We're building the intelligence layer that retail teams have been missing; explainable, grounded in your own data, and designed around how the work actually gets done.
Why we started
We set out to solve one of fashion's biggest challenges: waste. We saw the mountain of unsold stock piling up and asked whether we could get to the root cause of it rather than the symptoms.
The root cause is decision-making. Product data scattered across systems, benchmarks built on memory, and forecasts built on best guesses. Fix the decisions and you reduce the waste - while making the business more profitable at the same time.
Backed by Antler and UNSW, we combined our experience in the industry with proprietary AI to build a platform that is grounded in each retailer's own catalogue and history, and explainable at every step.
How we build
Each model solves one retail decision - benchmarking a concept, forecasting a new style, allocating a buy. Not a generic model wearing a retail skin.
Built by people who've built real quantitative systems: trading algorithms, production ML, end-to-end platforms.
We add AI only where it solves a problem a rule or a spreadsheet can't - and stay out of the way everywhere else.
Our matching, forecasting and vision systems are built and maintained in-house, not licensed from a third-party API.
Our lead architect built algorithmic trading systems before he built ours.
The team
Core team
A retail expert with more than ten years deep in the industry, Nilufer lived the chaos of excess stock and manual systems firsthand. She built new verticals and scaled tech solutions first in retail, then at Uber, where precision ruled and guesswork didn't exist. She is bringing that precision back to retail.
Advisors
Careers
SeeStone is a small team building serious systems for retail. If you care about explainable AI, product craft, or the messy reality of merchandising, register your interest and we'll be in touch when the right role opens.
Expression of interest only - not an application for a live vacancy. Include a profile link and a resume / CV link.
Whether you are a retailer looking to sharpen your buying, or you just want to say hello, we would like to hear from you.
