thesis is that a personal, contextual, multilingual conversation grounded in curatorial content is no longer a luxury but a baseline expectation. The first company to deliver this in a credible, sustainable, and privacy-respecting way will establish a highly defensible position.

MOSTRAmi is built on this thesis. It does not replace the museum: it amplifies it. It does not replace curators: it translates, contextualizes, and guides, leaving decisions about authoritative content in their hands. The product is both a technological step and a positioning choice. This briefing outlines both dimensions without mixing marketing with engineering.

"The right product at the right time: smartphones are now powerful enough to run local LLMs, and Europe is ready to reward applications that treat visitor data as a fiduciary trust."
The Friction

The visitor pays, enters, and stands alone in front of the artwork.

| The Status Quo

Fragmented experience, confusing monetization, scattered data

Most cultural institutions combine static labels, single-exhibit custom apps, and rented hardware audioguides that run parallel to the visitor's smartphone. The result is a fragmented experience: three touchpoints for three different target groups, no shared memory, no relationship with the visitor after they leave the building, and no structured feedback for the curator. Conversely, generalist AI platforms offer conversational answers but lack connection to the museum's official archives, making them a source of institutional distrust.

| Our Solution

A single consumer-first layer that museums can adopt without losing authority

MOSTRAmi is designed as a neutral layer: the visitor opens it at the entrance, uses it in front of the art, and reviews it afterward. It does not require replacing existing systems, but it provides a clean point of integration: official PDF maps, curatorial texts, and dashboard logs. This neutrality serves as a B2C wedge that can transition into a high-margin B2B platform over the next two to three years.

Strategy

Enter as a consumer app, expand as a cultural infrastructure.

A common mistake for cultural startups is starting with direct museum sales. Sales cycles are long, decisions are consensus-driven, and products age while waiting for pilot programs. We chose the opposite path: build a consumer app that works for tourists, students, and families, build usage metrics, and only then approach museum administrations with real data rather than slides.

Phase 1 | Sep 2026-Jan 2027

Invite-only Android beta

Begin structured closed access only after signing, cloud canary and exact-device gates are green, then expand the cohort gradually. Goal: validate repeat use, voice and camera reliability, device compatibility, support load and cloud cost before any open beta.

Phase 2 | Feb-Sep 2027

Exhibition PoC and release decision

Complete one scoped exhibition deployment, measure visitor outcomes and test a commercial offer. Use the evidence to decide whether Android is ready for an open beta or limited public Play release.

Phase 3 | Late 2027-2028+

Measured expansion

Scale Android, museum tooling and accessibility only after retention and reliability are proven. Evaluate iOS, WeChat and AppGallery from measured demand rather than fixed launch dates.

Under the Hood

An architecture that runs offline, uses Live cloud audio when it matters, and keeps recovery paths explicit.

The app is written in Kotlin with Jetpack Compose for the UI layer, runs on Android 8+ (API 26), and aligns with the targetSdk 36 requirement for 2026 Google Play releases. The modular structure separates camera, AI, audio, navigation, billing, AR, and export systems. Every sensitive feature (camera, microphone, location, cloud API) passes through a single point of control. On-device Gemma keeps visits private and resilient; Gemini Cloud and Gemini Live are used when they add clear quality, depth, or voice-interaction value.

UI | Layer 0
Jetpack Compose, Kotlin 2.x

Single-activity, declarative navigation, Material 3 styling, accessibility-first design. Uses Compose BOM, KSP2 code generation, and Coil image loading.

AI | Layer 1
On-Device Gemma via LiteRT-LM

Gemma model served through LiteRT-LM (Google AI Edge runtime). Built-in package download and status manager accessible in both Standard and Expert profiles. Local RAM management with structured cloud routing.

Vision | Layer 2
ML Kit OCR & ARSceneView 4.x

On-device label text extraction, with optional ARSceneView Compose integrations for context overlays. Camera-level face obfuscation before any data transfer.

