Turn fractured data into decision‑ready intelligence.
Most client data is fragmented across systems, stale the moment it lands, and impossible to act on. Cashmere weaves it into a single, living fabric that provides more information and allows you to act on each opportunity in real time.
Cashmere resolves fragmented records from every system into a single semantic layer — one identity, one golden profile, the connective tissue your data never had.
It reads and synthesizes across disconnected systems at scale, surfacing the patterns and insights no team could assemble on its own.
Co-built around how your institution actually operates, Cashmere routes the right signal to the right team — so every opportunity is acted on in real time.
Cashmere doesn't just match records — it learns what your institution is made of. The entities you work with, how they relate, and the actions you take between them become a shared semantic layer, so disconnected systems finally speak one language.
Fuse internal customer data with external signals and synthesize them into genuine, decision-ready insight.
Explore the platformEvery layer of the work — resolved, enriched, and ready to act on — in one system built for financial services.
Each layer builds on the one beneath it. Cashmere establishes the bedrock — then carries data all the way up to proprietary insight.
Your firm's own models, scored against every profile — the edge competitors can't buy off the shelf.
Net worth, propensity, life events and relationships — reasoned from raw signals into decisions you can act on.
Internal records fused with external signals into a full, multi-dimensional picture of each person and entity.
Accurate, consistent, up-to-date contact details and unique identifiers across all systems. Without clean, deduplicated records, everything above collapses. This is where most enterprises still struggle — and where Cashmere lays the bedrock.
The intelligence layer and how to build it.
Learn moreA framework for turning fragmented records into reliable customer intelligence.
How entity resolution transforms fragmented records into reliable sources of truth.
How domain expertise becomes scalable intelligence through derived-insight models.