Advisor-native AI infrastructure

Not a chatbot. A secure AI operating system for modern advisory firms.

AdvisorClaw combines a dedicated private server, vetted U.S.-based SOC 2–aligned model access, custom advisor workflows, optimized memory, and a native-feeling interface — giving firms the power of advanced AI without the risk and friction of generic desktop tools.

0%

Private, single-tenant server per firm

SOC 2

Built on SOC 2 infrastructure

24 / 7

Persistent memory & live workspace

$0/mo

Founder pricing per deployed Claw

01The 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, which means they were designed for no one in particular.

AdvisorClaw

Advisor-native infrastructure

A secure, dedicated AI workspace built around how advisory firms actually operate. Curated software, custom skills, optimized memory, and a polished UI — shipped as private infrastructure, not a tab you have to tame.

Claude Code, ChatGPT, and Perplexity are general-purpose tools. AdvisorClaw is advisor-native infrastructure.


02The hidden cost

What generic desktop AI actually asks of an advisor.

Adopting consumer AI on a local machine quietly transfers four hard problems onto the firm — every one of them a place where time leaks and risk accumulates.

01

Download generic tools

Advisors are handed consumer software never designed for regulated, client-facing work — and left to make it fit.

02

Configure their own prompts

Every workflow has to be hand-assembled from scratch, with no shared standard and no institutional memory.

03

Vet random marketplace skills

Off-the-shelf “advisor AI skills” are often shallow, generic, or risky — and the burden of judging them falls on the firm.

04

Hope sensitive work stays contained

A local desktop install means unknown files, extensions, permissions, and client data flowing through whatever model the tool defaults to.

AdvisorClaw removes all four — by design.

One private cockpit, three pillars of advisor-native infrastructure — memory, models, and skills, working together.

The AdvisorClaw cockpit

One private cockpit

QMD

Enhanced Memory

  • Smarter recall: hybrid search — keyword, semantic, and reranking — so your Claw finds the right context faster than basic file memory.
  • Private by design: memory stays inside each firm's private VPS for stronger data isolation.
  • Built for long-running agents: preserves decisions, preferences, runbooks, and prior fixes across sessions.

Multi-model

Custom Model Routing

  • Smart model router sends each task to the best-fit model — speed, depth, or cost control.
  • Frontier access across leading systems like Claude, OpenAI, Kimi, and DeepSeek.
  • Custom tuning for research, reasoning, drafting, and workflow automation.
  • Cost-aware intelligence balances premium and efficient models — power without waste.

Built in-house

Proprietary Skills/Software

  • Custom advisor skills for meeting prep, follow-ups, research, and client-ready outputs.
  • Proprietary models & scripts like MERLIN, our Macro Economic Risk of Loss engine, turning complex data into advisor insight.
  • Private, curated toolkit for real advisory workflows — not generic marketplace plugins.

03Why 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.

Dedicated private server

Each firm gets a controlled, VPS-based deployment — not a messy local desktop with unknown files, extensions, permissions, and data-leakage risk.

Security-first model access

Configurable around vetted, U.S.-based SOC 2–aligned model providers and controlled routing policies — not whatever model a consumer tool happens to use.

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.

Optimized 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.


04Side 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

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 server per firm
Where your data goes
Configurable, vetted U.S. SOC 2–aligned providers
Built for advisors
Yes — designed by advisory practitioners
Skills & tools
Curated, reviewed advisor skills
Memory
Optimized cross-session firm memory
Interface
A native advisor workbench
Team governance
Centralized, repeatable, auditable

05Deployment

Three steps from request to working environment

From a single request to a live AI workstation. AdvisorClaw provisions a real operating environment for each agent — so your firm gets more than a prompt box from day one.

STEP 01

Request your Claw

Tell us what kind of work you want handled — research, operations, reporting, client service, or internal support. We use that context to shape the right starting environment.

STEP 02

We prepare the working environment

AdvisorClaw sets up the agent’s workstation, memory, files, and tool access so it can operate inside a real workflow instead of just replying in chat.

STEP 03

Launch a real digital worker

Your Claw goes live as an execution-ready teammate built to retain context, use tools, and move multi-step work forward under your supervision.


06Pricing

Founding access for early advisory teams

We’re opening AdvisorClaw to a small group of founding firms. Founder pricing starts at $500/month for a full on-premises agentic employee — including hands-on setup, early access support, and direct input into the product roadmap.

FOUNDING ACCESS

Limited founder rollout

A small number of advisory teams will get early access to AdvisorClaw at discounted founder pricing. Each deployment includes a real on-premises agentic employee with its own workstation, memory, files, and tools — built to do real work inside your firm.

FOUNDER PRICING

Starting at $0/month

Founder pricing begins at $500/month per deployed Claw for qualified early firms. This pricing is limited to the founding cohort and will increase as AdvisorClaw moves into broader release.

Apply for founding access

07FAQ

Answers for the obvious early questions.

What is AdvisorClaw?

AdvisorClaw is an advisor-focused AI operating environment deployed on a dedicated virtual private server for each client. Rather than giving firms a generic chatbot inside a shared SaaS application, AdvisorClaw deploys a private, customized OpenClaw-based environment with persistent memory, a live workspace, advisor-specific skills, and advisor-focused tools.

How is AdvisorClaw different from a chatbot or note taker?

A chatbot answers prompts. A note taker records conversations. AdvisorClaw is designed to do significantly more, with a persistent workspace, structured memory, tool-enabled workflows, specialist roles, and durable files and session context.

Does each client get their own server?

Yes. AdvisorClaw is deployed as a dedicated, single-instance environment for each client. That means each customer receives a private operating environment rather than sharing a common runtime with other customers.

Which model providers does AdvisorClaw support?

Current deployment paths support direct integration with OpenAI and Anthropic. AdvisorClaw is designed as an open architecture, so model-provider configuration can be shaped around customer requirements and deployment preferences.

Can we upload and download files?

Yes. Customers can upload and download files into and out of the workspace and session environment. That is intentional. AdvisorClaw is designed to integrate with real workflows rather than trap work inside a closed interface.

Is AdvisorClaw self-serve today?

AdvisorClaw is currently delivered through a managed private deployment model. That means deployments are provisioned intentionally, shaped for each client, and validated before handoff rather than launched through an instant self-serve flow.

What is IDX Intellex?

IDX is developing IDX Intellex, a self-hosted LLM offering intended to become an optional model path for AdvisorClaw deployments. It should be understood as an upcoming capability rather than the current default deployment baseline.

What is the strongest reason to choose AdvisorClaw?

The strongest reason is architectural. AdvisorClaw gives firms a private, advisor-focused AI operating environment with dedicated infrastructure, persistent memory, advisor-specific skills and tools, configurable model access, and stronger control boundaries than typical shared-server AI products.


08The 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.