Twelve expert perspectives, perspective convergence, challenge mode, persistent memory, and a curated knowledge base of 29,000+ estimated pages — here's how it all works.
Pick your perspective. We'll show you what Verafyde delivers for you — then show you what everyone else at the table would say.
👇 Select your role to see your personalized brief
Each role draws from 747 documents across Financial Services, Legal, and AI/Technology
Before you commit budget, sign the contract, or present to the board — stress-test your plan from every angle. Don't wait for Legal to flag a compliance gap, for the CFO to challenge your numbers, or for the board to question your risk exposure. Get every perspective before the meeting, not after.
One scenario. Twelve perspectives. Zero blind spots.
"We're launching an embedded lending product for our fintech platform. What should we consider?"
As Legal Counsel
What are our TILA/Reg Z disclosure requirements, and do we need a state lending license in each market?
As the CFO
What are the Dodd-Frank capital adequacy implications, and how does this affect our SEC reporting?
As the CISO
What's the threat surface for PII in loan applications? What does GLBA require for our safeguards?
As the CTO
Real-time credit decisioning at scale — what infrastructure do we need, and what's the latency budget?
As a Board Director
What fiduciary risks does this create? What governance framework should we adopt?
As a C-Suite exec
How does this change our risk profile with regulators, and what's our liability exposure?
As an ML Engineer
How do we ensure the credit model doesn't create disparate impact under ECOA/Reg B?
As a Product Manager
What compliance checkpoints need to be baked into the product roadmap?
As the CHRO
Do we need licensed compliance officers? What hiring and training is required?
As a Business Leader
What's the market opportunity, and how do compliance costs affect our unit economics?
As the CCO
What BSA/AML and consumer-protection program controls must be live before first loan originations?
As an Industry Analyst
How are embedded-lending peers positioning, and what market timing risks should the board hear?
Perspective Convergence
After every multi-perspective analysis, Verafyde automatically synthesizes where your advisors agree, where they diverge, and delivers a decision framework with conditional paths — so you walk into the meeting with the answer, not just the opinions.
Where They Align
Consensus points across all perspectives — your safest starting position.
Key Tensions
Where experts disagree and why — so you know exactly what trade-offs you're making.
Decision Framework
Conditional paths: "If X, do Y. If Z, do W." — ready for the boardroom.
Challenge My Decision
After convergence, tell Verafyde what you plan to do — and get the strongest counterarguments, the factors you may be underweighting, and the conditions that must hold for your decision to succeed. The boardroom dissent you need, on demand.
Counterarguments
The strongest objections drawn directly from expert analysis — not generic risks.
Blind Spots
Factors your decision may be underweighting, flagged by the perspectives that see them clearest.
Success Conditions
What must be true for your plan to work — and pointed questions to answer before you commit.
Select any of 12 expert perspectives from a single dropdown. Same scenario, completely different lens — legal, financial, compliance, technical, strategic — in one click.
See the hard questions coming before they land on your desk. Whether it's a regulator, a board member, or opposing counsel — be ready.
When you've already stress-tested from every angle — legal, financial, engineering, security — you move forward knowing nothing was missed.
SOC 2 Type II certified hosting. Confidence scoring on every answer. Source citations on every claim. Your CISO will approve it.
Fully verified from curated sources with inline citations for every claim.
Curated sources supplemented with web information, clearly delineated.
Honest about gaps. Partial answers with recommendations for further research.
Independently audited controls for security, availability, and confidentiality.
AES-256 at rest, TLS 1.3 in transit. Database connections secured and access-controlled.
Strict tenant isolation. Role-based access. Your data is never commingled.
Your conversations and documents are never used to train AI models. Your IP stays yours.
Delete anything — documents, conversations, memories — and all traces are permanently purged.
Input validation, rate limiting, session management, and security headers. Designed to pass vendor questionnaires.
Most AI tools forget you the moment a conversation ends. Verafyde AI remembers your industry, regulatory landscape, tech stack, and priorities — and uses that context to deliver sharper, more relevant advice every time.
Every. Single. Time.
Context-aware from day one.
Remembers your sector, regulatory landscape, and competitive position — so advice is always relevant.
Tracks which frameworks apply to you — Dodd-Frank, GDPR, SOC 2, HIPAA — and evolves as your exposure changes.
Organize work into focused projects. Upload proprietary documents and Verafyde AI uses them as context.
Invite team members, share project context, and work from the same knowledge base — no redundant uploads.
Every conversation makes it sharper. It learns passively — no extra steps, no forms to fill out.
View, edit, or delete anything Verafyde AI has learned. Your data, your rules — always transparent.
For high-stakes decisions, Verafyde is built to show its work and refuse false confidence. A top LLM is built to answer fluently.
Statutes, CFR, NIST, SEC, IRS, OSHA, and other official texts sit in a curated library labeled primary, guidance, or commentary. A chat LLM mixes training data and may invent section numbers.
Claims are checked against retrieved text and known framework IDs. If the cite does not hold, confidence is clamped.
Claims can be marked supported, paraphrased, unsupported, or contradicted, with flags for anything left uncited.
Legal Counsel is not the CHRO, and neither is the CISO. The same question is answered from adversarial angles.
Methodology and coverage limits are published. Licensed GAAP (FASB ASC), full ISO text, and IEC/ISA 62443 stay out until Hynds buys the licenses — we say that out loud instead of scraping them.
Hosted on Abacus (SOC 2 Type II), with a real support path at [email protected] — not “paste the deal into a consumer chat window.”
747 documents · 30,100+ indexed passages · 29,000+ estimated pages of primary-source content, with medium-to-deep primary coverage across all 12 seats.
Run a real plant, board, or CapEx question.
See the methodologyThe same primary-source reading that consulting teams charge six figures to do — 747 curated documents across AI/Technology, Legal, and Financial Services. Research sources refreshed on a schedule, regulatory sources refreshed monthly. Fully transparent. Every claim traceable to its source.
Financial Services & Regulation
185 documents · Dodd-Frank, SOX, Fed SR 11-7 model risk management, SEC Regs, SEC Staff Accounting Bulletins, IRS §174 / R&D credit & depreciation guidance, OCC, FDIC, Federal Reserve, FinCEN, CFPB, FINRA rules, Securities Act, Exchange Act, Commodity Exchange Act, BSA/AML, TILA, GLBA, JOBS Act
Legal & Compliance
312 documents · AI copyright & patent guidance (U.S. Copyright Office, USPTO), Colorado AI/ADMT & chatbot laws, DOJ/FTC Merger Guidelines, UCC Articles 1-9, FCPA Resource Guide, OFAC compliance framework, ITAR & EAR export controls, DFARS cyber clauses, Federal Rules of Civil/Criminal Procedure & Evidence, US Code Title 18, state bar ethics, EU AI Act, GDPR, CCPA, corporate governance, contracts & transactions, employment law (Title VII, ADA, ADEA, FLSA, WARN), OSHA (incl. Process Safety Management 1910.119) & EPA RCRA rules, FTC Endorsement Guides & advertising substantiation
AI, Technology & Cybersecurity
250 documents · Stanford, MIT, NIST AI RMF Playbook, W3C WCAG 2.2, NIST CSF 2.0, NIST SP 800-53 / 800-53B / 800-171, NIST SP 800-82 OT security, cloud Well-Architected frameworks, OWASP, MITRE ATT&CK, arXiv papers, Google MLOps, Wharton, Harvard Business School, McKinsey, BCG research
185 documents including
312 documents including
74 documents including
38 documents including
31 documents including
29 documents including
60 documents including
18 documents including
747 documents · 30,100+ indexed passages · 29,000+ estimated pages (≈400 words per page) of primary-source content. AI research sources are refreshed on a scheduled cadence; regulatory sources are refreshed monthly.