Blab AI
Myseum.AI and Scanon.ai Sign Letter of Intent to Integrate Privacy-First AI into Picture Party Platform
On June 16 2026, Myseum.AI, Inc. (NASDAQ: MYSE), a company that builds privacy‑centric artificial‑intelligence tools for social media, revealed that it has signed a non‑binding Letter of Intent (LOI) with Scanon.ai Systems, Inc. The agreement signals a partnership aimed at embedding Scanon’s privacy‑first computer‑vision technology directly into Myseum’s flagship Picture Party app.
The LOI lays out a framework for joint development, including a reciprocal revenue‑sharing arrangement for any technology that the two companies co‑create. It also grants Myseum a seat in Scanon’s forthcoming financing round. Together, the firms plan to combine Scanon’s expertise in visual privacy and content analysis with Myseum’s product platforms, creating new privacy‑first AI tools that enhance social‑media experiences.
Picture Party is a patented instant social‑networking app that lets users craft curated albums, build encrypted galleries with controlled access, and organize collections within a broader digital ecosystem. The app is currently available on iOS and Android, with a desktop version slated for release later in 2026. Scanon.ai, meanwhile, specializes in computer‑vision infrastructure that automatically detects and redacts personally identifiable information (PII)—such as faces, license plates, and sensitive documents—from images and video.
According to the press release, the collaboration will focus on three main integration features:
1. Content moderation – AI‑driven detection and flagging of inappropriate or policy‑violating media. The moderation pipeline will operate on photos at the point of upload, before Picture Party encrypts and stores the content. 2. PII detection and redaction – Scanon’s facial, license‑plate, and document‑detection capabilities will be exposed through an integration interface, allowing Picture Party to automatically blur or obscure sensitive data. 3. Content organization – Automated scene‑and‑object classification will enable smart‑album creation by category (e.g., sports, ceremony, group photo). An opt‑in face‑grouping feature will let guests locate photos of themselves within a single event, with face embeddings scoped to that event and not shared across parties.
Both companies underscore a shared commitment to privacy. Myseum’s CEO, Darin Myman, said the partnership would “build features specifically designed for and integrated into Picture Party, such as zero‑retention processing, privacy‑preserving processing, metadata stripping and format support.” Scanon’s CEO, Axel Rives, added that Picture Party’s privacy‑first design makes it a natural fit for Scanon’s technology.
The partnership reflects a broader industry trend toward automated privacy protection in user‑generated content. Manual blurring of faces or license plates is time‑consuming and inconsistent; automated redaction can reduce the risk of accidental exposure while preserving user experience. By integrating these capabilities directly into the upload workflow, Picture Party can offer end‑to‑end privacy protection without requiring users to perform extra steps.
The LOI is non‑binding, and the parties have not yet disclosed a timeline for product integration or a detailed revenue‑sharing model. Nevertheless, the announcement signals that both companies are preparing to address regulatory and consumer demands for stronger privacy safeguards in social‑media platforms.
Myseum’s existing user base and Scanon’s technical stack position the partnership to deliver a privacy‑first photo‑sharing experience that could set a new standard for secure digital media. The collaboration may also open doors for future joint ventures or licensing agreements, depending on the outcome of the development work.
In the coming months, the two firms are expected to finalize the terms of the partnership, develop the integration features, and test the combined solution within Picture Party’s beta community. The outcome will determine whether the joint technology can be rolled out to the broader user base and whether it will influence other privacy‑focused social‑media products.
The announcement comes at a time when regulators and consumers are increasingly scrutinizing how platforms handle PII and content moderation. While the LOI does not commit to any regulatory compliance beyond privacy‑first design, it suggests that Myseum and Scanon are positioning themselves to meet evolving expectations for data protection and content safety.
Overall, the partnership represents a concrete step toward embedding privacy‑preserving AI into mainstream social‑media tools. The next phase will involve technical integration, user testing, and potentially a revenue‑sharing model that aligns the interests of both companies as they move toward a commercial launch.
The LOI lays out a framework for joint development, including a reciprocal revenue‑sharing arrangement for any technology that the two companies co‑create. It also grants Myseum a seat in Scanon’s forthcoming financing round. Together, the firms plan to combine Scanon’s expertise in visual privacy and content analysis with Myseum’s product platforms, creating new privacy‑first AI tools that enhance social‑media experiences.
Picture Party is a patented instant social‑networking app that lets users craft curated albums, build encrypted galleries with controlled access, and organize collections within a broader digital ecosystem. The app is currently available on iOS and Android, with a desktop version slated for release later in 2026. Scanon.ai, meanwhile, specializes in computer‑vision infrastructure that automatically detects and redacts personally identifiable information (PII)—such as faces, license plates, and sensitive documents—from images and video.
According to the press release, the collaboration will focus on three main integration features:
1. Content moderation – AI‑driven detection and flagging of inappropriate or policy‑violating media. The moderation pipeline will operate on photos at the point of upload, before Picture Party encrypts and stores the content. 2. PII detection and redaction – Scanon’s facial, license‑plate, and document‑detection capabilities will be exposed through an integration interface, allowing Picture Party to automatically blur or obscure sensitive data. 3. Content organization – Automated scene‑and‑object classification will enable smart‑album creation by category (e.g., sports, ceremony, group photo). An opt‑in face‑grouping feature will let guests locate photos of themselves within a single event, with face embeddings scoped to that event and not shared across parties.
Both companies underscore a shared commitment to privacy. Myseum’s CEO, Darin Myman, said the partnership would “build features specifically designed for and integrated into Picture Party, such as zero‑retention processing, privacy‑preserving processing, metadata stripping and format support.” Scanon’s CEO, Axel Rives, added that Picture Party’s privacy‑first design makes it a natural fit for Scanon’s technology.
The partnership reflects a broader industry trend toward automated privacy protection in user‑generated content. Manual blurring of faces or license plates is time‑consuming and inconsistent; automated redaction can reduce the risk of accidental exposure while preserving user experience. By integrating these capabilities directly into the upload workflow, Picture Party can offer end‑to‑end privacy protection without requiring users to perform extra steps.
The LOI is non‑binding, and the parties have not yet disclosed a timeline for product integration or a detailed revenue‑sharing model. Nevertheless, the announcement signals that both companies are preparing to address regulatory and consumer demands for stronger privacy safeguards in social‑media platforms.
Myseum’s existing user base and Scanon’s technical stack position the partnership to deliver a privacy‑first photo‑sharing experience that could set a new standard for secure digital media. The collaboration may also open doors for future joint ventures or licensing agreements, depending on the outcome of the development work.
In the coming months, the two firms are expected to finalize the terms of the partnership, develop the integration features, and test the combined solution within Picture Party’s beta community. The outcome will determine whether the joint technology can be rolled out to the broader user base and whether it will influence other privacy‑focused social‑media products.
The announcement comes at a time when regulators and consumers are increasingly scrutinizing how platforms handle PII and content moderation. While the LOI does not commit to any regulatory compliance beyond privacy‑first design, it suggests that Myseum and Scanon are positioning themselves to meet evolving expectations for data protection and content safety.
Overall, the partnership represents a concrete step toward embedding privacy‑preserving AI into mainstream social‑media tools. The next phase will involve technical integration, user testing, and potentially a revenue‑sharing model that aligns the interests of both companies as they move toward a commercial launch.
