Wealth management
Wealth management software the compliance review will not send back
You sit on custodian data and a fee an AUM client can see. Your software has to justify both.
What makes this vertical different
4 things that decide this
- 01Your client data usually already lives at a custodian. Schwab and Fidelity expose it through an API, and your build has to read that data rather than re-collect it.
- 02The SEC Marketing Rule governs any performance claim or testimonial your software shows a prospect. Get the disclosure wrong and your software is the liability.
- 03A client paying a fee tied to assets under management expects your software to look and behave like it's worth that fee. A generic dashboard undercuts your pitch.
- 04Tax and portfolio decisions compound over decades, so your projection tool has to show its assumptions alongside its output.
The software has to prove the plan
A wealth management build rarely starts from a blank slate for you. A custodian already holds the balances, the positions, the transaction history, and your engineering problem is pulling that data through an API, then building a plan your client can act on.
Most of that plan involves documents: tax returns, K-1s, 1099s, statements. A tool that reads those documents and checks its own extraction earns your client's trust fast. One that asks them to retype numbers into a form doesn't.
IRS Escape Plan runs this exact pattern for us. It reads 1040s, K-1s and 1099s and checks the figures, running more than 50 rules against the client's profile and producing a report in under 30 minutes. That's what your wealth platform needs: real documents in, a checked plan out.
What we have shipped
Counted, not estimated
50+
tax strategies checked per client profile inside IRS Escape Plan
<30 min
to produce a personalized strategy report, document-verified
The wealth management work we take
Advisor tools and client-facing platforms where custodian data, documents and real-time markets meet.
Custodian data integration
We pull balances, positions and transactions from a custodian API and reconcile them against your own record, so you're never working from a stale export.
Document intelligence on tax and financial paperwork
We read 1040s, K-1s and 1099s, then check the extraction against the arithmetic rather than trust a confidence score. IRS Escape Plan runs this exact pattern for high earners.
Real-time alerting with a human approval gate
Trading CoPilot turns TradingView webhooks into a message the trader approves before a broker connection executes anything. Your wealth platform needs the same discipline: an agent that proposes, a person who confirms.
Long-horizon projection tools
We build calculators that show their assumptions beside the output number. A 15-to-20-year projection only earns your client's trust if they can see what drives it.
Client-facing portals
You get a portal that matches the fee your client pays: role-based views for the advisor and the client, built on the same underlying record so nobody works from two versions of the truth.
- Custodian pullBalances and positions, read not re-entered.
- Document intake1040, K-1, 1099 uploaded or scanned.
- ExtractionFields read, then checked against the maths.
- Strategy engineRules run against the client's actual profile.
- DisclosureAny claim or projection is labelled as one.
- Client reportAssumptions shown beside the number.
The failure point is almost never the model. It is a confident number with no visible assumption behind it, handed to a client who has to defend it to their own accountant.
A marketing claim inside the software is still a marketing claim
The SEC's Marketing Rule covers any communication that offers an advisory service, and software you show a prospect counts too. A projected return, a hypothetical chart, or a testimonial inside your app follows the same rules as a printed brochure.
Teams building the software rarely think of a chart as a marketing communication, so the disclosure ends up as a design afterthought instead of a requirement decided before the screen gets built.
We treat every projection and every hypothetical inside your product as a labelled claim from the first wireframe. The assumptions sit next to the number, not buried in a footer nobody reads.
- Decide which numbers are hypothetical before the screen gets designed, not after compliance flags it.
- Attach the assumption to the number, on the same screen, not in a linked disclosure.
- Log what your client saw and when, since a projection changes as inputs change.
Financial documents and real-time money decisions we have built
A calculator against a system an advisor can defend
Client data
The usual build
Re-entered by hand from a statement.
How we build
Pulled from the custodian API and reconciled.
Document reading
The usual build
Extraction trusted at whatever confidence score it returns.
How we build
Extraction checked against the underlying arithmetic.
Projections
The usual build
A number on a chart.
How we build
The number with its assumptions shown beside it.
Automated actions
The usual build
Executed as soon as the model decides.
How we build
Proposed, then approved by a person before anything moves.
Marketing claims
The usual build
Decided by whoever built the screen.
How we build
Labelled and logged from the first design pass.
What these builds run on
Application
- React
- TypeScript
- FastAPI
- Next.js
Data
- PostgreSQL
- Supabase
- Redis
Integrations
- Custodian APIs
- TradingView webhooks
- Broker connections
AI
- Document extraction
- Approval gates
- Rule-based validation
Questions wealth management teams ask us first
01Can you build on top of our custodian's API?+
Yes, that's usually the starting point. Schwab and Fidelity both expose account data through an API. Your build reads it directly, instead of asking a client to re-enter what the custodian already has. Matching that feed against your own record is the part that takes care.
02How do you keep AI-generated projections compliant with the Marketing Rule?+
We label every hypothetical or projected figure as one, with its assumptions on the same screen, and that gets decided before your interface is designed, not patched in afterward. Anything you show a prospect gets treated as a marketing communication, because under the rule it is one.
03Can AI read our clients' tax documents accurately?+
Yes, as long as you check the extraction rather than trust it. IRS Escape Plan reads 1040s, K-1s and 1099s and verifies the figures against the arithmetic, so a misread number becomes a flagged exception, not a wrong plan handed to your client.
04Should trades or rebalancing ever execute automatically?+
Only with a human approval step in front of anything that moves money. Trading CoPilot sends the proposed action to your trader and waits for a yes before it reaches the broker. The same pattern fits automated rebalancing.
05How much does a wealth management platform cost to build?+
Your main drivers are how many custodian integrations you need and how much of the plan is document-driven. How heavily your compliance team reviews client-facing screens matters too. Scoping calls are free. Where we need to read an existing codebase to answer honestly, we run a paid two-week diagnostic and you keep the findings either way.
Go deeper
- Professional and financial services hub →The industry hub this page belongs to.
- Fintech software development →The ledger and payment engineering underneath any financial product.
- IRS Escape Plan →Document-verified tax strategy, built and shipped.
- Trading CoPilot →Real-time alerts with a human approval gate before execution.
- Predictive analytics →Forecasts tied to a decision, checked against what actually happened.
