SHORT BIO
Sina Estavi is a London-based founder and product builder working across artificial intelligence, fintech, software and digital culture. His work focuses on turning complex technology into clear, useful and accessible products.
OFFICIAL BIOGRAPHY
Build, learn and continue.
The official account of Sina Estavi’s professional journey, working method and current focus.
SE
FOUNDER / PRODUCT BUILDER
The work begins with a question: what still does not work the way it should?
Sina Estavi is a London-based founder and product builder working across artificial intelligence, fintech, software and digital culture. His focus is turning early ideas into real products: products that solve a defined problem, offer an understandable experience and prove their value in daily use.
His professional journey began in blockchain and digital assets. Bridge Oracle, founded in November 2020, formed part of that chapter and addressed the connection between external data and smart contracts. In 2025, that work evolved under the Bridge AI name, with a new public focus on AI-assisted blockchain security and trading intelligence.
Today, Bridge HQ is the product-studio and portfolio identity for a new group of products. NanoMoz offers guided AI image creation and editing; BridgeMM develops market-making operations infrastructure for digital-asset teams; and Saz No is being developed to make Telegram content operations more structured.
The audiences and use cases differ, but the principle is consistent: technology becomes meaningful when it moves beyond technical capability and becomes a useful part of how people live or work.
Sina’s working method moves from observation to capture, from an idea to a testable assumption, and from a small product to measured iteration. An idea is not the outcome. It is the beginning of a process shaped by design, data, user feedback and repeated decisions.
CURRENT FOCUS
Developing practical products through Bridge HQ — including NanoMoz, BridgeMM and work in development — alongside the direction of Bridge AI.
Observe
Start with the problem as it is, not the product we hope to sell.
Make usable
Turn technical possibility into an experience people can understand.
Prove over time
Let consistent product behaviour build the reputation.
THE PERSON BEHIND THE WORK