Prospecter Ventures
Technology
Relevance, at today’s information volume, is an engineering problem.
Institutions hire teams to go and find them. Everyone else reads the headlines and hopes.
What we do
Built for finance — for the people who manage money professionally, and for the people who manage their own.
Relevant market data, personalised for you.
Different scale, identical problem: far too much information, far too little of it relevant to you.
Professional
Wealth managers and multi-family offices running client portfolios across custodians. Asset managers who need position, risk and market context in one consistent view. Trading desks whose tooling was never designed to talk to the rest of the business.
Personal
And the private investor who answers to nobody else. Managing your own money doesn’t make the job smaller — it removes the analyst, the research budget and the desk you could have asked. You don’t need any of them to think institutionally about a portfolio. You do need a portfolio worth thinking carefully about.
We build technology products. Not roadmaps, not recommendations — working software that we own, run and improve.
Why finance — and why now
Every day the world produces millions of data points that move markets: filings, prints, rate decisions, supply chains, sentiment, weather. Buried in them are the few that matter to your portfolio and to nobody else’s.
That gap is the whole reason we exist. It isn’t an information problem — nearly all of it is already public. It’s a relevance problem. And relevance, at that volume, is an engineering problem.
We didn’t find this from the outside. Our CEO has spent multiple decades in finance and trading, and it is the thing she wanted for years and couldn’t buy — whether the capital being managed belongs to clients or to you. We are not a trading company. We simply know the pain first hand, and we’re building for it.
Bridging business and technology. This is where we excel
Most technology companies speak tech. Most finance companies speak markets. Very few speak both.
We’ve sat in boardrooms and server rooms — and on the other side of a trade. Our CEO has spent multiple decades in finance and trading; our CTO builds the machine-learning systems that make personalisation at this scale possible. Between them sits a product that has to get the finance right — exposure, risk, how markets actually behave — before any of the design matters.
That dual perspective decides what we build, not only how we build it. It’s also why we’re our own first user.
The personalisation layer
One market. Millions of signals. Yours are a handful.
Personalisation is not a setting on the product — it is the architecture.
It starts from what you actually hold, what you’re watching and how you carry risk, then reads the market through that lens rather than the other way round.
Not a feed everyone sees. Not a screener that only helps if you already know what to ask. A view of the market shaped around one portfolio.
And it gets sharper the more you use it, because it learns which holdings you watch and which kinds of news you actually act on.
We don’t tell you what to buy or sell. We give you the context to decide — the decision stays yours.
Depth of context
Test a thesis before the market tests it for you
Markets rhyme. Conditions that look like 2008, like 2000, like last March, have all played out before — and the record of how individual names, sectors and correlations behaved under them already exists.
You can hold a thesis up against that record. Not at the level of the index, but at the level of the position you actually own: this setup, this instrument, this exposure, and what comparable conditions have historically done to it.
Illustrative · today’s session against four comparable historical setups, aligned at the open
It’s a research instrument, not a recommendation engine. Historical conditions are not a forecast, and nothing we build tells you what to do with your money.
How we build
Product over project
Things meant to last and improve, not deliveries that end at handover. Proven technology, thoughtfully applied, with room to move later.
Personal by default
A product that shows everyone the same thing is worth nothing to anyone. Personalisation is the architecture, not a settings screen.
Context, not advice
We surface evidence, history and relevance. What to do with it is always the user’s call.
Security by design
European data standards, robust privacy controls and institutional-grade security are foundational, never add-ons.
Built for market scale
Millions of data points a day, ingested, filtered and delivered while they still matter — designed in from the first line, not retrofitted.
We run what we build
Owning the product in production is what keeps the engineering honest.
What we’re building toward
Relevance before volume
Millions of data points a day, reduced to the ones that touch what you actually hold.
Historical context on demand
Comparable market conditions held up against your own positions — at instrument level, not index level.
Decisions with evidence
Position and market data turned into something you can act on while it still matters — with the reasoning shown, not hidden.
Less gathering, more thinking
The monitoring, gathering and reporting that currently fills the day — handled, so the time goes into thinking instead.
Scale and resilience
Infrastructure that holds at market open and doesn’t need a rewrite to grow.
What’s next
We’re heads-down building. Early access opens to a small group in Q4 2026.
If you manage money for others — a wealth or asset management business, a family office, a desk — or you manage your own and recognise the problem, we’d like to hear from you before we launch rather than after.