Data consultancy and in-house products

Data that never becomes a decision is a cost, not an asset

We organise the data of those who decide by gut feeling, and we optimise the environment of those who spend too much and wait too long.

Take the free diagnostic See our products

3 minutes of questions, result on screen. No sign-up needed to see it.

> where_you_come_in

Where are you today?

Pick the sentence that matches your situation and go straight to what solves it.

Small business, no data team

“My data lives in chaos and I decide by gut feeling”

Spreadsheets everywhere, customers on WhatsApp, every report showing a different number. You build the foundation and start deciding with real numbers.

See how we organise it

Already has a data team

“My data environment is expensive and keeps stalling”

Cloud bill climbing, processing windows overrunning, the business waiting. You see exactly where the waste is before approving any change.

See how we cut cost

Prefers product to project

“I want a solution running for me”

Instead of hiring a project, you get a product that already works, or have your own built, with infrastructure and deployment included.

See the products

> diagnostic

Before proposing, we measure

Consultants who show up with a ready-made solution are selling what they know how to do, not what you need. There are two diagnostics: one you run now on your own, the other runs inside your environment.

Free · 3 minutes

Quick diagnostic

A dozen questions in your own words: one path for those without a data team, another for those who already have one. The result appears on screen, no sign-up.

Your data usage index, from 0 to 100
Your number 1 bottleneck among foundation, decision-making, cost and capacity
An estimate of what disorganisation costs you today, in hours or in money
The recommended first step and a 90-day plan

Start now

Inside your environment

Full diagnostic

Here we enter your environment with agreed scope and permissions. It is not about running a slow-query report, it is about understanding the design, measuring it and simulating the change before touching production.

A read of real consumption: where the bill grows and which queries are heaviest
Analysis of modelling, partitioning and what is blocking your pipelines
An architecture proposal prioritised by return, not by preference
Proof of concept and simulation before any change reaches production

Talk about my environment Before that, see how we access your environment

We use our own AI agents to speed up the repetitive part of the investigation: data collection, metadata reading and scenario comparison. The technical reading and architecture decisions are human, made by whoever signs the project.

> services

Four ways to work with us

Each offer states what you get and in what format. Proposals on request, always with fixed scope and price agreed before day one.

No data team

Data foundation: from spreadsheet to a base built to grow

For whoever runs the whole business and decides from memory.

What you get

Spreadsheets, WhatsApp, ERP and e-commerce in a single source of truth
Sales, cash flow and operations dashboards that update themselves
A base ready for the business to double in size without rebuilding everything

Base and dashboards delivered in stages.

Already has a data team

Cost and performance: lower bill, faster pipelines

For CTOs, Heads of Data or CFOs watching the cloud bill climb.

What you get

Waste quantified and prioritised by return
Query and pipeline refactoring: less time, less cost per run
Governance so the savings do not disappear the following month

Refactoring only starts once you have seen the number.

Team or individual

Mentoring and hiring: a higher level, the right hire

For whoever leads a small team, and for the engineer who wants to move from mid-level to senior.

What you get

Review of your real code and architecture, with every decision explained
AI used at work with a defined standard, not improvisation
Technical interviews conducted by someone who actually does the job

Weekly or fortnightly sessions, one-to-one or with the team.

Already has a data team

Data platform: pipelines, lakehouse and governance

For teams that need reliable architecture, ready for AI.

What you get

Pipelines, lakehouse and modelling, versioned and tested
Multi-cloud with Snowflake, Databricks, dbt, Airflow and Spark
Quality and governance from day one

Project delivered in milestones, with something working at the end of each one.

> products

Instead of hiring a project, take a product

Lia is already live with a real customer today. The other two are under construction, and any of them can become the base for your own, built to measure.

Live

Lia

Connects your ad to the customer who converts

Every contact logged in 30 seconds from a phone, an organised funnel, and a weekly report showing which source brings the customers who actually convert. For any business that deals with customers.

See details

Under construction

AI Pack

Build the squad of agents you need

You describe the team you would need to hire, and you get a configured, productised squad of agents, ready to work, with infrastructure included.