Cloud | Layer 3
MOSTRAmi Proxy & Firebase AI Logic

The cloud text path uses Gemini 3.6 through a structured generator, deterministic citation validation and a separate semantic/safety verifier. Gemini Live remains a dedicated native-audio path. Production deployment, quota controls and physical-device behavior remain release gates; telemetry is consent-gated.

Storage | Layer 4
Room 2.8 & DataStore

History, artwork records, user preferences, and offline maps are stored locally. Artwork photos are not saved without opt-in. Complete history export and deletion available in settings.

Monetization | Layer 5
RevenueCat & Play Billing

Freemium plan with scan quotas, premium voices, and B2B packages. Implements rate limits, purchase restoration, and subscription structures compliant with 2026 Play Store guidelines.

[ Visitor in front of the artwork ] │ ▼ ┌─ Android client (Kotlin · Compose) ────────────────────┐ │ Camera → ML Kit OCR (on-device) │ │ → Face obfuscation │ │ → Local image cache (consent-gated) │ │ │ │ AI Router ──▶ Gemma (on-device, LiteRT-LM) ◀── default │ │ ──▶ Cloud grounded pipeline / Gemini Live when selected ─┐ │ └──────────────────────────────────┼─────────────────────┘ ┌─ MOSTRAmi Proxy (EU) ───────────────┐ │ App Check (Play Integrity) │ │ Rate / cost / abuse guard │ │ PII redaction + audit log │ └─────────────────┬───────────────────┘ Firebase AI Logic (Gemini + Live API) │ ▼ Structured Response │ ▼ [ Audio narration + local history ]
Post-pilot B2B roadmap

B2B Expansion: complementary channels and group tours.

After the Android closed beta and first exhibition evidence, two optional expansion channels can lower onboarding friction for casual visitors. Messaging can turn existing chat clients into zero-barrier cultural guides; TourSync can support guides and groups. Neither channel has a fixed release date before the core beta and pilot gates close.

💬 Zero-Barrier: WhatsApp & Telegram Integration

Casual or international tourists often resist installing custom apps. Our roadmap response is the **Clio Messaging Proxy**:

  • ▸ Instant QR-Code: Scanning a QR under the painting opens a secure Clio chat session on WhatsApp or Telegram.
  • ▸ In-Chat RAG queries: The bot answers immediately by pulling notes from MOSTRAmi's RAG databases.
  • ▸ Neural Voice Notes: Clio sends voice notes to the chat client, providing an instant audio guide experience.
  • ▸ User Funnel: At the end of the visit, Clio shares a digital travel log that invites users to try the native application.
⚙️ FUTURE ROADMAP (SCAFFOLDING DEACTIVATED):
com.mostrami.ai.CompanionProxyManager

👥 TourSync: Guide & Group Protocol

Tour guides rent expensive physical radio sets for their groups. Our **Clio TourSync** feature will digitalize and optimize this interaction:

  • ▸ Real-Time Synchronization: The guide opens a shared channel (WebSockets/Firebase) and visitors tune in with their headphones.
  • ▸ Curation Broadcasting: When the guide scans or triggers an artwork description, the audio narration starts simultaneously for the group.
  • ▸ Group Style Steering: If the guide selects a "Kids" or "Senior" style, the local AI on the participants' devices matches it automatically.
  • ▸ BLE Proximity Radar: The guide views a proximity radar map on their phone to track group members using BLE RSSI values.
⚙️ FUTURE ROADMAP (SCAFFOLDING DEACTIVATED):
com.mostrami.toursync.TourSyncManager
Positioning

The moat is not just the code. It is the combination of technology, geography, and user trust.

Language models, computer vision, and text-to-speech are commodities, available to anyone paying for API calls. Defensibility lies in creating a product that earns and maintains institutional trust in the European market, where trust has a clear barrier to entry. Our competitive advantage relies on four layers: each is replicable individually, but they become highly defensible when combined.

