About
COORD makes it easy to catalogue your entire wardrobe and discover new outfit combinations from the clothes you already own. With smart styling suggestions and a visual overview of everything in your closet, you'll reach for forgotten pieces, get more out of every item, and feel less tempted to buy something new. The result is a more intentional relationship with your clothes: better for your wallet and better for the planet. On the B2B side, COORD provides fashion retailers with unique post purchase wardrobe behavioural data, powering insight driven decision making that helps optimise margin and commercial goals.
Daniel is the co-founder and lead engineer of COORD, responsible for building the technology behind the virtual wardrobe app and its B2B data intelligence layer. With a background in electronic and aerospace engineering, Daniel brings a rigorous, systems level approach to product development, from the app's image recognition and outfit suggestion engine to the data infrastructure that powers COORD's retailer facing tools. He oversees the full technical stack across iOS, Android, and backend, turning complex engineering challenges into seamless user experiences. At COORD, Daniel is focused on building technology that makes it effortless for people to get more from the clothes they already own, while unlocking a new category of behavioural data for the fashion industry.
Sasi is the founder and CEO of COORD, a virtual wardrobe app that helps people buy less and wear more. Before starting COORD, Sasi was a strategy consultant at EY-Parthenon, where he specialised in retail M&A and commercial due diligence, giving him a deep understanding of how fashion retailers operate and where the industry's biggest inefficiencies lie. He built COORD to tackle the problem from both sides: helping consumers fall back in love with the clothes they already own, while giving retailers access to unique wardrobe behavioural data that no one else can provide. Sasi is passionate about proving that style and sustainability don't have to be a tradeoff, and that the fashion industry can make smarter decisions when it has better data.