iQuant is, and always will be, a technology-first platform business, one golden-source dataset that produces every regulatory output, built from common components rather than run as separate compliance exercises.
But the longer we sit alongside investment managers, the clearer one thing becomes: the software is necessary, and rarely sufficient on its own. What moves the needle is the layer around it, managed operations, and more than that, consultancy on the workflows, the processes, and the pace of regulatory change.
In practice 99% of our conversations are with established firms that already have a regulatory reporting process in place. Some are small and still run manual, spreadsheet-based outputs; others use a competitor. But either way, the output itself is tech-driven and a tech-driven output is a commodity. If you can get the same commodity cheaper, then cheaper wins. Which is exactly the point: the value was never in the output. It’s in everything around it.
Where the real pain actually sits
It’s a pattern that shows up across the industry, year after year: every data quality project starts life as a downstream problem such as a late EMT, a KID that won’t reconcile, a factsheet needing rework. The output is where the pain becomes visible, so the output is where everyone looks for the fix.
The assumption followed that a new reporting vendor would make the delays disappear. It rarely did, because the pain didn’t originate at the output. It sat upstream, at the source-data level: maintenance, accuracy, governance, long before anything reached a reporting engine. Swap the output vendor and leave that untouched, and you’ve moved the bottleneck, not removed it.
iQuant works both ends. It sources from third parties and the manager’s own systems and teams, adds validation and governance where it’s needed, then produces the output. Fixing the output without fixing the workflow is treating the symptom.
The “we’ve always done it this way” trap
Almost every manager describes the same thing: complexity in their set-up. Some is structural such as the range of products, the mix of asset classes, the jurisdictions they distribute into. That complexity is a fact of the business.
But a large share isn’t structural at all. It’s inherited workflows that accreted over years, that no one designed on purpose, that persist because that’s how it has always been done. Manual steps bridging a gap between two systems that both changed long ago. Spreadsheets that became load-bearing. Sign-off chains built around a person, not a process. Data re-keyed and re-checked at three points because no one trusts the point before.
None of it shows up as a line item. It shows up as time, as key-person risk, and as the fragility that turns every deadline into a fire drill.
Take one example. A manager running three jurisdictional teams, each doing their own calculations, each using a different methodology and all expecting the same outcome. It had always been structured that way, so no one questioned it. Our analysis and input led them to consolidate the methodology across their outputs: one consistent, accurate approach, in place of three that quietly disagreed.
Managed operations- but never a black box
The first layer around the platform is managed operations: running the production, validation and dissemination so the manager’s team isn’t carrying the load themselves.
But managed doesn’t mean opaque. Clients have direct access to the same platform, they can interact with their data, see how outputs are built, and work in it themselves wherever they choose. It isn’t a black box you hand your data to and hope for the best. It’s a partnership, powered by three things working together: purpose-built technology, experienced and knowledgeable people, and the client.
Our direction of travel reinforces it. As we build more SaaS functionality and automation into the software, the routine production increasingly takes care of itself, so our team spends more time with clients, not less: understanding their business, consulting on it, helping them become more efficient. The better the technology gets, the more human the relationship becomes.
Bringing it together
Regulatory change is the forcing function. CCI, the shifting PRIIPs and UCITS landscape, Solvency II, SFDR – each new obligation is a moment to either bolt on another manual process or take the chance to simplify. The right partner turns a deadline into an opportunity to strip out inherited complexity rather than add to it.
The iQuant platform gives you one captured golden-source dataset and every output built from it. The managed operations run it properly. The consultancy makes sure the workflow feeding it is one you’d actually design today and not one you inherited and never questioned.
That’s the whole story. The platform is where it starts.
So here’s the invitation. We can show you the software. We can show you the output. But if you want to talk about our experience and insight – the part that actually moves the needle, let’s have a conversation
