Audit, Advisory, Ongoing
Engineering / AI & Technical Strategy
Pre-seed / Idea, MVP / Early Product, Seed / Early Growth, Series A+ / Scaling
Technical leadership to help you architect scalable systems, manage engineering teams, and responsibly integrate AI—without hiring a full-time CTO.
When You Should Hire...
Early-stage startup with a strong product vision but no technical lead
Founders validating AI use cases but need realistic feasibility
Scaling from MVP to production-grade system
Building engineering culture and hiring roadmap
Needing a second opinion on tech decisions or stack
Working through AI strategy without hiring an ML team yet
Reviewing third-party dev team quality and scalability
What our experts can do for you...
Technical architecture and system design
Infrastructure and devops planning
Engineering team structure and hiring
Codebase review and technical debt analysis
AI/ML integration strategy (LLMs, data pipelines, APIs)
AI product prototyping and feasibility validation
Build-vs-buy decision frameworks
Tech stack selection and tool evaluation
Security, compliance, and scalability reviews
Hands-on coaching for early engineering hires
Sample Outcomes
Clear, scalable architecture that fits your product roadmap
Tech stack aligned with your speed, budget, and stage
Strong technical documentation for investors or team onboarding
Defined AI opportunities that are realistic and measurable
Increased developer velocity and reduced risk through mentorship
Infrastructure that won’t break at scale
Sample Offerings
Architecture Review & Recommendations: 2-week audit
AI Strategy Sprint: 3-week exploration, POC roadmap, and risk analysis
Fractional CTO: 10–20 hrs/week for 3–6 months
Engineering Hiring + Onboarding Playbook: Role definition, interviews, and team setup
Code Quality & Technical Debt Review: One-time or quarterly engagement
