Inflated budgets.
Technology consultancies charge for coordination hours, not for product. A project that needs 6–10 people in a traditional structure, we close with 2–3 senior engineers and internal tooling that multiplies their output.
Service · Custom software
Custom software for your real operation.
Internal applications, SaaS platforms and tools for your team. Designed for your operation, not for a demo. With the AI systems that power them built in — agents, automation and analysis where they multiply, and left out where they get in the way.
Slow suppliers, code that ages badly.
Endless timelines.
Six months for an MVP. A year for the full product. By the time it reaches production the requirements have already changed and it needs refactoring.
Code that does not survive.
Deliveries with no tests, no documentation, with hidden debt. The next team does not understand the project and starts from scratch. The money spent does not compound.
Five phases. Human judgement, accelerated delivery.
We follow the Plantekia method: discovery, design, build, validation and handover. In every phase the engineer signs off judgement and review; the internal tooling (agents, generators, automated tests) handles the mechanical work. The result is a compressed timeline without losing quality.
-
01
Discovery
Interviews, data analysis and measurable objectives. The AI agent synthesises; the human decides which problem is worth solving.
-
02
Design
Technical architecture, UX flows, data model. Variants generated by agents, validated against your real context.
-
03
Build
Development in dedicated branches. AI agents produce code with automated tests; a human engineer reviews and signs off every merge.
-
04
Validation
Functional testing, security audit, performance and accessibility. No release ships without human approval.
-
05
Handover
Deployment on your infrastructure, living documentation, transfer to the internal team, an agreed maintenance plan.
Everything that stays with you.
The complete repository
Code owned by the client, clean history, clear licence. No lock-in. You can take it wherever you want from day one.
CI/CD pipeline
Automated deployment to your infrastructure (Vercel, AWS, GCP or self-hosted). Tests run on every commit.
Living documentation
README, architecture, technical decisions (ADRs) and an operational runbook. Updated by AI agents on every release.
Test coverage
Unit, integration, end-to-end. A minimum threshold agreed in writing. The pipeline blocks deploys if it drops.
Technical handoff
Sessions with your internal team. They are left with real operational capability, not a black box.
Post-launch support
Optional evolutionary maintenance agreement. Monitored, measurable, cancellable without penalty.
- 4–8 wks Working MVP, committed in writing
- Fixed Priced by scope, no open-ended hours
- 100% Code and documentation owned by the client
Our own products, not slides.
To decide with judgement.
-
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.
-
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.
-
9 mistakes when hiring custom software development (and how to avoid them)
Custom builds go wrong for almost always the same reasons: choosing on price, not insisting on owning the code, going in with vague requirements. These are the 9 most expensive mistakes and the concrete questions to avoid each one before signing.
What people ask us.
-
01 What stack do you use?
We choose by problem: TypeScript + Next.js/Vite for web, Python + FastAPI for analytical backends, Go where performance demands it. Postgres as the standard, ClickHouse when there is heavy analytics. Full detail in /metodo/.
-
02 How is the project cost calculated?
It depends on scope and technical complexity: number of integrations, data volume, performance requirements, and whether there is an existing product or we start from zero. We close a fixed price for an agreed scope, not by the hour. Scope changes are renegotiated with a clear ticket. For a concrete number: 30-minute diagnostic.
-
03 What if the requirements change halfway through?
We review scope and cost immediately. Incremental deliveries every 1–2 weeks keep the risk low: if something changes, we fold it into the next cycle without throwing work away.
-
04 Is the code mine in the end?
From minute one. The repository lives in your GitHub/GitLab organisation. We hand over a full commercial licence, with no hidden dependencies or proprietary SaaS that makes us indispensable.
-
05 Do you do maintenance after launch?
Yes, optional. A monthly agreement with agreed hours, a response SLA and release windows. Cancellable without penalty on 30 days’ notice.
-
06 Can I hire you for one part only (backend, say)?
Yes. We specialise in full-stack projects, but we take one-off engagements if the scope is clear and there is a mature team on the receiving end.
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