Dedicated private server
Each firm gets a dedicated, single-tenant server — not a messy local desktop with unknown files, extensions, permissions, and data-leakage risk.
Private AI for advisory firms
The AI platform that builds employees, not workflows.
Owned AI inside your firm, on dedicated, single-tenant infrastructure your firm controls — not shared SaaS.
AdvisorClaw is a dedicated, U.S. hosted AI hub for your firm — with Enhanced Memory, custom advisor workflows, and a clean, native interface. Build the apps, workflows, and client-ready work your firm needs on dedicated, single-tenant infrastructure your firm controls, not a shared SaaS environment.
You've spent years building your practice. Don't hand your business intelligence to AI you don't own.
Dedicated Hardware
Single-tenant infrastructure. Not a SaaS
Model-agnostic
No vendor lock-in. Works with any AI model and comes pre-shipped with access to IDX's U.S.-hosted models.
Built for Advisors
Customized tools, skills, capabilities, and agents out of the gate. Aimed at advisor workflows.
"Owned" AI
Build workflows and agents that are owned by your firm. No vendor lock-in. Business Intelligence that compounds
01 — The distinction
General-purpose tools weren't built for your firm.
The difference isn't the model. It's everything around the model — where it runs, what it remembers, who it's built for, and how your client data is handled.
General-purpose tools
Claude CodeChatGPTPerplexity
Powerful, but generic — dropped onto a desktop, configured by you, with sensitive client work flowing through whatever happens to sit behind them. They were designed for everyone — not for how advisory firms work.
AdvisorClaw
Advisor-native infrastructure
A secure, dedicated AI workspace built around how advisory firms actually operate. Curated software, custom skills, Enhanced Memory, and a polished UI — shipped as private infrastructure, not a tab you have to tame.
Frontier models are powerful for general-purpose inference, but they're increasingly expensive, unreliable, and still need customized "harnesses" for agents. AdvisorClaw was built to solve for that.
02 — Why it's stronger
Six advantages you can't bolt onto a desktop app.
Each one comes from treating advisory AI as infrastructure to be engineered — not a consumer app to be downloaded.
Model-Agnostic by Design
AdvisorClaw works with leading AI models and isn't tied to any single vendor. Private and custom LLM options are available.
Purpose-built workflows
Built by practitioners around what matters: client communication, portfolio context, compliance sensitivity, research, prospecting, meeting prep, and firm operations.
Curated custom skills
Skills and software designed, reviewed, and tuned for real advisory work — not the shallow, generic, or risky tools scattered across public marketplaces.
Enhanced Memory
Remembers the right things across sessions — firm context, client preferences, workflows, projects, recurring tasks — without forcing advisors to rebuild context every time.
Native advisor UI
An interface that feels like a professional workbench — not a developer terminal or a generic chatbot — giving advisors advanced AI without living inside a coding tool.
03 — The architecture
The First Truly AI-Native Solution for Advisors.
Actual Example
“Pull John Smith’s latest financial plan, find near-term tax-loss harvesting opportunities, analyze the photonics stock he asked about, and put it all in a branded PDF I can send him.”
- Pull the latest plan Planning
- Data Analyst finds tax-loss harvesting Custodian · Portfolio
- Market Strategist analyzes the photonics stock Research
- Marketing Analyst builds a branded PDF
- Ready: John Smith - Review.pdf
Actual Example
“Turn today’s meeting with John Smith into tasks and a follow-up email.”
- Meeting notes summarized Meeting notes
- Action items become tasks CRM
- Follow-up email drafted for review
Actual Example
“Using our CRM, portfolio and custodian data, build us an internal tool that generates a financial plan for any household.”
- Pull households and goals CRM
- Pull holdings and performance Portfolio
- Pull positions and transactions Custodian
- Developer agent builds the app
- Live: Wealth XYZ Financial Plan Generator
App names are examples only; not affiliated. Client names in examples are fictional.
CRM (e.g. Salesforce, Redtail, Wealthbox). Siloed: Its AI drafts emails from CRM fields only. It can't see the portfolio or the plan.CRM (e.g. Salesforce, Redtail, Wealthbox). With AdvisorClaw: Client history, tasks and notes feed one firm memory.Meeting notes (e.g. Jump, Zocks, Zoom AI). Siloed: Summarizes the call. The summary stays in that app.Meeting notes (e.g. Jump, Zocks, Zoom AI). With AdvisorClaw: Action items become CRM tasks and follow-up drafts automatically.Portfolio (e.g. Orion, Addepar, Black Diamond). Siloed: Explains performance, but doesn't know the client's goals.Portfolio (e.g. Orion, Addepar, Black Diamond). With AdvisorClaw: Performance plus goals plus notes become a client-ready review.Planning (e.g. eMoney, RightCapital, MoneyGuide). Siloed: Runs scenarios inside the plan, with no portfolio context.Planning (e.g. eMoney, RightCapital, MoneyGuide). With AdvisorClaw: Plan changes trigger rebalancing and tax checks.Custodian (e.g. Schwab, Fidelity, Pershing). Siloed: Data arrives as feeds and statements, with no reasoning on top.Custodian (e.g. Schwab, Fidelity, Pershing). With AdvisorClaw: Positions and transactions reconciled into firm memory daily.Research (e.g. Morningstar, YCharts, a general LLM). Siloed: Generic answers that know nothing about your firm or clients.Research (e.g. Morningstar, YCharts, a general LLM). With AdvisorClaw: Research grounded in your house views and the client's holdings.
