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Data · Automation · Technical delivery

Technical delivery,without expanding
your team.

IGX Studio is the engineering layer behind agencies and businesses — data pipelines, automation, integrations, dashboards and internal tools, built to spec and delivered under your brand.

White-label
delivered under your brand
Fixed scope
quoted before anything starts
Async by default
written specs, not standing calls
CRMAPIsDatabasesWeb dataDashboardsReportsAutomationsInternaltoolsIGX STUDIOINGEST · BUILD · DELIVER
Capabilities

Six problems. One delivery partner.

Grouped by the kind of problem, not by the tool. Most projects land on two or three of these at once — that is usually where things break down with a single freelancer.

01

Automation

The recurring work your team keeps doing by hand, running on its own.

  • Workflow automation
  • Robotic process automation
  • Reporting automation
  • Internal process design
  • Custom business workflows
02

Data Engineering

Pipelines built to survive production, not just the first demo.

  • Data pipelines
  • ETL / ELT
  • Data processing
  • Data integration
  • Data migration
  • Cloud data infrastructure
03

Business Intelligence

Reporting people actually open, with numbers they can defend.

  • Dashboards
  • Automated reporting
  • Data visualization
  • Business metrics modelling
  • Decision support systems
04

Integrations

Systems that stop living in isolation and start exchanging data.

  • API development & consumption
  • CRM integrations
  • System-to-system sync
  • Third-party platforms
  • Custom connectors
05

Data Collection

Data that has no export button, collected on a schedule you control.

  • Web scraping
  • Data extraction
  • Data enrichment
  • Automated collection pipelines
  • Monitoring & change detection
06

Custom Solutions

Software shaped around how the business already works.

  • Internal tools
  • Custom applications
  • Operational systems
  • Client-facing utilities
  • One-off technical projects

Not on the list? If it involves moving, transforming, connecting or automating data, it is probably still in scope. Send the requirement and you will get a straight answer either way.

For agencies

Expand what you can sell. Without expanding your team.

Take on the data and automation work you currently refer out — or quietly decline — and keep the margin inside your agency.

01

Client

Brings the problem

A reporting mess, a manual process, an integration nobody ever built.

02

Your agency

Owns the relationship

You scope the value, set the price and stay the only name on the account.

03

IGX Studio

Builds it

Technical review, development, testing and documentation — off-stage.

04

Delivery

Ships under your brand

A working system, documented and handed over as your team's work.

Client-facing layer · Your agency

Delivery layer · IGX Studio

You sell it.
We build it.

Your client never sees a subcontractor. They see your agency delivering something it did not deliver last quarter.

White-label partnership

  • White-label by default

    No IGX branding, no direct contact with your client unless you ask for it.

  • No hiring, no overhead

    Technical capacity that appears for a project and disappears afterwards.

  • Project by project

    Priced per scope. Nothing recurring, nothing to cancel later.

  • No minimum commitment

    One small automation is a perfectly reasonable first project.

How it works

From a messy brief to a delivered system.

Five steps, mostly in writing. No discovery calls, no proposal theatre, no invoice before the scope is clear.

Working with IGX directly, without an agency in between? Same process — step 03 is simply your quote instead of a partner quote.

  1. 01You

    Send the requirements

    A brief, an email thread, a recorded walkthrough or a messy list of what the client asked for. Rough is fine.

  2. 02IGX

    Technical review

    Scope, approach, dependencies and risks, mapped in writing — including what should be cut before it becomes expensive.

  3. 03IGX

    Partner quote

    Fixed scope, fixed price, clear timeline. You set your own margin and quote your client however you like.

  4. 04IGX

    We build

    Development, testing and documentation, with written progress updates you can forward without editing.

  5. 05You

    You deliver

    Source, credentials, documentation and a recorded handover. Your brand on the work, start to finish.

Working method

Async by design.Less meetings. More building.

Projects run on written specs, recorded demos and documented decisions instead of standing calls. Time zones stop mattering, context stops getting lost, and most of the week points at the actual build.

  • Structured written briefs

    Requirements captured once, in a form both sides can point back to.

  • Screenshots and recorded walkthroughs

    Faster than a call, and they survive after the call would have ended.

  • Documented decisions

    Assumptions, trade-offs and open questions written down as they happen.

  • Progress updates you can forward

    Written for your client, so you rarely have to rewrite anything.

Project threadWritten record
  1. Day 01Requirements receivedStructured brief + source access
  2. Day 02Technical review postedScope, risks, open questions
  3. Day 03Partner quote sentFixed scope · fixed price
  4. Day 07Build updateIngestion + transforms running
  5. Day 12HandoverDocs + recorded demo

Illustrative timeline · real schedules follow the scope

Calls are not banned — they are just not the default. When a project genuinely needs one, it happens with an agenda and a written summary afterwards.

Igor Gomes, founder of IGX Studio
Igor GomesData & Automation Engineer
Who you are working with

Built by an engineer,not a sales team.

IGX Studio is led by Igor Gomes, a data engineer working across data platforms, pipelines and automation — the layer between raw systems and the numbers a business actually runs on.

Every brief is reviewed, scoped and built by the same person who answers your email. Nothing gets handed to a junior, and nothing gets quoted before the technical approach is clear.

The method is deliberately unglamorous: understand the real problem, choose the simplest architecture that survives production, document it, and hand it over so it keeps running without its author.

  • Data engineering
  • Python & SQL
  • Cloud (AWS / Azure)
  • Pipelines & ETL
  • APIs & integrations
  • BI & reporting
Technology

Tools are evidence, not the argument. The stack is chosen per project — these are the ones that come up most.

  • Python
  • SQL
  • AWS
  • Azure
  • Spark
  • Databricks
  • Airflow
  • dbt
  • APIs
  • Docker

Your next technical projectdoesn't require another hire.

Send the requirements and you get a technical read and a fixed-scope quote — not a discovery call.

  • What to build
  • Systems involved
  • Timing