Prototypes that never reach production.
What was generated fast stays outside review, security and deployment. It never gets used.
AI by product phase · Build
The AI writes. The engineer signs.
We use agents for the mechanical work and senior judgement for what decides. No merge goes in without human review, no release ships without tests. That is how the timeline compresses without inheriting debt.
Speed with no system.
Hidden debt.
Deliveries with no tests and no documentation. The next team starts from zero.
Supplier dependency.
With no access to the repository or the infrastructure, every change goes through the till.
Four concrete deliveries.
Deliveries every one or two weeks, on your infrastructure, with the team watching real progress.
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01
Development with supervised agents
The agents produce code and tests; the engineer reviews, corrects and signs every merge.
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02
Tests and an agreed threshold
Unit, integration and end-to-end. The pipeline blocks the deploy if coverage drops.
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03
CI/CD on your infrastructure
Vercel, AWS, GCP or self-hosted. Automated deployment from day one.
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04
Your repository from day one
Code, history and licence clear. No lock-in, no conditional access.
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Complete repository
Owned by the client, clean history, no opaque dependencies.
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Pipeline with tests
Run on every commit, with a minimum threshold in writing.
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Living documentation
README, architecture and runbook updated on every release.
What it is built with.
Before you call us, read this.
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How much does custom software cost for a company? Real ranges and what it depends on
The question always arrives the same way: "how much would it cost me?". And the honest answer is "it depends", but it depends on concrete, measurable things. These are the real ranges for custom software in 2026 and the factors that genuinely move the budget.
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Signs your company needs custom software (and not another spreadsheet)
A spreadsheet does not fail all at once: it gets too small little by little. Copy-paste errors, "the good version", information in one person’s head, hours repeated every week. These are the concrete signs it is time to move to custom software, and when it still is not worth it.
- Discovery Which problem deserves software and which does not.
- Design Architecture, flows and data model before the code.
- The AI inside Agents and models integrated where they multiply.
- Validation Security, performance and accessibility before shipping.
- Operation and scale Live, measured and with the internal team in charge.
Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.
Let's start
Let's talk about your operation.
Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.
contacto@plantekia.com