Helping independent earners make sense of their numbers
Ivoralis builds data analysis and decision-support tools for gig economy workers and individual investors across the UK.
Why Ivoralis exists
Gig work and self-directed investing both generate a lot of data — fares, payouts, fees, trades, statements — but very little structure. Ivoralis was created to close that gap: a single place where scattered numbers become something you can actually read and act on.
We started with a simple observation: most tools built for freelancers and retail investors are either too generic to be useful or too complex to use without specialist training. We set out to build something in between — clear, data-driven, and designed around how people actually work.
What we're working toward
Our mission is to give people who earn and invest independently the same quality of information that larger institutions take for granted — without the jargon or the overhead.
Make data understandable
We turn raw figures into structured summaries, so patterns are visible without requiring a background in finance or analytics.
Support self-directed decisions
Our tools are built to inform, not to dictate. We present information clearly and leave the decisions to you.
Design for real schedules
Gig work and personal investing rarely happen on a 9-to-5 schedule, so our tools are built to be used whenever you have time.
Reliable over flashy
We favor steady, dependable analysis over trend-chasing features, so the insights you get remain consistent over time.
How we approach the work
These principles guide the decisions we make about what to build and how to build it.
Transparency
We explain how our analysis is derived, rather than presenting conclusions as a black box.
User control
You decide what data to bring in and how to use the output. We provide the structure, not the mandate.
Continuous improvement
We treat our tools as a work in progress, refining them based on how people actually use them.
A focused, practical team
Ivoralis is built by a small team with backgrounds in data analysis, software, and independent work ourselves. We use the tools we build, which keeps our priorities grounded in what's actually useful day to day.
We're intentionally structured to stay close to the product and to the people who use it, rather than scaling into something harder to maintain carefully.