Privacy by Default as a Product Feature

Diagnostics are deactivated until consent is given, photos are not saved without opt-in, and cloud AI queries are proxied. This is more than compliance: it is a pledge that European visitors value.

Native Edge AI, Not an Afterthought

On-device Gemma is the default. This keeps unit costs low, supports visits in historical basements without signal, and is the only setup some institutions will permit.

Compliance-Led Go-To-Market

Privacy policies, Play Data Safety forms, AI transparency documentation, and in-app account deletion options are already in place, making the app ready for EU audits under the AI Act.

Cultural Fluency

The project bridges the gap between museum administration requirements and modern Android engineering. This dual understanding is a key early-stage asset for our team.

Product Status

Where We Stand Today

This is the current product state as a technical reviewer would see it: an unsigned 0.8.0 source candidate with passing tests and build, plus the current signed v0.7.0 private-beta APK, which is the only distributable build for authorised testers and is also retained as the rollback artifact for future v0.8 qualification. The checkpoint is dated August 14 and does not claim public deployment.

0.8.0
AI Integrity source candidate | August 14, 2026
v0.8.0 (21) YC build completes with R8; artifact is unsigned and not distributed
Android unit suite: 56/56 across 14 suites; AI integrity/retrieval gates pass
Firebase Functions 8/8, token Worker 7/7 and mostrapack 9/9
Account deletion support in-app and via web
Verified claim-level citations, source chips and grounding labels visible in chat
! Signing, Gemini 3.6 cloud canary and exact-device API 31/34/36 qualification remain open
Local Gemma prompt receives contract and evidence context
Interactive artwork panel in chat: pinch, tap, points of interest, and circle-select crops
Post-scan artwork guide refined with compact icon tools and readable rich-text narration
Scholar redesigned as a structured dossier with citations, source pack and sharing
Museum packs extended into experience packages with assets and Clio opening lines
Clio Live native-audio model wired with visible runtime error and retry UI
Clio Live onboarding optimized with female guide default, no separate analysis-language setting, and cleaner audio handoff
Featured artwork widget now resolves from scan history instead of sample content
Telemetry gated strictly by consent
Google OAuth Web Client ID pending
Play Console, RevenueCat, and signed track QA pending
Broader physical device matrix QA pending

Multistore Expansion & Licensing Strategy

To address the entire European tourist demographic and enable institutional licensing contracts, the MOSTRAmi ecosystem plans native porting to all three major store platforms:

Closed Beta | after release gates
Google Play Store

Invite-only Android testing begins after the release-readiness gate. Public Play distribution remains gated by beta evidence, backend reliability, billing QA and the wider device matrix.

iOS Exploration | 2028+
Apple App Store

Native porting in Swift and SwiftUI. Aligned with Apple CoreML neural engines and LiDAR tracking in AR.

HarmonyOS Research | 2028+
Huawei AppGallery

Native ArkTS/HarmonyOS NEXT porting to engage with Chinese and Asian tourist flows visiting Europe.

WeChat Research | 2028+
WeChat Mini Program

Native Mini Program for Chinese tourists in Europe. Museum QR code opens an instant Mandarin guide with zero downloads. Full bypass of GMS blocks on Huawei and Xiaomi devices.

🚀 Business Validation Kit (June 2026)

Fully validated Business Model Canvas, Lean Plan, and 10-slide Pitch Deck with metrics, monetization strategy, and growth projections.

OPEN YC EVIDENCE & RELEASE STATUS → ⚡ OPEN SLIDE PITCH DECK →
Let's Connect

We seek long-term capital, museum partners, and engaged feedback.

This page is not a request for a term sheet. It is an opening of dialogue with investors, developers, and museum operators who want to learn about MOSTRAmi's path. If you would like to ask questions or give feedback, let's talk.

Email Fabrizio Degni →