Your customers are already using chatbots every day for financial questions.
But right now, those conversations are happening outside your walls, outside your brand, and outside your control. We provide a unique platform that changes the equation.
VERU 365 specialized agents engage your clients and prospects, educate them with expert grade content, and hand them off to your financial representatives at the moment of intent. White-labeled to your firm. Compliance-first.
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Built around our three principles.
Privacy– Users own their data and remain anonymous until they decide what to share and with whom.
Security– Before a user can enter the platform, biometric identity verification is required.
Money is fungible– Money moves to where it is treated well.
In conversations for our beta cohort with wealth advisors, hedge funds, CPA firms, banks, credit unions, insurance agencies, municipalities and large employer groups- virtually anyone that has a vested interested in their constituencies financial welfare.
Relationships That Never Sleep
An AI platform that transforms how financial clients engage with the institutions they trust — deeper, smarter, always on. We’ve designed this system to connect daily digital education with the highly regulated human expertise that users eventually require.
Our AI agents function as a cohesive team specializing in financial planning, stock market investment strategies, and tax optimization. Designed to be both educational and engaging, the platform ensures that complex financial concepts are accessible and fun to explore.
With user consent, VERU|365 provides an AI-generated summary to a licensed representative. This seamless transition eliminates the need to repeat your personal circumstances and ensures that both the client and the firm’s advisor can optimize their time effectively from the very first meeting.
Three specialized agents. One trusted handoff.
Each agent is trained for a specific kind of conversation and bounded by the same compliance logic. They explain. They never recommend. They know when to step back and bring in your advisor.
Markets
For the visitor who wants their position decoded, not their hand held. Comfortable with complexity. Talks in concrete numbers.
Planning
A CFP®-trained companion that walks visitors through the questions they used to wait three weeks for an appointment to ask.

Wealth Transfer
Built for the conversations that the rest of the industry has historically not been built for. Calm, direct, doesn’t tiptoe.
The Firm Challenge: Scaling Private, Intelligent Conversations
Bridging the critical gap between mass digital financial literacy and secure, structured enterprise-grade human advisory networks.
THE DIRTY SECRET: financial plans are obsolete upon delivery.
Traditional financial planning is built around a snapshot of where your money sits on a single day. But real life is a constantly moving picture. Static plans break the moment a life curveball—like a job loss, an unexpected health crisis, or a market crash—hits.
Financial institutions cannot scale 24/7 personalized advice to every member. At the same time consumers are increasingly seeking answers from generic large language models instead of their trusted advisor. Relying on these public bots is risky. They lack personal context, they can hallucinate financial facts, and they expose sensitive data to significant privacy vulnerabilities.
Form based lead generation and customer support was built for a different internet. A serious client or prospect with a real question wants a real conversation—and most firm’s sites still answer with a contact form and 48 hour wait. Our AI’s work as a team to make financial education fun and at the same time provide expert answers. Safe AI deployment in the financial sector relies on contextually aware agents that recognize and remember individual user histories.
Biometric & Identity Gatekeeping
We’ve designed this system to connect daily digital education with the highly regulated human expertise that users eventually require. Before any advice is shared, the system establishes trust through a regulatory-grade biometric facial scan and government ID verification.
Persistent Personal History Layers
When a user returns to the app, the AI maintains perfect context of their life, eliminating the need for a new intake process every time they have a question. Grounding the AI in this persistent personal history allows the platform to function as a dynamic partner that understands the user’s long-term trajectory.
Total Addressable Market Sizing
SEC / FDIC / NCUA / IRS Baseline Indexes
| Segment Type | Target Metric Target Area | Approx. U.S. Count | Primary Regulatory / Industry Data Source |
|---|---|---|---|
| Wealth Management | SEC-Registered Corporate RIAs | 15,870 | Investment Adviser Association (IAA) |
| Wealth Management | Total Wealth Firms (State + SEC) | ~44,700 | AdvizorPro Advisor Dataset |
| Hedge Funds | Distinct U.S. Management Firms | 3,500 – 4,000 | SEC Private Fund Reporting Data |
| Hedge Funds | Total Live Fund Vehicles (Global/U.S.) | 11,000 – 15,000 | Barclays / HFR BarclayHedge |
| Financial Sector | Insured Commercial Banks | 4,462 | FDIC Data Tools |
| Financial Sector | Insured Credit Unions | 4,830 | NCUA Quarterly Reports |
| CPA Sector | Accounting Firms with >100 clients | 128,500 – 135,000 | IRS EFIN / PTIN Registrations |
| Municipalities | Cities with >500 employees | 750 – 850 | U.S. Census Bureau (ASPEP) |
| Municipalities | Cities with >3,000 employees | 75 – 85 | U.S. Census Bureau (ASPEP) |
| Enterprise B2B | Firms with >5,000 employees | 47,000 | U.S. Census Bureau (SUSB) |
Sovereign Trust, Algorithmic Auditing & Data Governance
At VERU|365, security is foundational infrastructure — never an abstraction layer appended after the fact.
