The Advisor's Time Belongs With The Client.
Advisory OS is the AI-native operating system for RIAs — a network of agents that read filings, track catalysts, monitor client accounts, and run compliance in the background, so advisors stop managing software and start managing relationships.
Wealth management runs on twelve disconnected tools.
A CRM for relationships. A separate system for portfolio data. Another for compliance logging. A fourth for client reporting. None of them talk to each other, so an advisor's day gets spent copying numbers between screens instead of reading the filing that actually moves a position. The tools didn't get smarter as the data got bigger — they just multiplied. Every hour lost to re-entry, reconciliation, and manual monitoring is an hour not spent with a client.
One operating system, eight layers of automation.
Every layer runs independently and communicates through a shared agent architecture — so nothing has to be re-entered twice.
Research Agents
Read quarterly filings, track catalysts, and draft client-ready summaries — before the analyst call ends.
Portfolio Intelligence
Continuously scores drift, concentration, and risk across every client account, not just the ones flagged manually.
Workflow Automation
Onboarding, rebalancing, and reporting run as pipelines — not checklists someone has to remember to run.
Advisor Console
One workspace replacing the CRM, spreadsheet, and portal an advisor used to keep open at once.
Data Connectors
A protocol layer linking custodians, market data, and CRMs, so agents work from one source of truth.
Client Portal
A white-labeled client experience that surfaces the same live data the advisor sees, minus the noise.
Compliance Engine
Every recommendation and communication is logged, checked, and audit-ready the moment it's created.
Multi-Agent Architecture
Specialized agents for research, risk, and compliance coordinate on a shared context — no manual handoffs.
Four agents. One shared memory.
Each agent is purpose-built for a single job, and each one hands off context to the next.
Research Agent
Reads quarterly filings the day they drop, tracks a live catalyst calendar, and drafts a client-ready summary with a clear buy/hold/sell view — attached to the source, not a hallucination.
Portfolio Monitoring Agent
Watches every client account for drift, concentration risk, and unusual activity in real time — containerized and deployed across a multi-replica Kubernetes cluster so nothing goes down at market open.
Pattern Recognition Engine
The neural architecture behind catalyst matching and similarity search across filings, presented at ICCAIML 2024 and published through Springer.
Catalyst Calendar Engine
A systematic engine that flags earnings dates, corporate actions, and management commentary before they move a client's position — so advisors are never briefing from memory.
Built on infrastructure that scales with the book of business.
From client data to a compliant action, in seven steps.
The same pipeline behind a research summary, a rebalance alert, or a quarterly review deck.
Ingest
Pull filings, prices, and account data from custodians and market feeds the moment they update.
Analyze
Agents parse the data against each client's mandate, risk profile, and existing positions.
Draft
A summary, alert, or recommendation gets written in plain language, sourced back to the filing.
Check
The compliance engine screens the draft against firm policy and regulatory rules before it moves.
Approve
The advisor reviews and signs off in one click — never blind, never blocking.
Deliver
The output reaches the client portal, the CRM, and the audit log at the same time.
Monitor
The agent keeps watching that position, ready to trigger the next cycle without being asked.
Compliance that runs continuously, not once a quarter.
Trust isn't a feature you bolt on to an advisory platform — it's the reason one exists.
Audit Trails
Every agent action, recommendation, and edit is logged and timestamped automatically.
Access Controls
Role-based permissions down to the account level, enforced at the data layer.
Data Encryption
Client and portfolio data encrypted in transit and at rest, by default.
Regulatory Alignment
Built against SEBI's advisory framework from the schema up, not retrofitted later.
Anomaly Detection
Agents flag unusual account activity the moment it deviates from a client's pattern.
Human-in-the-Loop
No recommendation reaches a client without an advisor's explicit sign-off.
The future advisory firm won't run on more software — it will run on fewer decisions an advisor has to make alone, because the agents around them are already watching.
Run your firm on an operating system, not a stack of tabs.
We're onboarding a small group of RIAs as design partners ahead of general availability.