A category-by-category guide to the technology powering today's advisory firms.
The WealthTech landscape has expanded from a handful of legacy systems to hundreds of specialized platforms. Advisory firms now choose from tools across data management, client relationships, portfolio management, financial planning, compliance, and AI — each category with multiple credible options.
This guide is not a rankings list. It is a category-by-category map of the leading platforms designed to help CIOs, COOs, and practice management leaders at RIAs, broker-dealers, and TAMPs make structured, informed decisions about their technology stacks.
The advisory technology market crossed $15 billion in annual spend as of 2025. Firms that approach that spend strategically — with a clear architecture, strong data infrastructure, and category-appropriate tools — outperform those that buy reactively. The goal here is to give you the map.
Each category below covers the leading platforms, their strengths, and the type of firm they serve best. The final section addresses the question that matters most when evaluating any platform: how well does it integrate with everything else in your stack?
Category 01
Data Platforms & Infrastructure
Data platforms sit beneath your other tools. They consolidate data from CRMs, custodians, portfolio systems, and planning tools into a unified warehouse — enabling analytics, compliance reporting, and AI that no individual tool can provide on its own. This is the category most firms underinvest in, and the one that produces the highest compounding return when done well.
Milemarker
Milemarker is a unified data platform purpose-built for advisory firms. It connects 130+ integrations — CRMs, custodians, portfolio management systems, financial planning tools, marketing platforms, and custom systems — into a Snowflake-native data warehouse. The platform normalizes and unifies data across all connected systems without replacing any of them. Navigator, Milemarker's AI layer powered by Anthropic Claude, delivers natural-language queries across the unified firm dataset. Built for firms that want a data foundation that makes every other tool more valuable.
Best for: firms wanting a data layer that connects and amplifies all other tools
Addepar
Addepar provides portfolio analytics and reporting with particular depth in alternative asset management. The platform manages over $7 trillion in assets under administration and serves approximately 20 percent of Barron's top 100 RIAs. Its strength is sophisticated performance attribution and multi-asset class reporting for high-net-worth and ultra-high-net-worth client portfolios. Implementation complexity and pricing target larger firms with dedicated technology teams.
Best for: firms with complex alternative asset reporting requirements
Snowflake (direct)
Snowflake is the enterprise cloud data warehouse that underpins many wealth management data platforms, including Milemarker. Firms with mature internal data engineering capabilities can build directly on Snowflake, constructing custom data models and pipelines. The tradeoff is significant build time and ongoing maintenance investment in place of pre-built wealth management connectors and data models. Best evaluated not as an alternative to a WealthTech data platform, but as the infrastructure layer beneath one.
Best for: firms with in-house data engineering teams wanting full custom control
Category 02
CRM
CRM platforms manage client relationships, interaction history, household data, and sales pipeline. In wealth management, CRM is the system of record for the advisor-client relationship — distinct from the financial data systems that track portfolios and planning. The leading CRMs differ substantially in philosophy: enterprise general-purpose tools adapted for financial services versus purpose-built advisory CRMs designed from the ground up for advisor workflows.
Salesforce Financial Services Cloud
The enterprise standard for large advisory firms, broker-dealers, and TAMPs with complex relationship hierarchies, multi-team client service models, and deep customization requirements. Salesforce Financial Services Cloud extends the Salesforce CRM platform with a financial services data model: household objects, financial accounts, goals, and referral tracking. The platform's extensibility is unmatched — custom workflows, AppExchange integrations, and API access enable firms to build practically anything on top of it. The tradeoff is cost (license and implementation) and administrative overhead that smaller firms cannot justify.
Best for: large firms with complex sales processes and dedicated Salesforce admins
Redtail CRM
The most widely deployed CRM in independent financial advice, Redtail is purpose-built for the advisor workflow. It handles client and household records, activity tracking, task management, seminar management, and compliance-oriented contact notes with less configuration overhead than enterprise platforms. Redtail's integration library covers most advisor technology vendors, and its pricing is accessible for solo advisors and small teams. Functionality depth is narrower than Salesforce, but for advisors who want a tool that works out of the box without a consultant, Redtail is the default choice.
Best for: independent advisors and small-to-mid RIAs who need a purpose-built advisor CRM
Wealthbox
A modern, visually clean advisor CRM that has gained significant traction with technology-forward advisors who find Redtail dated and Salesforce too complex. Wealthbox offers streamlined contact management, task tracking, pipeline management, and an API-first design that integrates cleanly with custodians, portfolio systems, and productivity tools. The platform's relative simplicity is both its strength (fast onboarding, intuitive UX) and limitation (less depth for complex enterprise workflows). Particularly popular among next-generation advisors building from scratch.
