Multi-custodian data integration pulls account, position, transaction, and cash data from multiple custodians — Schwab, Fidelity, Pershing, Altruist, and others — and normalizes it into a single, consistent schema. The result is a unified data layer that portfolio reporting, compliance, billing, and AI systems can consume without building separate mappings for each custodian.
Why Multi-Custodian Data Integration Is Complex
Every Custodian Has Its Own Data Model
Schwab, Fidelity, and Pershing each deliver data through their own mechanisms — SFTP file transfers, direct API connections, or batch file exports — and none of them use the same schema. Account number formats differ. Security identifiers conflict (one uses CUSIP, another uses an internal ticker). Transaction codes are proprietary. Date formats vary. Even field names for the same concept — say, "settled cash" — vary across institutions.
This is not an oversight. Each custodian built its data infrastructure independently, optimized for its own internal operations. The burden of translation falls entirely on the advisory firm — or on the vendors the firm relies on.
The Problem Compounds as Firms Grow
A firm that starts on a single custodian faces no integration problem. But firms grow through advisor recruitment, acquisitions, and client referrals — each of which can introduce a new custodial relationship. The firm that started on Schwab may have added Fidelity to accommodate advisors who brought their books with them. A subsequent acquisition added Pershing accounts. Now the same firm manages client assets across three institutions, and every system that touches data — portfolio reporting, billing, compliance, CRM — needs to understand all three.
The core insight is that data integration complexity is not a custodian problem — it is an infrastructure problem. Firms that solve it at the infrastructure layer, once, free every downstream system to operate on clean, structured data without building its own translation logic.
Which Custodians Does Milemarker Connect To?
Milemarker connects to 400+ wealth management platforms, including all major RIA custodians. Pre-built connectors mean firms do not need to scope, build, or maintain custodian-specific integrations. When a custodian changes its data format or delivery mechanism, Milemarker absorbs the update — not the firm.
What Normalized Multi-Custodian Data Enables
The value of multi-custodian data integration is not the integration itself — it is what becomes possible once the data is unified. Milemarker's normalized layer serves as the foundation for every data-dependent system in the advisory firm's technology stack.
Firm-wide AUM visibility
See total assets under management across every custodian, updated daily — without manually combining data from multiple portals.
Household-level reporting
Link accounts across custodians into unified household views. A client with accounts at Schwab and Fidelity appears as one relationship, not two.
Portfolio reporting accuracy
Systems like Orion, Tamarac, and Black Diamond perform better on normalized data. Consistent field names and security identifiers eliminate reconciliation errors.
Fee billing precision
Calculate fees against actual AUM across all custodians. Eliminate end-of-quarter spreadsheet reconciliation between custodian portals and your billing system.
Compliance reporting
Run ADV, regulatory, and internal compliance reports against your full client base — not just the accounts at any single custodian.
AI-ready data foundation
AI tools require structured, consistent data to function accurately. Normalized multi-custodian data is the prerequisite for AI-powered analytics, alerts, and recommendations.
How Milemarker Handles Custodian Data Delivery
Ingestion: Meeting Custodians Where They Are
Custodians deliver data through different mechanisms, and Milemarker meets each one on its own terms. Most major custodians deliver end-of-day data via SFTP — flat files, CSVs, or fixed-width formats that reflect the previous day's positions, transactions, and cash. Others offer direct API connections for more frequent or real-time data. Milemarker ingests from both, plus aggregation platforms and portfolio accounting systems that serve as intermediaries for certain custodian relationships.
Normalization: One Schema for Everything
Once data is ingested, Milemarker maps every custodian's proprietary field structure to a single, unified schema. Account numbers are standardized. Security identifiers are reconciled to a common reference (CUSIP, ISIN, ticker). Transaction codes are mapped to a consistent taxonomy. Dates are normalized. The result is a structured data layer where a position at Schwab and a position at Pershing are represented identically — ready for any downstream system to consume without additional transformation.
Deployment: Days to Weeks, Not Months
Because Milemarker's custodian connectors are pre-built and maintained, implementation time is measured in days to weeks rather than months. The main variable is custodian credentialing — the process of establishing data-sharing authorization on the custodian's side. Once credentials are in place, data flows into the normalized layer and is immediately available to connected systems. No custom engineering. No multi-month scoping projects. No firm-specific integration development.
Overlay Architecture: No Rip and Replace
Milemarker functions as an infrastructure overlay. Your existing custodian relationships, portfolio reporting tools, CRM, and billing systems continue operating exactly as they do today. Milemarker sits between the custodians and your stack, normalizing data before it reaches your tools — eliminating the translation burden from every system downstream. Adding a new custodian means adding one connector at the infrastructure layer, not rebuilding integrations across your entire stack.