About AimRank
AI that cuts cost and grows revenue, with the proof attached.
The Story of AimRank
2026: the promise became a standard, and in July the preference ranking system went live, open to anyone. We build custom AI for businesses to the AimRank Standard, and every build carries the Four Guarantees: Measured value, Defensible, Self-improving, Yours & everywhere. An eval gate agreed before the work starts, a per-decision trace anyone can read, drift watched after deploy with an alert the moment quality slips, and the whole system running in your own environment. All four, or we tell you plainly which one we scoped down and why.
From fair fighter rankings to assured AI for businesses. From a London flat to the AI economy. Still the same two friends (but expanding), and still the same obsession that started it all: transparent methods, defensible results. Today it runs through everything AimRank ships: AI you can measure, explain, and defend, from the first automated workflow to autonomous agents.
The bridge from thesis to practice went up. AI services (document intelligence, workflow automation, AI agents, predictive analytics) paid for it, and project by project they assembled the pieces of a preference ranking system. Each project still teaches us how to make human decisions count in the AI economy.
For years, it was our on-and-off obsession. Weekend coding sessions. Late-night discussions about "what if we applied this to everything?" The thesis gathered dust between day jobs, but the idea never left us. Every UFC event reminded us what we'd discovered: not just prediction accuracy, but fairness through mathematics. Every binary choice in daily life looked like data we should be capturing.
The answer changed everything. One algorithm, Glicko2, adapted from chess and modernized with machine learning. State-of-the-art results from the simplest possible input. Finally, fighters could be ranked by math, not favoritism.
It started with MMA fights and a master's thesis back in 2016. Two friends in a small London flat, obsessed with a simple problem: Could binary choices, just "Who wins: A or B?", create fair, transparent rankings that actually serve fighters instead of politics?
Meet Our Team
The minds behind AimRank's innovative solutions
Gediminas Sadaunykas
LinkedInCo-Founder, Data Science & AI Lead
With over a decade of experience in data science and machine learning, Gediminas combines deep technical expertise with entrepreneurial vision. He works as a data science and AI expert and lead, taking teams from a first model to a production system. His passion for both combat sports and technology led to AimRank's first ranking system, built on Glicko2 and adapted from chess.
Dalius Slamas
LinkedInCo-Founder
A passionate programmer who brings ideas to life through innovative automation, robust backend systems, and intuitive UI/UX design. With nearly a decade of experience working at large-scale companies, Dalius has mastered the art of transforming complex business challenges into elegant, automated solutions that drive real results.
Ready to put a number on it?
Book a free 30-minute intro call and we'll show you where AI can cut cost or grow revenue for your business, and how we would prove it.