Best for: tech-forward advisors and growing RIAs wanting a clean, modern CRM experience
Category 03
Portfolio Management
Portfolio management platforms handle position aggregation, performance calculation, rebalancing, billing, and client reporting. This category has historically been one of the most consolidated in WealthTech, with a handful of large platforms capturing the majority of RIA market share. Recent years have seen more competition from cloud-native challengers, but the incumbents remain deeply embedded in firm workflows and data infrastructure.
Orion
Orion has evolved from a portfolio management and reporting platform into a comprehensive advisor operating system. The platform spans portfolio management, performance reporting, trading and rebalancing, financial planning integration, and client portal experiences. Orion serves thousands of advisory firms across RIA and broker-dealer channels and has made significant acquisitions to expand its capability footprint. For firms that want a single vendor relationship covering much of their operational technology, Orion is the most credible end-to-end choice in the market today.
Best for: firms wanting a broad, end-to-end platform from a single provider
Black Diamond (SS&C Technologies)
Black Diamond is a portfolio management, reporting, and billing platform with approximately $3.6 trillion in administered assets and an 8 percent RIA market share. The platform is known for its client portal experience and integration depth within the SS&C ecosystem. Firms already using SS&C products — Advent, Geneva, or other SS&C tools — find Black Diamond a natural fit. The platform's strength is in its reporting quality and multi-custodian data aggregation; its limitation is that the broader SS&C ecosystem can create vendor concentration risk.
Best for: firms in the SS&C ecosystem or those prioritizing portfolio reporting quality
Envestnet Tamarac
Tamarac leads the RIA portfolio management market with an approximately 18 percent share, serving a broad range from emerging to enterprise RIAs. The platform covers portfolio management, rebalancing, reporting, and client portal, with tight integration into the Envestnet marketplace of investment products and managed account programs. Firms that use Envestnet for investment management find Tamarac the natural technology complement. The Envestnet platform's breadth is both its strength (deep integration) and its limitation (vendor concentration within a single ecosystem).
Best for: mid-market RIAs, particularly those using Envestnet investment programs
Category 04
Financial Planning
Financial planning platforms are where advisors model clients' financial lives: retirement projections, cash flow analysis, tax planning, insurance needs, estate planning, and goal tracking. The category has undergone significant modernization, with newer platforms offering collaborative client experiences alongside the comprehensive modeling capabilities of legacy tools. Choice of planning platform shapes advisor-client interaction as much as any other technology decision.
eMoney Advisor (Fidelity)
eMoney is the most comprehensive financial planning platform in the market, covering cash flow, retirement, insurance, estate, and tax planning with a deeply functional client portal called the eMoney Client Portal. Fidelity's acquisition of eMoney in 2015 has bolstered its distribution and institutional resources. The platform's depth is its primary strength; its complexity can be a learning curve for advisors who want simple goal-based planning rather than full financial plan delivery. Particularly well-suited to fee-only and comprehensive planning firms.
Best for: firms emphasizing comprehensive financial plan delivery as a core service
MoneyGuidePro (Envestnet)
MoneyGuidePro is goal-based financial planning software that has maintained a large installed base across wirehouses, broker-dealers, and independent advisors. The platform's approach centers on clients' goals rather than cash flow projections, which many advisors and clients find more intuitive. Envestnet's acquisition has deepened integration between MoneyGuidePro and the broader Envestnet ecosystem, including Tamarac. Firms in the Envestnet orbit benefit most from the tight connectivity; others may prefer platforms with broader integration flexibility.
Best for: advisors using Envestnet ecosystem tools and those preferring goal-based planning methodology
RightCapital
RightCapital has emerged as the fastest-growing financial planning platform, particularly among fee-only RIAs and next-generation advisors. The platform covers comprehensive planning with an emphasis on an intuitive, collaborative client experience and clean, shareable output. Tax planning features are notably strong. Pricing is competitive and onboarding is faster than legacy alternatives. The platform lacks some of the depth of eMoney for highly complex estates, but for firms building a modern planning process for the next decade, RightCapital represents the strongest combination of capability and usability.
Best for: next-generation advisory firms building modern, collaborative planning practices
Category 05
Compliance & Risk
Compliance technology spans a wide range: supervision workflow automation for broker-dealers, regulatory filing support for RIAs, surveillance for trading activity, and data governance infrastructure that makes the whole stack auditable. The category is shaped by regulatory environment — FINRA-regulated broker-dealers face different compliance technology demands than SEC-registered RIAs. Most compliance technology decisions are therefore segment-specific.
NRS / Sievert Larsen & Associates
National Regulatory Services (NRS) and its related consulting and technology entities serve broker-dealers with comprehensive compliance workflow automation: supervisory review, exception reporting, correspondence review, and exam preparation. The platform targets the specific operational compliance requirements of FINRA-regulated broker-dealers that independent RIA compliance tools do not address. Firms with complex supervisory hierarchies and high transaction volume benefit most from the workflow automation capabilities.
