Kwanti is used to track performance across client accounts and generate branded proposals for financial advisors. Milemarker connects to it and brings portfolios, risk metrics, analytics and proposals into a data environment your firm owns and governs — not a copy that lives inside someone else's platform.
Overview.
Kwanti is used to track performance across client accounts and generate branded proposals for financial advisors. Like every system in your stack it holds a slice of the firm — client portfolios, investment models, proposals and performance metrics — under its own export limits, retention rules and terms governing what you may do with your own information. Milemarker starts with that question rather than with a pipeline. We help you establish what your Kwanti agreement permits you to extract, store and reuse, then land portfolios, risk metrics, analytics and proposals over a secure API connection into a Snowflake environment your firm owns and administers, normalized into a model that stays stable even when the systems around it change. From there Kwanti data is no longer a silo. It joins your custodial, CRM and planning data under one set of rules — row-level entitlements, PII masking and SOC 2 Type II controls you set, rather than the scope any one vendor happens to offer.
How it works.
We start by reviewing what Kwanti holds for your firm and what your agreements permit you to export, retain and reuse. Data then moves over a secure API connection — portfolios, risk metrics, analytics and proposals — and is normalized into a model your firm owns inside its own Snowflake environment. Access is governed there: row-level entitlements, PII masking and audit trails applied per user and per field. From that point Kwanti data can be combined with any other source you hold the rights to use.



