2-3 Week Architecture Reviews for Hardware-First Startups

Identify the $500K+ Mistakes Before They Happen

I do 2-3 week technical architecture reviews for hardware-first startups building robotics, IoT, and edge AI systems. Get clarity on what will scale and what won't—before your Series A.

Edge vs Cloud Architecture
Scalability to 1,000+ Units
Privacy & Compliance Review

Who This Is For

Hardware-first startups that need architecture clarity before they scale

Hardware-First Startups

Robotics, IoT, and edge AI companies that need architecture reviews before they scale. You're building something that processes data at the edge, works when networks fail, and needs to handle sensitive information correctly.

Technical Founders

You know your domain but need an outside technical assessment. Someone who's built edge-first systems to review your architecture and identify risks before they become expensive rewrites.

Pre-Series A Teams

Raising capital soon and need to answer: 'Will this architecture scale to 1,000 units?' or 'How do you handle privacy/compliance?' I help you get those answers before investors ask.

Why I Can Help

I'm building the same types of systems you are

The Background

I learned CAD and CNC machinery at seven, watching someone with three years of formal education build systems for nuclear submarines. That taught me technology is for anyone willing to learn and work hard.

Then I spent ten years mastering software development. And now I'm back building robotics with OrbCare—a HIPAA-compliant health monitoring system that processes everything at the edge.

The interesting problems are where hardware and software collide. Most startups treat their robots like web apps—and pay for it at Series B with expensive rewrites. I help you avoid that by reviewing your architecture before it becomes too expensive to fix.

Hardware + Software Experience

Early exposure to manufacturing and automation, 10 years in software development, now building robotics with OrbCare. I understand both sides of hardware-first architecture.

HIPAA & Privacy Expertise

Hands-on experience building HIPAA-compliant systems with edge-first, privacy-by-design architecture. I know what survives regulatory scrutiny because I've built it.

Edge-First Architecture

Deep experience with real-time systems, edge computing, and building devices that work when networks fail. This is what I'm building with OrbCare—systems that function offline.

Scalability Assessment

I can identify architectural decisions that will break at 100 units, 1,000 units, or 10,000 units. Better to know now than during Series B when rewrites cost millions.

How It Works

A structured 2-3 week process to assess your architecture and identify risks

1

Week 1: Discovery & Analysis

  • Kickoff call (60 mins) to understand your system, challenges, and goals
  • Review architecture docs, codebase, and infrastructure
  • Interview 2-3 key engineers (30 mins each)
  • Technical deep dive on critical components
2

Week 2: Assessment & Evaluation

  • Identify architectural risks and bottlenecks
  • Evaluate edge vs cloud processing decisions
  • Review real-time system design and data flows
  • Assess scalability (100 → 1,000 → 10,000 units)
  • Security and privacy review (HIPAA/PHI if applicable)
3

Week 3: Deliverable & Presentation

  • Written report (15-20 pages) with architecture diagrams
  • Risk assessment with red/yellow/green prioritization
  • Specific recommendations with implementation estimates
  • 30/60/90-day remediation roadmap
  • Presentation call (90 mins) with founders and team
  • 30 days of email support for questions

What You'll Get

Current Architecture Assessment

  • Complete architecture diagram (current state)
  • Edge vs cloud processing analysis
  • Real-time system and data flow evaluation
  • Hardware-software integration review

Risk & Scalability Analysis

  • Technical risks prioritized by impact
  • Scalability assessment (100 → 1,000 → 10,000 units)
  • Failure modes and reliability gaps
  • Privacy and data handling review (HIPAA/PHI if applicable)

Recommendations & Roadmap

  • Specific architecture improvements with priority rankings
  • 30/60/90-day implementation roadmap
  • Build vs buy guidance for critical components
  • Technical debt management strategy

Pricing

Clear, straightforward pricing for a 2-3 week engagement

$15,000
Standard Architecture Review
Complete 2-3 week architecture assessment
Comprehensive written report with diagrams
Risk assessment and prioritized recommendations
30/60/90-day implementation roadmap
Presentation to founders and team
30 days of email support