Best for: broker-dealers with complex supervision and correspondence review requirements
RIA in a Box (COMPLY)
RIA in a Box — now part of the COMPLY platform — combines compliance consulting with technology for registered investment advisors. The platform covers ADV filing management, compliance calendar and task management, policy and procedure management, and exam preparation support. The consulting component is valuable for smaller RIAs that do not have a dedicated CCO on staff. For firms that want a compliance partner as much as a technology tool, RIA in a Box provides more than software.
Best for: smaller RIAs seeking outsourced compliance support alongside technology
Milemarker (compliance features)
Milemarker's unified data infrastructure addresses a compliance challenge that standalone compliance tools cannot: data lineage and audit trail across the entire technology stack. When data from a custodian, CRM, and portfolio management system all flow through a unified data platform, every transformation is logged, timestamped, and traceable. This provides the forensic audit capability that regulators require when examining data management practices — going well beyond what any individual system can provide. Firms using Milemarker gain an automated, platform-level audit trail without additional compliance software purchases.
Best for: firms wanting compliance built into their data infrastructure layer
Category 06
AI & Intelligence
AI in wealth management is no longer a future capability — it is a present operational reality at firms that have done the data work to support it. The constraint is not the AI models themselves, which are now capable of sophisticated reasoning and synthesis. The constraint is data quality and accessibility. Firms with unified, normalized data can deploy AI that delivers genuine operational value; firms without it get AI tools that produce unreliable results based on incomplete inputs.
Milemarker Navigator
Navigator is Milemarker's AI layer, built on top of the unified firm data warehouse and powered by Anthropic Claude. Because Navigator operates on a complete, normalized dataset spanning CRM, portfolio, custodian, planning, and operational data, it can answer questions that require synthesizing information across systems: which clients had performance below benchmark last quarter who also have pending planning meetings? Which advisors are at capacity and which clients are under-engaged? Navigator answers in natural language with data drawn from the full firm dataset — not from a single system's export. This is the AI application model that delivers real firm intelligence rather than generic assistance.
Best for: firms with a Milemarker data foundation who want AI across the full firm dataset
Salesforce Einstein
Einstein is Salesforce's AI layer, embedded across Financial Services Cloud workflows. It provides predictive lead scoring, next-best-action recommendations within the CRM context, and generative AI for drafting client communications. Einstein's strength is its tight integration into the Salesforce workflow — advisors receive AI recommendations without leaving their primary system of record. Its limitation is that Einstein's intelligence is bounded by what is in Salesforce; it cannot synthesize across portfolio data, custodian data, or planning data that lives in other systems.
Best for: Salesforce-heavy firms wanting AI embedded directly in CRM workflows
General LLMs (Claude, ChatGPT, Gemini)
General-purpose large language models are capable tools for research, writing, analysis, and summarization. Many advisors use them for drafting communications, synthesizing research, and preparing for client meetings. The fundamental limitation for firm-specific intelligence is that general LLMs have no access to your firm's data — client records, portfolio positions, CRM notes, performance history — unless you integrate them into a platform that provides that context. Without a data layer connecting firm data to the AI, general LLMs are useful productivity tools but not firm intelligence systems.
Best for: general productivity tasks; require data integration to access firm-specific intelligence
How to Evaluate Platforms: The Integration Test
Every category in this guide contains strong options. The strategic error most firms make is evaluating platforms in isolation — assessing each tool's feature set without evaluating how well it shares data with the rest of the stack.
A portfolio management platform that cannot export clean, normalized data to your analytics layer is only as valuable as its own reporting capabilities. A CRM that doesn't connect to your portfolio system creates a fragmented client view that advisors manually reconcile. A financial planning tool that can't receive updated account data requires manual data entry that introduces errors and operational overhead.
The Integration Test
Before signing any technology contract, ask: "How does this platform's data reach everything else in our stack?"
If the answer is "we export a CSV" or "there's a manual sync," the platform will create operational overhead proportional to how important its data is to your other systems. The best individual tool is useless if it can't share data with the rest of your stack. Evaluate every platform on its integration capabilities, not just its feature set.
The Data Layer Approach
The firms that resolve the integration challenge most effectively do not rely on point-to-point integrations between individual tools. They invest in a data layer — a unified platform that connects all tools and normalizes their data into a single, queryable warehouse.
With a data layer in place, every tool's integration quality improves because the data layer handles normalization, identity resolution, and format translation. Adding a new tool means connecting it to the data layer, not rebuilding integrations with every other tool in the stack. The data layer is what makes every other tool more valuable — and what enables AI to operate across the full firm dataset rather than one system at a time.
