Data expertise, with no agency standing between you and it.

Data engineering, analytics, AI, and automation for organizations that want results rather than recommendations.

Book a free diagnostic

30 minutes, no commitment. You leave with an action plan, whether or not we end up working together.

DATA ENGINEERING - ANALYTICS & BI - ARTIFICIAL INTELLIGENCE - FORECASTING - AUTOMATION

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THE SITUATION

Your data already exists. It is not working for you.

Exports reworked by hand every week. Information spread across a CRM, three spreadsheets, and an inbox. Decisions made on figures that are a month old. And AI, which everyone is talking about, stays a promise until the data underneath it is reliable.

WHAT I DO

Five ways to put your data back to work

  • 01 / DATA ENGINEERING

    Your data is scattered across too many tools

    Architecture, ETL/ELT pipelines, data warehouse, connectors to your business tools. Reliable, documented infrastructure that holds up as the business grows.

    See details
  • 02 / ANALYTICS & BI

    You decide without visibility into your own business

    Interactive dashboards, business metrics, automated reports. Reporting stops being a monthly chore and becomes something you actually run the business on.

    See details
  • 03 / ARTIFICIAL INTELLIGENCE

    Your internal knowledge is unusable

    Business assistants, document search (RAG), agents. AI plugged into the data you already have, without rebuilding what already works.

    See details
  • 04 / FORECASTING & DATA SCIENCE

    You absorb demand instead of anticipating it

    Sales forecasting, inventory sizing, anomaly detection. Your historical data finally does more than confirm what already happened.

    See details
  • 05 / AUTOMATION & AI AGENTS

    Your teams repeat the same motions every week

    Custom workflows, embedded agents, connectors between systems that never spoke to each other. What repeats no longer has to be done by hand.

    See details

WORK

What I am working on

One client project getting underway and two products built in house. The latter are not theoretical demonstrations. They are complete systems, built from architecture through to deployment.

  • RETAIL & FASHION

    Getting underway

    Structuring a Data & AI platform

    A French ready-to-wear company is putting a data architecture in place, so that business data becomes usable and future analytics and AI work has something to stand on.

    Scope under consideration: structure the existing sources, design the architecture, automate part of the flows, and build decision support tools.

    • Supabase
    • PostgreSQL
    • Shopify
    • Python
    • SQL
    • API
    • AI
  • R&D DAL BELLO / FORECASTING

    Predict sales instead of recording them

    Better Forecast combines revenue and footfall history with rain, temperature, wind, school holidays, public holidays, local events, season, and promotions.

    Accuracy is not the only concern. Forecasts have to stay explainable, so a team can use them without taking a black box at its word.

    • Python
    • FastAPI
    • PostgreSQL
    • Supabase
    • Chart.js
    • AI
    10
    business variables integrated
  • R&D DAL BELLO / TRAVEL TECH

    Live demo

    Where to surf three months out, when no forecast exists

    Nalu combines four years of swell climatology with airfares departing from Paris, and ranks twenty spots along an adjustable quality/price slider.

    Beyond the subject itself, the point is to answer with a measured probability where the data is missing, and to publish the model's errors rather than keep quiet about them.

    • Python
    • polars
    • ERA5
    • Pydantic
    • Streamlit
    • Plotly
    20
    sourced spots
    240
    spot × month pairs
    701 280
    cached swell hours
    Read the case study

HOW IT WORKS

Three steps, nothing left vague

  • STEP 01

    We look at your data together

    Thirty minutes to understand your context and work out what is feasible right away and what is not. You leave with an action plan, even if we go no further.

  • STEP 02

    A detailed proposal before anything starts

    A written scope, identified deliverables, and pricing set against that scope. You know what you are committing to before you commit.

  • STEP 03

    I run the engagement, nobody else

    From architecture to deployment, the same person designs and delivers. No handover to a team you have never met.

WHO YOU WILL BE TALKING TO

Pierre-Angélo Jubé

I founded dal bello on a simple conviction: companies often hold valuable data, but rarely have solutions genuinely suited to how they work.

I design data infrastructure, automations, and applications built around artificial intelligence, with a product mindset. The point is to turn a business need into a tool that is reliable, understandable, and usable by teams straight away.

I work on every engagement personally, from architecture design through to development and deployment.

The questions I get asked before signing

How is pricing calculated?

Every project starts with a conversation to understand your goals and your technical environment. A detailed proposal is then drawn up against the agreed scope, with clear and transparent pricing.

When can we see the first results?

Depending on the project, a first working version or an initial deliverable is usually ready within a few weeks, so the technical choices and the direction can be checked early.

What happens to my data?

Your data stays strictly confidential and is used only for your project. The architectures put in place favor security, traceability, and respect for your technical constraints.

Who owns the work that gets built?

What I build for your company belongs to your company. Intellectual property and maintenance terms are set out transparently from the start of the collaboration.

Thirty minutes to find out whether your data can work for you

A conversation, with no commitment and no sales pitch. You leave with an honest read on what is feasible where you are, including being told that now is not the right time.

Book a free diagnostic

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