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AI & Software Studio
Services 03

Software & SaaS

Tailor-made software on a modern stack, GDPR-native by default.

Sometimes the answer is not a model — it is software that fits the way your business actually runs. We build internal tools, customer-facing platforms and our own products, on a stack chosen for the next five years rather than the next demo. Hosted in Europe, designed around data protection from the first schema.

Starts with
Prototype
Timeline
Weeks
Pricing
Phased

What this service commits to

100%
Code ownership

Your repository from day one, on standard frameworks.

EU
Hosting & processors

Named in writing, with an agreement in place first.

0
Proprietary lock-in

Nothing in the architecture that only we can operate.

Day 1
Audit log & access control

Designed at the schema, not added for a questionnaire.

01Sound familiar?

You are probably here because of one of these.

  • 01A spreadsheet that has quietly become business-critical software.
  • 02Off-the-shelf tooling that fits 70% and fights you on the rest.
  • 03A legacy system nobody wants to touch and nobody can replace.
  • 04A compliance questionnaire you cannot honestly answer.
02What you get

What we actually build.

Software your team prefers to the workaround it replaced, running on infrastructure your legal team is comfortable with.

01

Software shaped around your process

Not a generic CRM with your logo. The screens follow the sequence your team already works in, so training is a conversation rather than a course.

02

GDPR-native architecture

Data minimisation, retention rules, role-based access, audit logging and deletion paths designed in at the schema level — not bolted on when the questionnaire arrives.

03

European hosting and operations

Deployed on EU infrastructure with documented processors, encrypted at rest and in transit, with a recovery plan that has actually been tested.

04

A codebase you could take elsewhere

Standard frameworks, readable structure, tests on the parts that matter, and documentation. No lock-in built into the contract or the code.

03Data protection

What GDPR-native means in the schema.

Personal data has a lifecycle whether or not anyone designs one. We design it, name the obligation each stage satisfies, and enforce it with jobs rather than policy documents.

EU boundarynamed processors only
  1. 01

    Collect

    Minimisation

    Only the fields the process actually needs. Every extra column has to justify itself at schema review.

  2. 02

    Classify

    Records of processing

    Personal data is tagged in the model itself, so an export or a deletion never depends on someone remembering where it lives.

  3. 03

    Use

    Access control

    Role-based permissions with an audit log. Who saw what, and when, is a query rather than an investigation.

  4. 04

    Retain

    Storage limitation

    A retention rule per data class, enforced by a job — not by a policy document nobody runs.

  5. 05

    Delete

    Erasure

    A tested deletion path, including backups and derived records. The request that arrives on a Friday is a button.

Nothing here is unusual — it is simply decided at the schema instead of during a questionnaire. That is the whole difference between GDPR-native and GDPR-compatible.

Bring us one software problem and we'll scope it live.

Free, 20 minutes, and you leave with a ranked shortlist either way.

04Build patterns

The shapes this usually takes.

Named patterns rather than a capability list, because the shape of the solution is what determines the cost and the risk.

01

Operations platform

One place where a case, an order or a client moves through its lifecycle, replacing the tool-plus-spreadsheet-plus-inbox arrangement it grew out of.

02

Customer portal

Self-service for the requests that currently arrive by email — status, documents, forms — reducing inbound volume without reducing service.

03

Product build

From first schema to paying users: architecture, billing, multi-tenancy, and the operational tooling a product needs on day one rather than month nine.

Typical stack

  • TypeScript
  • React & Next.js
  • Python
  • Postgres
  • EU cloud infrastructure
  • CI/CD & IaC
05How it runs

Same three steps, every time.

You can stop after any step and keep what has been built.

The full method

  1. 01

    Discover

    20 minutes

    A short call to find where AI has the biggest leverage in your business.

  2. 02

    Prototype

    Days, not quarters

    A working proof of concept, so you decide on evidence rather than promises.

  3. 03

    Ship & scale

    Weeks

    Production deployment, integration, and ongoing improvement.

06Frequently asked

Software, answered.

Something we have not covered? Ask us directly or mail hello@befzy.com.

Yes, in full, including during the build rather than on final payment. The repository is yours, the infrastructure accounts can be in your name, and we use standard frameworks specifically so another team could pick it up. Lock-in is a business model we would rather not have.

Personal data is identified in the schema, minimised at collection, given a retention rule and a deletion path, and access to it is role-based and logged. Processors are documented before they are used. It means the data-protection answer exists in the codebase, not in a policy document written afterwards.

Often, yes. We start with a short review that reports honestly on what is worth keeping — sometimes the answer is that a rewrite of one module is cheaper than maintaining all of it, and sometimes the existing system is fine and the real problem is elsewhere.

Your choice. We can hand over with documentation and a runbook, stay on for operations, or something in between. Whichever you pick, the deployment is reproducible and the monitoring is in place before launch rather than after the first outage.

07Also from the studio
Next step

Let's see whether software is your highest-leverage move.

A free 20-minute call, no strings attached. We will tell you where the leverage is — and where it is not.

  • No sales deck, no discovery invoice
  • You get a ranked shortlist either way
  • If AI is the wrong tool, we say so