PS27 Ventures - Investor Profile and Portfolio

Payall enables banks and other financial institutions, as well as regulated entities, to offer safe, transparent, low-cost, immediate, and inclusive cross-border payments. Payall has pioneered the first-ever multi-currency global single shared platform as a modular infrastructure that solves different problems facing originating institutions, correspondent banks, and new alternatives to correspondent banks, intermediate banks, central banks, regulators, domestic payment networks, and liquidity providers. Inspired by first-principles, Payall’s breakthrough capabilities digitize end-to-end counterparty risk management, multi-jurisdictional compliance, real-time event surveillance and intervention, dynamic transaction decisioning across multiple institutions and countries, as well as a global gateway that intelligently routes payments to last-mile partners, including domestic bank transfer networks, mobile money operators, digital wallets and cash networks reaching up to 95% of the world’s population. Payall’s technology seamlessly integrates with core bank systems and digital bank platforms or operates as “bank-in-a-box” for a complete digital presence. With Payall, banks and other financial institutions can offer cross-border product experiences their customers need, but no bank has ever offered. Payall is backed by Andreessen Horowitz Fund (A16Z), Ventura Capital, Thomson Reuters Ventures, Motivate Ventures, BAT-VC, Presidio Ventures / Sumitomo Corp, PS27 Ventures and other notable family offices and industry icons.

Company provides learning development platform that supports employee lifecycle. It offer solutions for talent development, professional coaching, and performance management. It also allows users to provide feedback and insights on workforce.

Developer of verification software to automate autonomous driving validation and training process. The platform gathers, ingests, cleans, identify & visualizes sensor data by using machine learning and computer vision technology. It optimizes the manual review process in order to minimize the redundancy of data. These data can be used in ADAS, self-driving cars, and more.