Evaluating Integration Depth
When assessing integration capabilities across any platform, apply these tests:
API availability: Does the platform expose a documented, stable API? Can you read and write data programmatically?
Data model access: Can you access raw normalized data, or only pre-built reports? Firms that need custom analytics require raw data access.
Real-time vs. batch: Does data sync in real time (streaming), on a schedule (nightly batch), or only on manual trigger? The answer matters significantly for use cases like compliance monitoring and AI applications.
Outbound webhooks: Does the platform push data to external systems when events occur (new client, updated account, completed planning session), or does every integration require polling?
Data portability: In the event you replace this platform, can you export your complete data history in a portable format? Platforms that lock your data increase switching costs and reduce your negotiating leverage.
01
API Quality
Documented, versioned, stable API with full read/write access to the platform's data model.
02
Real-time Data
Webhook or streaming support for event-driven data sharing rather than manual exports.
03
Data Portability
Full export capability in standard formats; no proprietary lock on your firm's data history.
04
Native Connectors
Pre-built integrations to your other core tools — not just theoretical API compatibility.
05
Identity Resolution
Does the platform normalize client and account identifiers across systems, or does your team reconcile manually?
06
Data Model Depth
Does the integration preserve the full data model, or does it flatten records into a lowest-common-denominator format?
Frequently Asked Questions
The best WealthTech platforms for RIAs depend on firm size and specific needs, but the leading options by category include: data platforms (Milemarker, Addepar), CRM (Salesforce Financial Services Cloud, Redtail, Wealthbox), portfolio management (Orion, Black Diamond, Envestnet Tamarac), financial planning (eMoney Advisor, MoneyGuidePro, RightCapital), compliance (RIA in a Box, NRS), and AI (Milemarker Navigator). Most successful RIAs use a combination of best-of-breed tools connected by a unified data layer.
All-in-one platforms offer simplicity and lower integration overhead but often lag behind specialized tools in specific capability areas. Best-of-breed stacks allow firms to choose the strongest tool in each category but require a data strategy to connect them. Most advisory firms above $500M AUM find that a best-of-breed approach with a unified data layer delivers superior outcomes compared to all-in-one solutions that compromise on specific capabilities. The key is having a clear data architecture before selecting individual tools.
The data layer is the most leveraged technology investment an advisory firm can make. Every other tool — CRM, portfolio management, planning, compliance, AI — becomes more valuable when its data is unified and accessible. Firms that invest in data infrastructure first find that subsequent technology investments produce compounding returns rather than isolated value. The CRM is not useful without connected portfolio data; AI is not reliable without clean, comprehensive inputs; compliance reporting is not trustworthy without a complete audit trail across systems.
Industry benchmarks suggest advisory firms spend 5 to 10 percent of revenue on technology, though this varies by firm type and growth stage. RIAs focused on growth tend to invest at the higher end. The more meaningful question is return on investment: technology that reduces operational overhead by 20 percent, improves client retention by 5 percent, or enables advisors to serve 15 percent more clients typically pays back within 12 to 24 months. Evaluate technology investment against measurable operational and growth outcomes, not just against a percentage benchmark.
A data platform consolidates data from all of a firm's technology systems into a unified, normalized data warehouse. Unlike individual tools (CRM, portfolio management), a data platform connects them all and makes their data available for analytics, compliance reporting, and AI. Firms with more than three to four technology systems, or firms planning AI initiatives, almost universally benefit from a dedicated data platform. The alternative — manual data reconciliation across siloed systems — costs firms 30 to 40 percent of finance team labor and creates the data inconsistencies that make analytics and AI unreliable.
Integration quality varies significantly across the WealthTech landscape. Platforms with strong API ecosystems and open data models integrate most cleanly: Salesforce, Orion, and Redtail have extensive integration libraries. However, the most reliable approach to cross-platform integration is a dedicated data layer like Milemarker, which maintains 130+ native connectors to CRMs, custodians, portfolio systems, planning tools, and custom systems. A data platform handles format normalization, identity resolution, and data quality across all connected systems — regardless of each individual tool's native integration quality.
Conclusion
The WealthTech landscape in 2026 offers advisory firms unprecedented choice across every functional category. The leading CRMs, portfolio management platforms, financial planning tools, and compliance systems are all capable of serving their intended function well. The differentiator between technology stacks that accelerate firm growth and those that create operational drag is integration architecture — specifically, whether the firm has a data layer that connects all tools into a unified, queryable foundation.
Firms evaluating WealthTech should ask three questions before selecting any platform: Does this tool serve its function better than alternatives? Does it integrate cleanly with our existing stack? And do we have a data layer that will make this tool's data available to everything else we use?
The firms that will compete most effectively in the next decade are not those with the most tools — they are those with the most unified, well-connected data. Every platform decision should be evaluated against that strategic objective.