04 — Real results
Real advisors. Real workflows. Real results.
Not generic demos. Here's how advisory firms are putting AdvisorClaw to work.
Virginia RIA · Wealth Management
40 hours → 10 minutes
The Deck That Built Itself — and Automated a $30,000 Workflow
How a wealth management firm automated its quarterly Investment Policy Committee Meeting Book from 40 hours to 10 minutes — replacing a $30,000/year role and eliminating a paid data subscription.
Read the case studyScottsdale RIA · Institutional Asset Management
Quant desk in under an hour
The CIO Who Built His Quant Desk in Under an Hour
How a skeptical $2.6B CIO went from “statistical collation” to internal champion in two meetings — watching a live GARCH volatility model get calibrated on his own strategy returns in under 10 minutes.
Read the case studySee How Advisors are Using it
05 — Side by side
The same question, asked across the category.
Consumer chatbots, desktop AI assistants, and AdvisorClaw — judged on what actually matters to a firm running real client work.
Consumer chatbots
ChatGPT · Perplexity
Desktop AI assistants
Claude Code & similar
AdvisorClaw
Advisor-native infrastructure
Environment
Shared SaaS app
Personal local install
Dedicated private infrastructure, owned by your firm
Where your data goes
Whatever model the vendor routes to
Your desktop plus vendor defaults
U.S. hosted infrastructure; model routing by your firm's policy
Built for advisors
No — general purpose
No — built for developers
Yes — designed by advisory practitioners
Skills & tools
Generic or none
Random marketplace skills
Curated, reviewed advisor skills
Memory
Thread-limited
Local and fragile
Enhanced Memory across sessions
Interface
A chat box
A developer terminal
A native advisor workbench
Team governance
Per-seat, ungoverned
Personal, hard to audit
Centralized, repeatable, auditable
Consumer chatbots
ChatGPT · Perplexity
- Environment
- Shared SaaS app
- Where your data goes
- Whatever model the vendor routes to
- Built for advisors
- No — general purpose
- Skills & tools
- Generic or none
- Memory
- Thread-limited
- Interface
- A chat box
- Team governance
- Per-seat, ungoverned
Desktop AI assistants
Claude Code & similar
- Environment
- Personal local install
- Where your data goes
- Your desktop plus vendor defaults
- Built for advisors
- No — built for developers
- Skills & tools
- Random marketplace skills
- Memory
- Local and fragile
- Interface
- A developer terminal
- Team governance
- Personal, hard to audit
AdvisorClaw
Advisor-native infrastructure
- Environment
- Dedicated private infrastructure, owned by your firm
- Where your data goes
- U.S. hosted infrastructure; model routing by your firm's policy
- Built for advisors
- Yes — designed by advisory practitioners
- Skills & tools
- Curated, reviewed advisor skills
- Memory
- Enhanced Memory across sessions
- Interface
- A native advisor workbench
- Team governance
- Centralized, repeatable, auditable
06 — Security
Your firm's AI, inside your firm.
Your server, which can be deployed behind your firewall — not a shared SaaS environment. AdvisorClaw runs AI workflows your firm owns.
Single-tenant by design
Your firm's environment is dedicated to you. No shared runtime, no co-mingled data with other customers.
U.S. hosted
Your environment is U.S. hosted, with model access and routing policies you control.
Your infrastructure, your control
Your server can be deployed behind your firewall, with your firm's own workspace, memory, and session history — not a shared SaaS environment.
07 — Ownership
Own your workflows. Avoid vendor lock-in.
AI models and vendors are changing fast, and today's leading provider may not be tomorrow's. When your workflows, memory, and know-how live inside someone else's platform, every change in costs, policy, or product becomes your firm's risk. AdvisorClaw is model agnostic, so the workflows you build stay yours — on dedicated, single-tenant infrastructure your firm controls, ready to run on whichever model fits best.
08 — FAQ
Answers for the obvious early questions.
AdvisorClaw is a dedicated AI hub built for advisory firms. Each firm gets a private, customized environment with Enhanced Memory, a live workspace, advisor-specific skills, and advisor-focused tools.
09 — The synthesis
A desktop install is personal and fragile. AdvisorClaw is infrastructure.
Centralized, repeatable, auditable, and deployable across real firms — giving advisors the power of advanced AI without making them live inside a coding tool.
For the advisor
Advanced AI that already understands advisory work — no setup marathon, no prompt engineering, no living in a terminal.
For the firm
A governed, single-tenant environment you can standardize, audit, and roll out across the team with confidence.