Passboards.01
The memory is already multiplayer
The best record of a trip, club, team, family, or event is distributed across the people who were there. Passboards turns those separate perspectives into one useful collection.
Investors
Shared life deserves its own network.
Passboards is building the collaborative home for the photos, videos, conversation, and context people create together. The wedge is simple—collect the whole story from every phone—but the enduring product is the private, useful network formed by groups returning to their shared history.
The next layer is multimodal intelligence: helping a group search, organize, understand, and revisit years of media using the meaning inside it—not just dates and filenames—while enforcing the same permissions as the underlying memories.
Investment thesis
02
Groups create durable networks
A board begins with a reason to invite someone. Clubs extend that collaboration across repeated experiences, conversation, and new collections over time.
03
Trust is part of the product
Private spaces, understandable membership, and respectful media handling are product fundamentals—not policy copy added after growth.
AI and accelerated computing
A private memory graph becomes a multimodal intelligence opportunity.
Passboards is pursuing NVIDIA startup and developer programs to accelerate this roadmap. Workstation-class Blackwell hardware gives a small team the memory capacity and throughput to develop, evaluate, and optimize serious vision-language and video systems close to the product before scaling them into production.
What we intend to build
- Ask your memories: permission-scoped semantic search and retrieval across photos, video, captions, people, places, and conversation.
- Curate the signal: near-duplicate detection, quality ranking, event clustering, and highlight selection across contributors.
- Understand video: efficient temporal indexing and scene-level retrieval for collections too large to inspect manually.
- Create with provenance: recaps and narratives grounded in source media, with links back to the original moments.
Why NVIDIA RTX PRO 6000 Blackwell Workstation Edition
Large-memory local GPU capacity enables higher-resolution multimodal inference, long-video experiments, adapter fine-tuning, evaluation, and TensorRT optimization without forcing private product data into an external training loop. It is a practical bridge from research prototype to a measured, production-ready inference stack.
What capital accelerates
A focused path from product love to scale.
- Product: make contributing, organizing, and returning to a shared history feel effortless.
- Team: add exceptional iOS, infrastructure, multimodal AI, and community leadership around a founder-built core.
- Growth: deepen invitation and retention loops around clubs, teams, trips, families, and events.
- Infrastructure: scale dependable media storage and delivery while preserving clear privacy boundaries.
- Accelerated intelligence: establish NVIDIA Blackwell-class development capacity for multimodal retrieval, video understanding, evaluation, and optimized inference.
Talk with the founder
Invest in a better home for shared memories.
For the current product story, roadmap, operating details, and any active financing conversation, contact Max Khan directly. Please include your firm, relevant portfolio or investment focus, typical stage and check size, and the best way to reach you.
Contact [email protected]This page is informational and is not an offer to sell or a solicitation to purchase securities.