oracynthelio
Back in 2019, I was sitting in a cramped office in Melbourne, watching investment professionals struggle with fragmented data sources and outdated analysis tools. They'd spend hours compiling information that should have taken minutes. That frustration became the seed for what oracynthelio is today.
We're not trying to revolutionize finance or disrupt anything. We just wanted to build something that actually helps analysts and investment professionals do their jobs better. No fancy promises, just practical tools grounded in what real people told us they needed.
Started with three analysts and a lot of spreadsheets — now serving professionals across Australia
The financial analysis space in Australia felt stuck when we started. Most platforms were either too complex for daily use or too simplified to provide real value. We spent most of 2020 just talking to analysts — coffee meetings, office visits, late-night emails. What did they actually need?
Turns out, people wanted depth without drowning in data. They needed context, not just numbers. And they wanted tools that fit into their existing workflows rather than forcing them to learn entirely new systems.
By early 2021, we had our first working prototype. It wasn't pretty, but it solved real problems. The first ten professionals who tested it gave us brutally honest feedback — which was exactly what we needed. We rebuilt core features three times before launching properly in mid-2022.
We've seen too many platforms rush data updates and get things wrong. Our analysts double-check sources, verify numbers, and flag uncertainties. It means our updates might take an extra hour sometimes, but you can trust what you're seeing. When you're making investment decisions, that extra verification time is worth it.
Every quarter we run feedback sessions with current users. Not surveys — actual conversations where we listen to what's working and what isn't. Some of our best features came from analysts saying "I wish I could just..." during these chats. We launched our sector comparison tool in 2024 because six different people mentioned needing it within the same month.
We document how we calculate everything. Our analysis methodologies are available to all users, not hidden behind vague "proprietary algorithms" language. If you disagree with our approach, we want to know why. Some of our methodology updates have come from users pointing out better ways to handle specific scenarios.
Lead Research Analyst
Callum joined us in 2021 after spending years at a traditional investment firm in Sydney. He got tired of working with tools that felt like they were built in 2005, so when he heard what we were building, he reached out.
He oversees our research methodology and quality control. Before we publish any analysis framework, Callum tests it against historical data to make sure it actually holds up. He's the one who insisted we add uncertainty indicators to our projections — a feature that's become one of our most valued.
Outside work, he's into trail running and collects vintage financial reports. Yes, really. He once found a 1987 market analysis document at a garage sale and spent three hours explaining why it was fascinating.
We're not trying to predict the future or promise perfect insights. Financial markets are complex, and anyone claiming certainty is probably overselling. What we can offer is thorough research, clear methodology, and tools that help you make more informed decisions.
Numbers without context are just numbers. We provide background, comparisons, and historical perspective so you understand what you're looking at.
Every analysis has constraints. We're upfront about data quality issues, small sample sizes, or situations where traditional models might not apply.
Markets change. We update our databases daily and refresh our analysis frameworks quarterly based on new research and user feedback.