Two vendors pitch different builds
He reads both proposals and the code behind them, then tells you what each path costs and where the risk sits.
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Consultancy · AI-native Fractional CTO
An AI-native CTO who does what used to take a team
Picture an experienced CTO who works with AI all day. He reads your whole codebase in days, checks the vendor estimate line by line, drafts the architecture, writes the roadmap and runs the hiring loop. One senior person at your table, part time. We have people like that. We agree the role and who has the final say before starting.
- 130+People, remote across Poland
- 12 questionsIn our public AI readiness scorecard
- 5.0Clutch rating, 11 reviews
This is for you if you need a CTO's judgment before hiring a CTO
You are hiring without a technical interviewer
He defines the role, runs the technical interview and tells you whether the candidate can handle the work ahead.
Delivery is slow and nobody can say why
He looks at the code, the pipeline and the way the team plans work, then fixes what slows everyone down.
Investors want to understand the engineering
You get a straight account of what works, what is risky and what the next stage requires, in words an investor follows.
What you get. A technical leadership team in one person
Your code, actually read
With AI he goes through the repositories, infrastructure and tickets in days, not months. You get a plain account of what works, what is risky and what to fix first.
Architecture choices in writing
Options, trade-offs and a recommendation tied to your product plans. Your team sees why a choice was made and what would justify revisiting it.
A roadmap you can approve
Features and architecture changes in one plan, with the cost of each step spelled out so you can say yes or no.
Vendor checks and hiring loops
He questions vendor estimates, writes engineering roles and runs technical interviews. You keep the final say on who you hire and what you buy.
Process fixes that stick
Releases, code review, CI/CD and the way your team plans work. He fixes what slows you down and shows your engineers how to work with AI.
A decision log for your next CTO
Every choice, open question and follow-up in one record. If you hire a full-time CTO later, they start from it.
Technical judgment across almost any stack
Our fractional CTOs and the engineering team behind them have hands-on experience with most stacks a growing company runs. Your CTO starts with what you already have and recommends changes that fit your product plans.
Tech stack
- Architecture reviews
- Code audits
- Technical roadmap
- Vendor evaluation
- Hiring loops
- Claude Code
- Claude
- OpenAI
- Azure OpenAI
- AWS Bedrock
- LangChain
- RAG
- AI agents
- Java
- Spring Boot
- .NET
- C#
- Node.js
- TypeScript
- NestJS
- Python
- Django
- FastAPI
- Go
- PHP
- Laravel
- Symfony
- Ruby on Rails
- React
- Next.js
- Angular
- Vue.js
- React Native
- Flutter
- iOS
- Android
- PostgreSQL
- MySQL
- SQL Server
- MongoDB
- Redis
- Elasticsearch
- Kafka
- RabbitMQ
- Microservices
- AWS
- Azure
- GCP
- Kubernetes
- Docker
- Terraform
- CI/CD
- GitHub Actions
- Grafana
- Prometheus
- Security reviews
- OWASP ASVS
- Solidity
- Blockchain
How we work
One senior person, at your table
We agree the role, the schedule and who has the final say before starting. Anything outside that, like running delivery day to day, is added only if you ask for it.
When you propose something to them, they don't simply say yes. They come back with a pro and con.
How it works. From leadership gap to software on new tracks
Define the role
Tell us the decisions on your plate and who builds today. We agree what the CTO owns, what he advises on and how often he is with you.
Read everything
With AI he goes through the code, infrastructure, vendor contracts and roadmap in days. You get a written picture and the decisions that need attention first.
Fix and lead
He sets the architecture, cleans up the delivery process, checks vendors and runs hiring loops alongside your team. Every choice goes into the decision log.
Hand over when you are ready
When you hire a full-time CTO, they get the decision log, the architecture context and the open questions, including supplier commitments and work in progress.
Meet our fractional CTOs
Years of experience and many products shipped. Architecture and fintech, .NET, DevOps and AI.
Grzegorz
AI Native Fractional CTO
Years of experience and many products in production. DevOps, security, AWS and GCP, senior PHP.
Mariusz
AI Native Fractional CTO
Years of experience and many products shipped. Senior Java engineer and architect.
Artur
AI Native Fractional CTO
Years of experience and many products delivered. Leads our backend program: Node.js, .NET and Java.
Krzysztof
AI Native Fractional CTO
Years of experience and many products shipped. Backend, blockchain, AI and ML.
Andrzej
AI Native Fractional CTO
Proof, not promises
AI · FinTech
Taking over a crypto platform no one else could ship
PropTech · Platform
Rescuing a construction management platform after a failed first build
Questions about an AI-native fractional CTO
- No. We work in your repository, your cloud and the tools your team already uses. If one of them gets in the way of the work, we tell you what and why, and you decide.
- A call about the decisions you face. Then we agree a paid scope and schedule. The first weeks are a full read of your code, setup and plans, followed by ongoing work.
- We quote for the responsibilities and time you need, and you get the price before we start. Everything the role covers is listed in the scope.
- There is no preset hours package. We set the schedule around your decisions and your team, including how urgent questions get handled.
- Only if the scope says so. By default the CTO advises and decides on agreed topics, and your team keeps delivery. Everyone knows who approves and who builds.
- Yes. Our CTOs run technical interviews when we hire at Pirxey, and they can do the same for you, plus explain the technical plan to investors. Hiring decisions stay with you.
- For leadership work, yes. AI does the slow reading: whole codebases, logs, contracts, candidate tasks. The CTO spends his time on judgment. When the work turns into building, we bring in engineers from our 130+ and scope that separately.
- No. The advice and the decision log work for your own team or another provider. Any build work with Pirxey is scoped separately.
- They get the decision log, the architecture context and the open questions, including supplier commitments and work in progress. We plan the handover with them.
- These were product builds, not fractional CTO engagements, but the technical decisions were ours to make. On Signal Mesh the founders gave us genuine autonomy over technical decisions: we kept the Python services that worked and replaced what was broken or unsafe. On a New York construction platform we stepped into the empty product-owner seat and came to each meeting with a proposed answer and its consequences. On a US campaign-finance platform we pushed back when agreed flows did not survive business analysis, and reworked them before building.
How we think about this, in our own words
Interactive briefs and articles by our team, picked for this service
How much does an intelligent decision weigh?
Why every prompt, every accept and every “ship it” is a decision, and what a person needs to make hundreds of them a day.
Read the briefArchitecture is what the agent sees
How a few early architecture choices decide how safely people and agents can change your product later.
Read the briefThe Most Expensive Decisions in IT Are the Ones Nobody Officially Makes
Why a company without a CTO pays most for the decisions nobody officially makes.
Read the articleGive your next technical decision an experienced counterpart
Bring a vendor proposal, a hiring question or the architecture decision you need to make next. We will use it to define the support your company needs.
Direct contact
Mike KacprowiczBook a callChief Growth Officer