Nyquist
stack discovery
What do funds and banks actually work in?
Everyone quotes the same handful of vendor names. Nobody publishes what a real risk and analytics week looks like — which tool the work happens in, what it costs, where it stalls.
Institutional tooling is described by the people selling it.
We build analytics infrastructure for regulated institutions that were never the target customer for a $500K platform. To build the right thing we need the unglamorous truth: which tools, how much Excel, whose budget, which step of the month eats the most hours. Vendor case studies don’t tell us that. You do.
No honest baseline.
Vendor seat counts are public. What happens between the risk system and the committee pack is not — and that’s the part software gets wrong.
Written for the top 100.
Most published research on risk workflow samples the largest institutions. Firms under a few billion get modelled as small versions of them. They aren’t.
Published, not filed away.
One report, segment by segment, no firm identifiable: what firms your size pay, what they run, where they’re stuck. Everyone who asks for it gets it before anyone else sees it.
Funds, global banks, proprietary trading & financial infrastructure.
The invite list spans leading institutions across North America, Europe, the Gulf, and Asia: investment and commercial banks, quantitative and discretionary hedge funds, private equity and private credit firms, sovereign wealth and pension funds, insurance underwriters, broker-dealers, and corporate treasuries.
The survey dynamically adapts to each respondent’s domain: from quant researchers, MLOps engineers, and trading desks to portfolio managers, risk teams, M&A deal leads, compliance auditors, and Heads of AI. An algorithmic execution stack has nothing in common with an ALM liquidity model or an internal RAG pipeline — so each professional answers questions built specifically for their workflows.
Findings are stratified strictly by institution type, functional role, and institutional scale (AUM / balance sheet), never flattened into a single industry average. Segments with fewer than 5 institutions are suppressed or merged, so no firm can be identified in the published report.
Infrastructure, bottlenecks & workflows.
Questions dynamically tailor to your domain: quant researchers, traders, portfolio managers, risk teams, compliance auditors, and AI engineers see inquiries built strictly for their workflow. The first two — institution type and your role — are required to place your answers in the right institutional cut; everything after is skippable. Here is the full breakdown of topics up front.
01 Can I answer for only part of it?
02 We can’t disclose AUM or software spend.
03 What happens after I submit?
About fifteen questions. Four minutes.
That’s it — thank you.
Your answers are saved and they change what gets built next quarter. They count without contact details — leave an email below only if you want the report or a conversation about the product.