One misread field, and
the whole model is wrong.
Structured credit doesn’t forgive guesswork. Risk creeps in quietly. Portfolio managers, analysts, and administrators end up double-checking what the system should have gotten right. Most tech partners need months just to learn what a cash waterfall is. You pay for their education instead of your outcome. We’ve spent twenty years here in this space, so we don’t need to be taught the business.
THE PROBLEM
The cost of systems that haven’t kept up.
Growth that depends
on headcount
More deals, more volume, more people needing the same numbers. Without systems that scale, the only lever left is hiring, and that’s not a strategy, it’s a workaround.
AI that can’t get off the ground
Every firm is under pressure to do something with it. Most stall at the same wall: historical data too messy, too inconsistent or too bespoke to train anything reliable on. The technology isn’t the hard part. The data underneath it is.
Data that nobody fully trusts
Every new deal format is another exception. Collateral gets verified twice. Covenants are tracked in a spreadsheet beside the system. Numbers get checked before anyone signs off, because nobody is sure the system got them right.
Reporting that eats the week
Remittance, surveillance and investor reporting are assembled by hand from spreadsheets, because the platform can’t produce them without someone in the middle.
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Investor Reporting
Accurate, timely, auditable reporting built for the scrutiny of institutional investors.
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Loan Management
End-to-end systems for origination, servicing, and portfolio oversight across complex credit structures.
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Deal & Client Management
Tooling that supports the full deal lifecycle – from origination through close and ongoing management.
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Cash Administration
Waterfall calculations, distribution processing, and reconciliation systems that eliminate manual error.
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Regulatory Compliance
Systems built with compliance baked in, not bolted on, so audits are evidence-gathering exercises, not ordeals.
HOW YOU BENEFIT
What changes when the system catches up.
Growth without the headcount curve.
Systems built to scale with volume, so the next product line doesn’t mean the next hiring round.
AI that actually ships.
Data clean enough to train on, and the judgement to put AI where it pays back: document ingestion, reconciliation, surveillance.
Data everyone signs off on.
One auditable source of truth, so no deal needs a manual exception.
Reporting that keeps pace.
Real-time extraction closes the gap between what the system shows and what’s actually true.
Work we’re proud to talk about.
Data Engineering · debt Fund · Capital Markets
Monetising complex data into a strategic opportunity.
The challenge
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A trustee and vendor in the capital markets space
were sitting on a rich dataset they couldn’t monetise – locked in legacy infrastructure, fragmented across systems, with no way to share or commercialise it.
What we built
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We built a cloud-native data lake with the pipelines to clean, structure, and distribute the data – transforming a cost centre into a revenue-generating data product.
The result
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New datasets that once took weeks to onboard
now take days, cutting the client’s reliance on IT
and shortening the whole analytics cycle.
Built for the scrutiny of
institutional clients.
achieved in 2017
achieved in 2018
100% successful
