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V-Sum

V-Sum Three

Tuesday, January 19, 2021

Supported by Shopify , The Kauffman Foundation and Levvel

Technical Briefings

Triple Blind Technical Briefing thumbnail
Triple Blind profile

Riddhiman Das

TripleBlind demos a cryptographic platform for privacy-preserving data and algorithm exchange — an alternative to the status-quo model of decrypting and replicating third-party data (the Capital One / Experian problem). TripleBlind\'s novel one-way encryption is homomorphic-like but roughly a trillion times faster than full homomorphic encryption, and it works across text, voice, video, and images. The data can only be used for the purpose explicitly authorized, and algorithms themselves can also be encrypted — protecting IP and training data from reverse-engineering. The live demo uses Kaggle\'s customer-transaction-prediction dataset split across three mock organizations (Standard Chartered, JPMorgan Chase, BNP Paribas) running in three different browsers. Privacy-preserving EDA lets a data scientist see shape, distribution, and plots without seeing individual records. A feed-forward neural network (dense + ReLU layers) is trained across all three parties — each granting cryptographic consent with a justification — and produces a privacy-preserving PyTorch object that can be used for local inference or secure multi-party compute predictions (both algorithm and data stay hidden from each other). Training runs in minutes where FHE would take weeks, and the code is drop-in compatible with PyTorch, Pandas, TensorFlow, and XGBoost — GDPR, CCPA, and FDIC compliant.

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Transparent Financial Systems Technical Briefing thumbnail
Transparent Financial Systems profile

Jeff Kramer

Jeff Kramer, CTO of Transparent Financial Systems, demos Zand — a community-based B2B platform for real-time value transfers running 24/7/365. Zand networks are designed by and for their transactional community: forex and crypto OTC desks, networks of community and regional banks, and more. There is no central issuer, no new currency, no intermediaries — just programmable digital dollars under the community\'s control. Banks do not install new software; Zand only requires three APIs (balance check, transaction history, book transfer), and banks still choose who to bank. The live demo runs against two beta banks through both a wallet UI and Swagger docs: a creation request mints new digital dollars in two steps (request with a nonce, followed by the reserve transfer) — funds remain at the participating bank but move into the shared network reserve. A $10,000 peer-to-peer payment between wallets completes instantly on the Zand ledger with no bank API called; wallet IDs are publicly shareable without granting access. Finally, $1,000 and $100 redemptions destroy the claims and push underlying funds back to the member\'s chosen bank. Jeff positions Zand as a bank-agnostic dollar settlement rail for regional/community banks, a more equitable real-time payment system, and a BSA-compliant digital-dollar platform for fintechs and crypto businesses.

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Digital Asset Holdings Technical Briefing thumbnail
Digital Asset Holdings profile

Eric Saraniecki

Eric Sarnecki, co-founder of Digital Asset, demos DAML — Digital Asset\'s framework for building networks of systems of record. The pitch: the world already runs on distributed ledgers, but the consensus algorithm is reconciliation — expensive, slow, and the reason payments are slow, margin is expensive, and capital requirements are astronomical. DAML replaces this by putting authorization directly on the data, enabling privacy-preserving data integrity across organizations. Customers are using DAML to rebuild equity settlement (eliminating margining), re-architect repo markets, and tokenize new asset classes (peer-to-peer sports betting, securitized factoring receivables). The demo showcases Digital Asset\'s open-source "market in a box" — a 30-minute-deployable marketplace with investors, custodians, and an exchange running on Project Daimler (Digital Asset\'s devops-free cloud runtime) and integrated with partner Xberry\'s high-performance matching engine. A sample Bitcoin/Tesla trading pair shows DAML\'s ability to create, list, and settle any pair on the fly, with a live view of per-party database state, UUID-based privacy-preserving onboarding, and data-layer authorization that blocks wrong-party API calls at the ledger itself.

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Sponsors

V-Sum Three was made possible by Shopify , The Kauffman Foundation and Levvel