The runway sets the deadline
Our factory case study describes a product launched 44 days after the first line of code. We use the scope to assess your launch target.
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Solutions for startups
A product in six weeks, built by the team behind our AI Software Factory
Founders need two things from an engineering partner: speed without a rebuild later, and a straight answer about what the money buys. Our AI Software Factory ships a working product in about six weeks for $60k–$150k depending on complexity, with documentation, tests and acceptance criteria written alongside the code.
- 130+People, remote across Poland
- 6 wksTo a working product, factory model
- 5.0Clutch rating from clients
This is for you if you have to show traction before the next round
You validated with a prototype, now you need the real thing
Keep what works, rebuild what breaks under real users and real data.
Investors will look under the hood
Code and infrastructure documented for an investor’s technical review.
You need help choosing the first release
Senior engineers who tell you what not to build yet.
A focused first release. Scope agreed before the build
How we work with startups
AI Software Factory
Agents help produce code and its checks under engineer review. We use the AI Software Factory model for a scoped first working version.
Fixed scope, price range
You know the price before we start and the split between what AI accelerates and what needs an engineer.
A stack you can hire for
Node.js or Fastify, React, PostgreSQL, Supabase, Vercel or AWS — mainstream, documented, no exotic lock-in.
Where founders lose months
Decisions to settle before the first release.
Build vs. prototype
Lovable, Cursor or Claude Code get you to a demo fast. We tell you which parts survive contact with paying users and which need a senior rebuild — before you launch, not after.
Data model and tenancy
Who owns which record, how customers are isolated, what is a plan limit — decided once, lived with for years.
What not to build yet
We review which features the first release needs to test the idea. Anything that can wait is kept out of the initial scope.
A founder-built MVP, taken to production
Signal Mesh’s founders validated their crypto intelligence idea with a prototype. Their sole developer later left.
The prototype validated the idea, but its database allowed any authenticated user to reach all the data. Its roughly 20 Python microservices also needed security work. We kept functional services, rebuilt the frontend and added the missing API layer. Critical access-control issues were addressed before go-live.
The platform went live in six months with a rebuilt frontend and secured API. The AI layer combines retrieval with semantic search; OpenAI, Claude and Grok were tested for the use case.
Pirxey provides you the full package - you can ask for data experts, you can ask for AI experts, you can ask for frontend experts, and you have everything. The communication was really great - more than that, it was amazing.
What you get. Six ways we help startups ship
AI Software Factory
A working product with tests and docs, $60k–$150k depending on complexity.
Prototype audit & hardening
What to keep from your vibe-coded version, what to replace, in a written list.
AI integration & RAG
RAG, agents and automations with cost control and evaluation.
Backend & API development
A documented backend your next engineer can work with.
Cloud infrastructure & DevOps
Deployment checks and monitoring, with infrastructure costs visible to your team.
Dedicated engineers
Senior engineers working inside your process while you build your own team.
How we work
A first release with an agreed scope
We set deadlines once the design is final, counted in working days, not as dates promised in a sales call. You hear about a problem from us, with options, while there is still time to choose.
They thought like product owners, not contractors.
How it works. From first call to a product users can pay for
Scoping call
What you want to achieve, by when, with what budget. We say on the call whether we are the right team, and what the smallest useful first step is.
Workshop & plan
A short workshop with your stakeholders: outcome, hard and soft deadlines, integrations, risks. You get a written scope, a price range and the split between what AI accelerates and what needs a senior engineer.
Build in increments
We build in deployable increments with code review and automated tests. You get a status daily at first, then weekly once trust is there. Scope lives in Linear; conversations happen in Slack.
Launch & grow
Monitoring, documentation and runbooks handed over, or a squad that stays. Either way the product can be operated without us.
Proof, not promises
AI · FinTech
Taking over and rebuilding a crypto intelligence platform
EdTech · AI
AI-powered medical tutoring for Elite Medical Prep
PropTech · Platform
Rescuing a construction management platform after a failed first build
What clients say
"Pirxey gave us the full package - frontend, backend, AI, and data - all under one roof, which meant we never had to coordinate multiple vendors. They thought like product owners, not contractors."
"What stayed with me was the communication. Fast, clear, and always with something concrete - a proposal, an update, a solution. We never had to wonder what was happening."
"Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare."
"When you propose something to them, they don't simply say yes - they come back with a pro and con. You're not getting a classic developer who simply does and then you have to fix the thinking yourself. If I had another AI idea and wanted to pursue it, I would just use Pirxey."
"Well… didn't know what to expect but honestly, now I'm learning much from you guys. Had no idea an external tech partner can be so pro and organized."
"Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare."
The people who ship MVPs
The fastest MVPs we shipped were the ones where the founder cut scope with us in week one. Our job is to make that conversation easy and honest.
Piotr
Delivery and squads
The fastest MVPs we shipped were the ones where the founder cut scope with us in week one. Our job is to make that conversation easy and honest.
Piotr
AI research and adoption
The fastest MVPs we shipped were the ones where the founder cut scope with us in week one. Our job is to make that conversation easy and honest.
Krzysztof
Architecture and APIs
The fastest MVPs we shipped were the ones where the founder cut scope with us in week one. Our job is to make that conversation easy and honest.
Wojciech
Interfaces and design systems
Questions founders ask before they start
- Our AI Software Factory range is $60k–$150k for a first working version, depending on complexity. We confirm what is included after scoping your release.
- Our AI Software Factory target is about six weeks for an agreed scope. Brief 018 documents one product launched 44 days after the first line of code. We confirm your delivery and demo dates after discovery.
- No. We audit it, keep the validated product logic and the parts that are safe, and rebuild only what breaks under real users — usually access control, data model and infrastructure.
- We prepare documented code and tests for a technical review. The investor sets the review criteria and decides the outcome; we can address technical questions and findings.
- Yes. Repositories, infrastructure accounts and documentation are yours from day one.
- Your choice: hand-over with runbooks, or a small squad that stays while you hire. No lock-in either way.
- We are a Poland-based remote team with overlap hours agreed at kick-off; US East Coast founders have worked well with afternoon overlap.
Scope your MVP
Discuss your project with our AI Architects. No commitment, just clear answers and a roadmap.
Direct contact
Mike KacprowiczBook a callChief Growth Officer