Data serving your project
We collect the data you need, structure its processing and build the tools required to make it genuinely usable by your teams or your clients.
- Web, API and file data acquisition
- A data architecture tailored to the business need
- Reliable, automated and controllable processing
- A complete system: data, backend, API and interface when required
From idea to production
- 01 You have an idea
A data requirement, a product or an operation to automate
- 02 We discuss it
A first conversation to understand the expected outcome
- 03 We frame the project
Feasibility, architecture, scope and risks
- 04 We build and test
Acquisition, processing, backend and interface
- 05 Your system goes live
Deployment, documentation and handover
PROJECT BENCHMARK
Broader market coverage. Fewer manual operations.
Illustrative simulation of a multi-source monitoring workflow after its data system has stabilized.
Manual processing
Sources covered
Data refresh
Manual corrections
Starting points
Multiple starting points. One shared objective
From data to use
We build the missing layers between your data and its intended use.
Each project uses only the stages required to reach the expected outcome.
- 01
Connect
Collect and retain data from public pages, APIs, files and authorized sources with explicit failure handling.
- 02
Structure
Normalize formats, preserve provenance, reconcile entities, remove duplicates and control data quality.
- 03
Enrich
Add official records, professional data, business rules, scoring, classification or AI when they improve the outcome.
- 04
Activate
Deliver through files, APIs, dashboards, alerts or a complete product built around the workflow.
- 05
Operate
Schedule, monitor, recover and maintain the system as external sources evolve.
Selected systems
Projects that go beyond data extraction.
Each example shows a different path from fragmented sources to a usable product or operation.
ChantierScan
A personalized tender monitoring product that removes irrelevant results and alerts users only when a real match exists.
- Sources
- Multiple public tender platforms
- Frequency
- Daily collection
- Delivered system
- Recurring pipeline, matching, accounts, subscriptions and email alerts
Collaboration modes
A clear role, matched to your project.
The selected campaign highlights one mode without hiding the other.
You keep the client relationship. We take responsibility for the data layer.
- Full white-label delivery
- Participation in client meetings
- Integration with your existing team
We turn your data requirement into a complete system.
- Collection and backend
- Business logic and interface
- Production deployment
- Optional maintenance
Method
Four stages, with risk addressed before scale.
Maintenance is offered after delivery when external sources justify it. It is never imposed.
Diagnostic
Clarify the business outcome, sources, users, budget and principal risks.
Feasibility
Test complex sources or assumptions before committing to an unreasonable build.
Construction
Build the collection, quality, business and product layers with acceptance criteria.
Production
Deploy, document, transfer access and define the optional maintenance path.
Direct accountability
The expert framing the mission is the expert responsible for the system.
Geo Lead Data Systems is a specialized studio led by Thomas Casale. