Vuen AI - Technology Due Diligence

1. Financial Summary (last 12 months) Critical

Fundraising details, burn rate, cash runway, SAFEs, cap table

Uploading documents below Pre-revenue, SAFE-funded stage Partial data available (will describe in comments) Not available / confidential at this stage

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2. System Architecture Diagram Critical

Visual Agents platform, voice AI pipeline, multi-product architecture, integrations

Uploading documents below No formal diagram exists (can explain in comments) Not available at this stage

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PDF, PNG, SVG, DOCX, Visio

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3. Patent Filings & IP Documentation Critical

5 patents filed related to visual agents and voice AI technology

Uploading patent documentation Patents filed but pending review Some patents filed, can describe in comments Not available / confidential

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PDF, DOCX

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4. Team Bios (C-suite and technical leads) Critical

Enoc Silva (CEO), Johan Alexander Espinosa (CTO), Luis Sierra (CFO), engineering team

Uploading documents below Can provide verbally or via email Not available in formal format

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5. Security Audit / Penetration Test Report High

External security assessment or pen test results for voice AI platform

Uploading documents below No external audit conducted yet Internal audit only, no external assessment Not available / confidential

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PDF, DOCX

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6. Performance Testing & Latency Benchmarks High

Sub-3 second latency claims, voice AI performance metrics, benchmark results

Uploading test reports Preliminary results, still optimizing Claims made but no formal testing Not available yet

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7. Product Demos & Use Case Documentation High

Demo access links, user flows for Visual Data Agent (BI), Real Estate Agent, Restaurant Agent

Demo links or recordings provided Demo can be scheduled separately Some products available, others in development Not available for external review

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Video, PDF, DOCX with links

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8. Customer & Partner References Medium

Early customers, beta testers, partnerships (real estate brokers, restaurants, BI platforms)

Customer references and contact list provided Can provide verbally or list names Limited references available (early stage) Not available

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9. Total employee headcount at Vuen AI today

Breakdown (engineering vs. non-engineering, FTEs vs. contractors)

10. Key person dependencies and leadership depth

1 founder owns most critical functions (high risk) 2-3 key people (Enoc, Johan, Luis) are critical Distributed leadership with 5+ people in critical roles Documented succession plans for all key roles

Ownership concentration

11. Engineering team capability for AI/ML and voice technology

Early stage, still building AI/ML expertise Developing expertise in voice AI and LLMs Strong AI/ML background, proven voice AI experience Exceptional team with published research or prior successful AI products

Technical capabilities

12. Software development lifecycle (SDLC) methodology

Ad-hoc, minimal documentation Agile/Scrum with sprints and retrospectives Kanban or continuous flow Formal documented process with stage gates

Development velocity and planning

13. Deployment automation and CI/CD maturity

Manual deployments, no automation Semi-automated (testing automated, deployments manual) Fully automated to staging, manual to production Fully automated including production (with safeguards)

Deployment tools and frequency

14. Disaster recovery and business continuity strategy

No formal DR/BCP plan Informal procedures, not tested Documented plan, not recently tested Documented and tested (within 6 months)

RTO/RPO targets and backup strategy

15. Financial forecasting and burn rate management

No formal forecasting Quarterly forecasting at best Monthly rolling forecast with variance analysis Weekly cash flow tracking and monthly detailed forecast

Runway and financial planning

16. Primary tech stack for voice AI agents

Select all that apply

AI/ML frameworks and voice libraries

17. Cloud infrastructure and hosting

Infrastructure details

18. Scalability design for concurrent voice sessions

Monolithic architecture, single server Basic horizontal scaling (load balancer + multiple instances) Microservices with service mesh or API gateway Event-driven or serverless architecture

Concurrent session capacity

19. Technical debt assessment

<10% of codebase, well-managed 10-25%, being addressed in roadmap 25-40%, significant refactoring needed >40%, blocking new feature development

Specific debt areas

20. Latency optimization and performance monitoring

Not formally monitored Basic metrics (server logs, application level) Comprehensive APM (Application Performance Monitoring) Advanced monitoring with predictive alerting

Latency SLOs and tools

21. Data persistence and database architecture

Relational database (PostgreSQL, MySQL) NoSQL (MongoDB, DynamoDB, Firebase) Multi-database (polyglot persistence) Data warehouse + transactional DB

Data architecture and analytics capability

22. Security program maturity

Ad-hoc security practices Developing security program (OWASP awareness) Formal program with security owner Advanced with threat modeling and security testing

Security practices and certifications

23. Product vision and core value proposition

Visual Agents as voice-first AI representatives with dynamic visuals across verticals

Clear, differentiated vision across all 3 verticals Vision is evolving based on customer feedback Testing multiple positioning approaches Vision not yet clearly defined

Vertical strategy

24. Product-market fit indicators

No customers yet, pre-launch Early traction with 1-3 beta customers Growing customer base with clear use cases Strong PMF indicators (high retention, word-of-mouth)

Evidence of fit

25. Revenue model clarity

Pre-revenue, exploring models Planned revenue model (not yet implemented) Early revenue (pilots/pilots, not yet scaled) Established, repeatable revenue model

Revenue model details

26. Customer segment focus and market opportunity

Select all that apply

Real Estate brokers and agents Restaurant chains and QSR Enterprise BI and data analysts SMB service providers Other verticals

Market sizing and TAM

27. Product roadmap and feature prioritization

Informal, reactive to feedback Quarterly planning with structured roadmap Strategic roadmap aligned with business goals Detailed 12-month roadmap with dependencies

Key planned features

28. Competitive positioning vs. alternatives

Emerging category, limited direct competition Differentiated alternative to existing solutions Crowded market with strong incumbents Enabling technology for multiple verticals

Competitive advantages

Vuen AI Technology Due Diligence

Submitter Information

Document Uploads Critical

Organization & People 3

Engineering Process 4

Technology & Architecture 7

Product & Market 6