Hong Kong is full of funds that compete every day against firms many times their size. A smaller team can’t match that headcount, and it doesn’t need to. What wins for a smaller team is the thinking: where the ideas come from, and how well it reasons through them.
Ideas, reasoning and direction.
Sources gathered and organised. Questions turned into workflows. Every answer tied to its source.
Compute. Powerful, and getting cheaper.
A billion-dollar fund can put dozens of analysts on hundreds of companies, each one reading calls, updating models and revisiting theses.
A smaller fund can own the companies a giant can’t build a position in. What it lacks is the hours to cover them. That’s the gap we close, so you can cover more of them and find more companies like them.
Most of a smaller team’s week goes to work that isn’t the edge: finding the information, pulling it together, structuring it, keeping notes and models current. We build to take that off the desk, so the hours go to idea generation and judgment. That means wider coverage, less time spent and more depth on the names that matter.
You decide what matters. The system does the legwork and shows its work.
We treat AI as compute. It’s powerful, it’s getting cheaper, and we expect it to become a commodity. What lasts is the structure around it: how information is gathered and organised, how a question becomes a repeatable workflow, and how every answer ties back to its source.
AI also needs direction. It can’t do your reasoning, and we don’t try to make it. Spreadsheets and terminals each took work off the analyst’s desk and left the judgment where it was. This is the next step in that pattern.
The real pain is fragmentation: one tool to understand a company, another to track a portfolio, another to follow the market. Most people use AI like Google to check the time, when it can do far more. We’re building one experience across the whole loop. Today the deepest part of that loop is company research. The rest is where we’re heading.
Calls, filings and management’s track record.
Valuations and saved workflows.
Your portfolio, and what changes for it.
What is moving the market.
See how each one works on the Platform page.
If a number can’t be traced, we don’t show it.
Scores are statistical measures with published methodology, never calls and never targets.
When the model isn’t sure, it flags. It never silently guesses.
The kind that comes from better analysis and better workflows, at a scale a small team couldn’t reach alone.
Join the waitlist and we’ll hold today’s price for you.