Turning data into wisdom.

Cognostiq is a specialist advisory and venture firm focused on data, technology, and governance in financial services.

We advise Tier-1 banks, capital markets firms, and insurers on legacy technology modernisation, enterprise data architecture, alternative asset enablement, regulatory resilience, and responsible AI deployment. Our work aligns technology strategy with capital discipline, operating efficiency, and measurable commercial outcomes.

 

The Structural Challenge

Financial institutions face sustained pressure:

•High-cost legacy banking systems and fragmented data platforms

•Rising regulatory expectations and supervisory scrutiny

•Growth in private markets and alternative assets

•Competition from digital-native entrants

•Demands for greater customer insight and personalisation

•Intensified focus on cost-to-income ratios and return on technology investment

Technology spend has increased materially across the sector. Value realisation remains uneven.

Cognostiq works across CIO, CTO, CDO, CFO, and COO leadership to ensure that enterprise data and technology strategy strengthens both institutional resilience and financial performance.

 

Legacy Technology Rationalisation

Objective: lower structural cost, reduce operational risk, and improve technology ROI.

•Core banking and capital markets platform modernisation

•Data estate simplification and integration

•Cloud migration within regulated environments

•Technical debt reduction with continuity safeguards

•Vendor and platform rationalisation

 

 

Alternative Asset Infrastructure

Objective: enable growth in higher-margin asset classes without increasing operational fragility.

•Data platforms for private equity, private credit, and illiquid assets

•Portfolio transparency and performance analytics

•Scalable reporting for institutional investors

 

 

Commercial Alignment

Across engagements, we emphasise value-for-money in technology investment:

•Linking architecture decisions to cost-to-income outcomes

•Improving return on data and AI programmes

•Enhancing capital allocation discipline across transformation portfolios

•Embedding financial metrics into technology roadmaps

•Aligning CIO and CFO priorities through transparent investment cases

 

Modernisation must strengthen both the balance sheet and the technology architecture.