Visitors want depth now
They do not want to search, scan long wall text, or rent a device. They want the right story at the exact object in front of them.
Visitors scan once, lower the phone and talk naturally about the artwork in their preferred language. Answers show source context; Clio accepts interruptions, on-device operation supports privacy and weak connectivity, and explicit cloud processing enables richer real-time interaction.
Museums are full of silent context. Visitors want instant explanations in their own language, but most venues still rely on static labels, rented audio devices, or generic mobile tours. Cloud AI creates a second problem: camera data, bystanders, latency, and compliance risk.
They do not want to search, scan long wall text, or rent a device. They want the right story at the exact object in front of them.
Institutions need AI-grade interpretation without sending visual data to external services or operating expensive hardware fleets.
Mandarin, English, Italian, and other languages become a product surface, not a separate audio-guide procurement cycle.
MOSTRAmi is a mobile AI guide for museums, galleries, and cultural sites. The current Android build is focused on proving that local inference can create a useful visitor experience on real devices.
The app uses the phone camera and local model pipeline to understand the cultural object or scene the visitor is exploring.
It generates short, conversational interpretation that can adapt by language, age, curiosity level, and available time.
The product direction is privacy-first: reduce cloud dependency, protect museums from visual-data risk, and keep latency low.
Cultural tourism is a strong early wedge because the pain is visible, the use case is repeatable, and the first buyer can be either the visitor or the institution.
MOSTRAmi does not ask an institution to digitize its entire collection or operate an AI stack. We start with one exhibition, 10–20 works, and one named editorial owner.
One exhibition, 10–20 works, and one accountable editor.
A bounded visitor experience that can be tested quickly.
Catalogues, labels, rights-cleared images/audio, maps, and existing translations.
A versioned Museum Pack with traceable sources and rights records.
Audiences, languages, tone, sensitive claims, pronunciation, and accessibility needs.
Clio adapts voice, depth, language, and interpretive boundaries.
Approval of works, routes, translations, citations, disputed attributions, and hard limits.
Museum-grounded answers with visible provenance.
A walkthrough under real lighting, connectivity, visitor flow, and photography rules.
Artwork/label scan, Clio Live Q&A, zoom/tap/circle detail exploration, and local/offline fallback testing.
Editorial sign-off, QR/direct-link placement, and launch timing.
Routes, partner-supplied maps, Scholar Dossier, visit Diary/recap, and pack distribution.
Periodic editorial review and content updates.
Versioning, aggregate anonymous analytics, and new exhibition, critic, accessibility, language/culture, or education packs.
The museum decides what is authoritative. MOSTRAmi makes it conversational.
The return is cultural reach, a deeper visitor relationship, editorial control, operational leverage, privacy-safe learning, and new distribution and revenue options.
Feature evidenceMultilingual narration, natural voice, readable transcripts, accessibility routes, simplified language, and offline/on-device support.
ResultThe same exhibition becomes useful to more visitors without commissioning a separate guide for every segment.
Feature evidenceScan, Clio Live, free-form questions, image details, routes/maps, Diary, and Scholar Dossier.
ResultThe visitor moves from passive playback to active, memorable exploration.
Feature evidenceMuseum Packs, approved sources, citations, claim limits, review status, signatures/versioning, and visible provenance.
ResultAI interpretation stays accountable to the institution instead of becoming generic model output.
Feature evidenceReuse catalogues and labels; structure, translate, adapt, update, and version once across multiple visitor formats.
ResultOne approved source layer supports many experiences instead of another one-off audio guide.
Feature evidenceAggregate scan success, dwell-time bands, most-explored works, route completion, and language demand.
ResultBetter content and visitor-service decisions without collecting raw photos, faces, private chats, precise indoor location, or individual profiles.
Feature evidencePremium museum/exhibition packs, temporary passes, city bundles, school/education packs, critic/accessibility packs, marketplace, and future partner SDK.
ResultApproved cultural content can keep creating value before, during, and after the physical visit.
The museum does not give up its voice. It multiplies it.
MOSTRAmi is not a slide-only idea. It is a private Android beta being tested across devices because local AI performance depends heavily on phone hardware, thermals, memory, and battery behavior.
A private group receives major APK builds and reports behavior across different Android devices, especially where local execution stresses the hardware.
The August 14 source candidate is v0.8.0 (21). Android tests and the R8 YC build pass, alongside Functions 8/8, token Worker 7/7 and mostrapack 9/9. The new artifact is unsigned and not distributed; signing, cloud canary and exact-device smoke testing remain explicit gates.
On July 26, founder Fabrizio Degni and Japanese artist Shoko Okumura agreed to scope a proof of concept for a future exhibition. Scope, venue, dates, budget and commercial terms are not finalized, so it is not counted as a pilot, customer, partnership or revenue.
Risk: local AI can be slow on weak phones. Response: test across real hardware, make model choices device-aware, and keep a cloud fallback optional only where needed.
Risk: institutions move slowly. Response: use B2C tourist adoption and small exhibition pilots before negotiating larger venue contracts.
Risk: technical breadth can hide weak user evidence. Response: freeze expansion, run real museum sessions, measure second-scan behavior and test willingness to pay before iOS, WeChat, marketplace liquidity or new model integrations.
Sign and test 0.8.0, canary the Gemini 3.6 grounded backend, verify local speech/model integrity and record an unedited exact-build demo.
Run at least 30 real-context sessions; measure first and second scan, voice reliability, repeat-use intent and one concrete willingness-to-pay offer.
Expand the device matrix, publish the measured beta report, secure one written design-partner scope and complete a production source broker plus one museum pack.
Run one defined exhibition PoC, test a commercial offer, then decide whether evidence supports an open beta or limited public Android release.
MOSTRAmi needs the YC push on focus, speed, pricing, pilots, founder network, and investor readiness. The goal is to move from private Beta 1 to paid evidence quickly enough that the company is judged by usage and revenue, not by polish alone.