At VERU|365, security is infrastructure — not a feature layer bolted on after the fact. Before any users are allowed access to the platform, VERU|365 establishes trust through a regulatory-grade biometric facial scan and government ID verification. Keeping bad actors out is the first step toward the KYC and AML rules financial regulated entities need to adhere by. VERU|365 resides on the Google SOC 2 compliant Cloud.
Before any user executes logic or triggers analytical tracking, verified cryptographic identities match to deep suitability schemas. This compliance-first posture protects financial ecosystems at the perimeter.
PAGO Engine
Real-Time Suitability MatrixReplacing traditional static annual updates with a continuous awareness tracking structure. PAGO processes structural data models into clear advice mapping systems for human-in-the-loop validation.
- Dynamic Risk Identification [ACTIVE]
- Suitability Mapping Vector [COMPLIANT]
- Lifetime Client Value Metric [DETERMINISTIC]
- Obstacle Counter-Isolation [SOCIALLY PROTECTED]
Algorithmic Audit Trail & Verification Protocols
Deterministic Core Logic
Large Language Models are inherently probabilistic. We fuse structural business rules and logic tables with our proprietary RAG engine to guarantee absolute deterministic execution parameters.
WORM Archival Repositories
Maintains five-year immutable system history logs containing completely anonymized text messages, structured operational tokens, vector logs, and integrated semantic natural language index fields.
Incident Protection Programs
Hardened data containment fields operate in full alignment with active Regulation S-P requirements, Identity Theft Program updates, and automated Incident Response Plans (IRP).
Multi-Tenant Data Sovereignty & Isolation Framework
PostgreSQL Row-Level Security (RLS)
Enforced unconditionally at the core database level. Application requests match directly against explicit tenant_id custom strings via cryptographic JWT claims, preserving absolute data segregation even during application routing failures.
Vector Space Partitioning
System memories, long-term contextual historical data, and deep compliance indicators are completely siloed inside isolated namespace partitions at the vector directory layer. Multi-tenant intersection is completely prevented.
PII / PFI Dynamic Redaction
Enterprise-grade structural filters strip out sensitive personal identifiers and protected financial details before user payloads ever communicate with localized model clusters. Zero training footprint guarantees total isolation.
Infrastructure Authorization & Stability
Binary Authorization (BinAuthz) pipelines verify development footprints prior to execution. OpenTelemetry distributed tracing fields eliminate the “noisy neighbor” compromise footprint while maintaining resource balancing grids.
Continuity, Interoperability & Strategic Vendor Oversight
All structural partner integrations (including Plaid, Interactive Brokers, Schwab, and core processing elements) execute explicitly under formalized structural secure data-handling treaties and audited vendor tracking assessments. Active user choice parameters map transparently before data fields coordinate across variables.
Enterprise continuity paths focus on absolute structural platform resilience across redundant geographic hosting fields, deploying global encryption protocols (TLS 1.3+ and AES-256 validation algorithms) uniformly for all data elements at rest and in motion.
Risk-Free Top-of-Funnel Client Acquisition
The entire engine is white-labeled for use by banks, CPAs, and wealth managers. Institutions provide this AI as a complimentary service to build financial literacy and convert cold leads into engaged prospects. The business model is risk-free for the organization; they only pay $9.95 a month for users who are highly engaged. All other usage is free. This structure allows firms to broadly distribute the app as a top-of-funnel tool with no financial downside if the users don’t engage.
Value Proposition: Pay only for high engagement ($9.95/mo per engaged user). Broad distribution with zero downside risk, transforming static financial content into an interactive lead acquisition and customer retention channel.
Usage & Performance Dashboard Summary
The Ultimate Payoff: Seamless Advisor Handoff
The ultimate payoff is the handoff—the moment digital education matures into a need for high-value human interaction. Users who are ready for professional advice can book a meeting with their designated human advisor directly through the AI platform. Because the AI has pre-processed the user’s financial statements and context, the human advisor arrives at the meeting with the facts already in hand. The institution gains an educated client at a low acquisition cost, allowing the advisor to focus on high-level strategy and long-term relationship building.
Active Client Engagement Tracker
| User ID / Email | Biometric ID | Chats | Tokens | Minutes | Status |
|---|---|---|---|---|---|
| Demo Client 1 k+demo1@veru365.com |
YES | 6 | 12.7K | 1 | Active |
| Demo Client 33 k+demo33@veru365.com |
YES | 7 | 12.5K | 1 | Active |
| DEMO-EB6B8C Data sharing disabled |
YES | 6 | 11.7K | 1 | Active |
| Demo Client 27 k+demo27@veru365.com |
YES | 4 | 6.4K | 0 | Active |
| DEMO-D2C571 Data sharing disabled |
YES | 5 | 6.2K | 0 | Active |
Model Infrastructure & Consumption
| Model Name | Messages | Input Tokens | Output Tokens | Total Tokens |
|---|---|---|---|---|
| freddy power gemini 2.5 flash | 65 | 52.6K | 11.9K | 64.4K |
| freddy seed gemini 2.5 flash | 50 | 0 | 0 | 0 |
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