Optional Add-Ons

HIPAA Compliance Deep Dive

+$5,000

Detailed compliance gap analysis and implementation roadmap for HIPAA certification

Pitch Deck Technical Slides

+$2,500

Investor-ready architecture diagrams and technical risk mitigation slides

Implementation Support (per week)

+$3,000

Hands-on help executing recommendations (can lead to ongoing fractional CTO arrangement)

Early Client Offer

For my first 3 clients: $12,500 (instead of $15,000) in exchange for a detailed testimonial and permission to use your project as a case study.

This helps me build proof while you get the same thorough architecture review at a discount.

Technical Proof Points

Systems I'm building that demonstrate hands-on experience with edge-first, privacy-by-design architecture

These aren't consulting projects—they're systems I'm actively building. They demonstrate my hands-on technical expertise in the exact problems hardware-first startups face: edge computing, real-time processing, privacy-by-design, and HIPAA compliance.

OrbCare — Health Monitoring Robot I'm Building case study illustration
Edge ComputingRoboticsHIPAA/PHIReal-Time Systems

OrbCare — Health Monitoring Robot I'm Building

HIPAA-compliant health monitoring system using edge AI for infant and elderly care. Demonstrates my hands-on experience with edge computing, real-time systems, privacy-by-design, and PHI handling.

Processing
100% Local
Response Time
< 1s
Lumi — AI Health Concierge (Personal Project) case study illustration
Conversational AIHIPAA ComplianceDigital Health

Lumi — AI Health Concierge (Personal Project)

Conversational AI for health tracking and medication adherence. Experience with AI architecture, health data integration, and building HIPAA-compliant systems from scratch.

Architecture
Privacy-First
Data Handling
Edge-First

Want to see the technical architecture decisions behind these projects? Let's talk about your architecture challenges

Questions I Can Answer

The specific architecture problems I help hardware-first startups solve

Edge vs Cloud

  • "What processing should happen on-device vs in the cloud?"
  • "Will our architecture work when the network goes down?"
  • "How do we handle offline-first with cloud sync?"

Scalability

  • "Will this architecture scale to 1,000 units?"
  • "What breaks when we go from 10 devices to 1,000?"
  • "Are we making decisions that require a $2M rewrite later?"

Privacy & Compliance

  • "How do we add HIPAA compliance without rebuilding everything?"
  • "Is our data handling privacy-by-design or a retrofit?"
  • "What's our exposure if there's a privacy breach?"

Technical Risk

  • "What are our biggest technical risks before Series A?"
  • "Which decisions are reversible and which are permanent?"
  • "What will investors ask about our architecture?"

Why This Works

The advantages of working with someone who's building the same types of systems

I've Made These Decisions

Building OrbCare, I've faced the exact same choices: edge vs cloud, offline-first design, HIPAA compliance, real-time processing. I'm not giving you theoretical advice—I'm sharing what actually works.

  • Edge-first architecture with cloud analytics
  • HIPAA compliance from day one (not retrofitted)
  • Real-time processing with sub-1s latency

Focused on Your Success

I'm launching Ferreira CTO with architecture reviews as the core offering. You get someone who's invested in delivering excellent work and building a reputation—not someone phoning it in between other clients.

  • Honest about what I know vs when to bring in specialists
  • Fast turnaround (2-3 weeks, not months)
  • Clear, actionable recommendations (not generic advice)

What Happens Next

Simple process to get started

1

Schedule a Call

30-minute discovery call to understand your system and challenges

2

Proposal & Timeline

I'll send a proposal with scope, timeline, and any recommended add-ons

3

Kickoff

We start the review within 1 week of agreement

4

Delivery

Complete report and presentation in 2-3 weeks

Let's Talk

Tell me about your architecture challenges

0/10 characters minimum

Prefer email or LinkedIn?