See details

Under construction

BeGoal Trail

A learning app for any subject

Tracks, levels and progress to teach whatever you want: internal team training or a learning product for your audience.

See details

Bespoke data product

Got a specific problem that no off-the-shelf tool solves? We design and build the product from scratch, with infrastructure and deployment included.

I want mine

BeGoal is new as a brand, and this is what we can prove today. The twelve years before this happened inside other companies, under confidentiality: what we brought from that is method, not someone else’s logo on display. A case with real numbers goes up when the client authorises it, not when it suits the copy.

> how_we_work

Foundation before volume

A new dashboard on top of a crooked foundation does not become a decision. We start with the foundation, and the path is always the same, from the first contact to the number compared at the end.

Diagnostic

We measure before we opine: where the data lives, what it costs and what is blocking it.

Fixed proposal

Scope, timeline and price defined before day one, along with the number that should change.

Build

Whoever investigated is who delivers. You follow every milestone, no black box.

Measurement

We compare against the number from the start and hand over documentation for your team to carry on.

When a result cannot be measured, we say so in the proposal instead of promising it.

> who_is_accountable

Jonathan Nascimento

Founder and lead engineer

14 years in technology, 12 of them in data. I have done projects and consulting work for more than 15 companies, across quite different business models, and the pattern kept repeating: the data existed, but it never reached the person who needed to decide in time.

The job is finding where the cost is hiding, why the pipeline is late, and what needs to change in the base for the business to trust the number. I have done this in small setups, with one person handling everything, and in large operations, with a full team and governance. BeGoal exists to do this without a middleman: whoever talks to you is who investigates and who delivers.

Computer engineer, MBA in project management, and currently completing a master’s in artificial intelligence applied to data engineering, researching pipeline optimisation.

See the track record on LinkedIn

Tools we work with day to day

AWS

Google Cloud

Azure

Databricks

Snowflake

BigQuery

Redshift

Apache Spark

Airflow

dbt

Kafka

Terraform

AWS

Google Cloud

Azure

Databricks

Snowflake

BigQuery

Redshift

Apache Spark

Airflow

dbt

Kafka

Terraform

Power BI

Tableau

Looker

PostgreSQL

SQL Server

Oracle

MySQL

MongoDB

Redis

Cassandra

Elasticsearch

Python

Power BI

Tableau

Looker

PostgreSQL

SQL Server

Oracle

MySQL

MongoDB

Redis

Cassandra

Elasticsearch

Python

> faq

Frequently asked questions

No. We are a data engineering company. AI is a tool: it speeds up our investigation and it is the raw material behind our products. What we deliver is reliable data and decisions you can actually make. If your problem can be solved without AI, we solve it without AI.

Proposals are on request, always with fixed scope and a price agreed before we start. We do not work on open-ended hourly billing or staff augmentation. The quick diagnostic on the site is free, and the full diagnostic is included in the proposal.

The diagnostic already brings clarity in the first few weeks: where the waste is, what is blocking progress and what to prioritise. From there, every project milestone delivers something working, so you can measure the effect before moving to the next one.

Minimal, read-only access at first, an NDA before the first credential, your data staying in your own cloud, and nothing from your base ever going into an AI model.

See the six access rules

No. We work with what you already have, whether that is AWS, GCP, Azure, BigQuery, Snowflake, Databricks, dbt, Airflow or PostgreSQL, and we only change what is necessary to unlock the result. Replacing your stack is always a last resort.

Yes. We run technical and behavioural interviews in your context and on your stack, and deliver a seniority assessment. The evaluation is done by someone who actually does the job, not from a generic script.

For those looking for the cheapest vendor, for those who want a pretty dashboard without touching the crooked base underneath it, and for those who need staff filling a seat for an indefinite period. We work with fixed scope and a problem actually solved.

Start with the diagnostic, not the proposal

Three minutes to find out where your biggest bottleneck is. If you would rather get straight to the point, tell us about your context by email and we will reply with a clear way forward.

Take the free diagnostic Talk by email