Veridian combines advisory and hands-on leadership: MVP and platform delivery, AI tooling embedded in real workflows, and CTO-level judgment when stakes are high. Built from 18 years in the seat—banking, venture-backed product, and global teams.
Pick the problems that match your stage. Engagements are scoped in conversation; investment is agreed case by case—no public rate card.
From zero to production: architecture, core features, and a release path your team can own—when you need velocity without a permanent executive hire.
Agent-assisted development, review and CI patterns, and guardrails so engineers ship faster without sacrificing quality or security.
Roadmaps tied to runway and revenue, build-vs-buy, and technical trade-offs explained for non-technical stakeholders.
Release discipline, observability, and operational readiness so launches survive real users—not just demo day.
Tooling choices and pipelines that fit startup constraints: what to adopt now, what to defer, and how to avoid throwaway AI experiments.
Ongoing or project-based
Leadership on architecture, prioritization, and vendor decisions—board-ready clarity with optional hands-on review where it moves the needle.
Fixed scope, time-boxed
Concentrated execution on a milestone: migration, critical release, or MVP slice—clear outcomes and a clean handoff.
Fractional CTO
Part-time executive presence across roadmap, team, and code—until you are ready to hire full-time or graduate to a stable operating model.
Not where your pitch deck says you are. Where you actually are. What does the codebase look like? Will the architecture hold when you 10x users? Is your team structured to ship, or structured to look busy? These are the questions that change trajectories.
Evaluating your current stack, infrastructure, and code quality against your 18-month growth trajectory. Enough agency-built codebases have crossed this desk to know exactly what technical debt is cosmetic and what's structural.
Team structure, communication patterns, release cadence, incident response. How the engineering org operates, not just what it produces. Teams from 2 to 18 across 4 time zones have been managed this way.
Most companies overestimate their AI capability and underestimate what AI-first engineering actually requires. An honest assessment of where your team is and what the gap looks like.
The most expensive technical decision is the one you make without enough context.
Not a feature wishlist. A sequence of engineering investments mapped to business milestones — funding rounds, market launches, scaling triggers. Each milestone with success criteria and fallback options.
A concrete plan for moving your engineering team to AI-first development. Which workflows change first. Which tools to adopt. How to measure the productivity gains. Built from implementation experience, not speculation.
Engineering roles defined with precision. Interview processes that identify the right candidates. Remote-first protocols. Onboarding systems. Teams built across ASEAN, hiring costs reduced 70% by transitioning from outsourced shops to lean in-house teams.
Some engagements stay strategic. Others require opening the IDE and shipping production code. Complete products have been built from empty repositories to paying users. Platform rebuilds led while the existing product kept serving customers. The line between "advisor" and "builder" is artificial.
4 months, zero to production
Full architecture design. AI-powered data analysis pipeline. Ranking algorithms. Crawling infrastructure. Then transitioned to ongoing CTO role as the company grew and hired.
Go, React, PostgreSQL, Azure
Rebuild under load
12-database consolidation to multi-tenancy. Complete backend rebuild while serving active clients. AI-powered supply chain disruption intelligence system built simultaneously.
NestJS, TypeScript, PostgreSQL, Azure
Years in Software
Companies Scaled
Largest Team Led
Project Budgets
"Understands the whole system. Provides guidance on improving in all aspects. Planning, prioritizing, executing. Strongly recommended."Raphael Ng, Engineering Director
"Instrumental to the company's success. Multiple multi-million USD funding rounds. Constant dedication. Strongest work ethic."Adrienne Beaumont, CEO
18 years across investment banking, e-commerce, startup MVPs. Paris to Hong Kong. CTO, VP Engineering, co-founder, lead developer. Master's in Software Engineering, Telecom Nancy. English and French. Focus: early-stage and SME teams shipping product and adopting AI-first engineering.
30 minutes. No slides. Just you describing what's hard, and an honest assessment of whether this practice can help.