Engineers of record for the AI era

Human-grade engineering for the machine age.

Alde is an engineering studio for the age of AI. Our senior engineers join your teams, or lead delivery as your partner, to build software and AI systems that are dependable, legible and entirely yours.

Plate I Attention, drawn by hand and by machine.
Plotted live in your browser · seed 0000

00Selected clients

Our engineers have built for banks, energy groups, pharmaceutical companies and consumer platforms, in environments where software is expected to be right the first time.

  • Roche
  • UniCredit
  • SumUp
  • Docler Holding
  • Eni
  • Sisal
  • illimity
  • Banca Ifis

01Thesis

A model is perhaps a tenth of an AI product. The rest is engineering.

Calling a model is easy. Making it behave on its hundredth day the way it did on its first is not. That takes evaluation, disciplined data, budgets for cost and latency, sound security, and a person who answers for every release. This is the work we have chosen to be good at.

12+
Average years of experience across our engineers
8
Enterprise groups across banking, energy, pharma and gaming
2 wks
Typical time from first conversation to a working team
100%
Of code, prompts and evaluations owned by our clients

02Services

Built for the AI era

Our practice covers the whole life of a modern software product. More and more of that life involves models, so that is where we have invested most deeply.

  1. 01

    Agentic systems

    Workflows in which models plan, use tools and hand over to people at the right moment. Durable orchestration, MCP servers and permissions that hold up to an audit.

    • MCP
    • Tool use
    • Orchestration
  2. 02

    LLM products & copilots

    Assistants and copilots placed inside the products your customers and colleagues already rely on, designed to be useful rather than merely impressive.

    • RAG
    • Conversational UX
    • Multimodal
  3. 03

    Evaluation & reliability

    Prompts treated as code: versioned, tested and measured. Evaluation suites, red-teaming, guardrails and regression gates in continuous integration.

    • Evals
    • Red-teaming
    • Guardrails
  4. 04

    Data & retrieval

    Pipelines that turn scattered enterprise knowledge into reliable context, with hybrid search, careful chunking and indexing that respects permissions.

    • Vector search
    • Knowledge graphs
    • ETL
  5. 05

    LLMOps & AI platforms

    Model gateways, routing, caching, tracing and cost control, deployed on-premise, in your VPC or on sovereign European cloud.

    • Inference
    • Observability
    • FinOps
  6. 06

    AI governance

    Readiness for the EU AI Act, risk classification, audit trails and model documentation, prepared together with your legal and risk teams.

    • EU AI Act
    • DORA
    • GDPR
  7. 07

    Product engineering

    Web, mobile and backend delivered with AI-assisted workflows. Shorter cycles, the same senior standards, and every line reviewed by a person.

    • Full-stack
    • Cloud
    • Mobile
  8. 08

    Modernisation

    Legacy systems mapped, documented and migrated with the help of AI tooling, and with human review wherever it matters.

    • Code migration
    • Refactoring
    • Cloud-native

03How we work

Inside your team, or beside it.

Some clients need senior people within their own teams. Others need a partner to take on the whole of delivery. Many begin with one and move to the other, and we make that easy.

I.

Embedded

Senior engineers, inside your team

Our engineers join as contractors and work within your rituals, repositories and roadmap from the first day.

  • Individual engineers or tech leads
  • Capacity adjusted month by month
  • Your direction, our engineering standards
Request profiles →

II.

Focused pod

A small team for one ambitious use case

A cross-functional pod that takes a single AI initiative from an open question to a production pilot in six to ten weeks.

  • A lead and two to four engineers
  • An evaluation suite as the specification
  • A pilot in production, not a demo
Scope a pod →

III.

Partner

Your principal delivery partner

We take responsibility end to end: architecture, delivery and operations, as one accountable team.

  • Product, engineering and operations
  • Milestone-based governance
  • Run and evolve, backed by SLAs
Discuss a partnership →

04Method

We measure before we ship.

Our delivery loop rests on a simple conviction: what cannot be measured should not be released. Every AI capability is defined by the tests it must pass.

  1. 01

    Frame

    Use case, data, risks and measures of success, agreed in writing before the first prompt.

  2. 02

    Prototype

    A working slice in front of real users within weeks, not quarters.

  3. 03

    Evaluate

    Reference datasets and automated evaluations become the living specification.

  4. 04

    Ship

    Guardrails, observability and rollback are part of the first release.

  5. 05

    Operate

    We watch quality, drift and cost, and the loop begins again.

05Principles

What we hold to.

  1. 01

    People remain accountable.

    Models assist our work; they do not sign it off. Every release has a named engineer behind it.

  2. 02

    Candour over comfort.

    When a model is the wrong tool for a problem, we say so, even when it costs us the engagement.

  3. 03

    Plain foundations, ambitious products.

    Proven infrastructure underneath, so that the ambitious parts can reach production.

  4. 04

    What we build is yours.

    Code, prompts, evaluations, datasets and documentation. No black boxes, no dependence by design.

  5. 05

    Experience, by design.

    We keep our bench small and senior, so that no client pays for anyone's apprenticeship.

  6. 06

    Independent of vendors.

    Claude, GPT, Gemini, Mistral or open-weight models: we choose for the problem, never for a commercial agreement.

06FAQ

Common questions

Do you only take on AI projects?

No. AI is where we have invested most, but our engineers build complete products across web, mobile, backend and cloud. Most of those products now include an AI layer, and that is where we add the most value.

What is the difference between contractor and partner?

As contractors, our engineers join your team and follow your direction. As a partner, we act as the principal development entity and take responsibility for architecture, delivery and outcomes. Many clients start with one model and move to the other.

How quickly can you start?

Usually within one to two weeks of an agreed brief. Our engineers are typically committing code within days of kick-off.

Which models and clouds do you work with?

All the leading frontier models, as well as open-weight models hosted in your own VPC or on European sovereign infrastructure. We work across AWS, Azure, Google Cloud and on-premise environments.

How do you handle sensitive data?

Least-privilege access, redaction of personal data, European data residency where required, and complete audit trails. Our engineers are used to the compliance standards of banking and pharmaceuticals.

Who owns the intellectual property?

You do, from the first line: code, prompts, evaluation datasets and documentation.

07Contact

Tell us what you are building.

Begin with a thirty-minute conversation with one of our engineers. You will come away with a candid view of feasibility, approach, and the team it would take.

Prefer email? Write to info@aldetech.id

We use these details only to reply to you.