Everything a technical co-founder would own — as a service.
12 ways to plug senior technical leadership into your company: from owning the whole technology function as your Fractional CTO, to a specialist workstream in engineering, data, security, or AI. Every service below is delivered hands-on — I write production code every week, not strategy decks.
Advisory and hands-on. One operator, twelve disciplines.
Pick one or combine. Every engagement starts with a short assessment so we're aligned on the outcomes we're going after before anything else.
Open any service for the deep dive — workstreams, tools, deliverables.
Fractional CTO Leadership
Embedded as your part-time CTO. Own technical direction, unblock the team, and report into the board.
- Weekly 1:1s with engineering leads
- Architecture & roadmap ownership
- Board-level technical reporting
Fundraising & Deal Support
Pre-seed to seed fundraising from the founder's side of the table. Legal, financial, and technical workstreams run in parallel — so you close faster and cleaner.
- SeedLegals contracts, cap table, term sheets
- Financial modelling & runway planning
- Investor DD: technical, product, founder
- Deal negotiation & closing support
Product Management
Ship the right features at the right time. Roadmaps tied to real user outcomes, not founder instinct.
- Discovery, prioritisation, roadmap
- Opportunity solution trees
- OKRs tied to product outcomes
Full-Stack Engineering
Hands-on code, not just strategy. I ship features, unblock PRs, and pair with your team when it matters.
- TypeScript, Node, Python, Java
- React, Next.js, Angular frontends
- APIs, queues, event-driven systems
Architecture & DevOps
Design systems that survive the next order of magnitude. Set up the infra, CI/CD, and cost controls once — properly.
- Platform design & architecture
- AWS, Azure, GCP, Kubernetes
- CI/CD, IaC, observability
DevOps & Cloud Infrastructure
Cloud-agnostic infrastructure-as-code from day one. Terraform-driven environments, repeatable pipelines, no lock-in regret in year two.
- Terraform IaC across AWS / Azure / GCP
- Cloud-agnostic environments & pipelines
- Secrets, secrets management, cost guardrails
Data Engineering
Production data platforms on Microsoft Fabric and Azure. PySpark pipelines, medallion architecture, and a semantic layer your AI features can actually rely on.
- Microsoft Fabric on Azure
- PySpark & Python pipelines
- Medallion lakehouse + semantic layer
Security Engineering
Ship secure by default. Codebase hardening, internal pentesting, Cyber Essentials Plus prep, and the groundwork for SOC 2 and ISO 27001.
- Codebase hardening & secure SDLC
- Internal pentesting & Cyber Essentials Plus prep
- SOC 2 / ISO 27001 readiness
AI Platform Engineering
Build the full stack. Foundation models, neural networks, training pipelines, and data prep — end-to-end platforms like the one I built at Bidwise AI.
- Foundation & neural-net models, fine-tuning
- Data prep, training & evaluation pipelines
- LLM integration, RAG, agents, MLOps
AI Enablement & Enterprise Training
Help your organisation go AI-native. Practical automation, workflow redesign, and hands-on training so your team stops asking and starts shipping.
- AI automation & workflow redesign
- Hands-on workshops & bootcamps
- AI adoption strategy & tooling rollouts
Delivery & Engineering Ops
Run the engineering department. Agile delivery, sprint rhythm, and the metrics that show you're actually shipping.
- Scrum / Kanban / Shape Up
- Delivery metrics & dashboards
- Rituals, retros, and incident response
Team, Hiring & Due Diligence
Hire the right first five engineers — or run the technical DD before a round, acquisition, or rebuild.
- Interview loops & scorecards
- Engineering ladder & comp bands
- Pre-investment technical DD (5–7 days)
A four-step engagement — designed to de-risk every week.
30-minute call. We scope the problem, stage, and fit. No pitch — just an honest read on whether I can help.
Short assessment sprint. I meet the team, read the code, and deliver a written plan with the outcomes we're going after and how we get there.
Ongoing fractional engagement — typically 1–2 days per week. Aligned on outcomes, not hours.
Quarterly reviews tied to measurable goals: shipping velocity, hiring targets, reliability, fundraising milestones.
How engagements are structured.
No retainers that quietly renew forever, no ambiguity about who owns what. These are the standard terms in every engagement contract.
Embedded on a fixed monthly retainer, aligned on outcomes — not hours on a timesheet.
Every engagement starts with a short assessment sprint and a written plan. After that, 30 days' notice either side — no long tie-ins.
I only work with a handful of clients at any given time, so every client gets real attention rather than a slice of a calendar split eight ways.
Standard work-for-hire terms in every contract. No ambiguity, no carve-outs.
Based on Paul Street in Shoreditch — in the room for workshops, board meetings, and critical hires, remote the rest of the week.
Technical due diligence as a fixed-fee project: 5–7 day turnaround with a written report ready for investment committee.
The strategy stays honest because I live with the code.
Every architectural call I make, I'm also accountable for as a contributor on the same codebase. I ship in Java, TypeScript, Node, Python, and Solidity, pair with the team on the hard problems, and review the pull requests that matter. That's the difference between a Fractional CTO and an advisor who visits once a month.
Ready to scale your engineering?
Book a 30-minute discovery call. If we're not a fit, I'll tell you on the call — and point you toward someone who is.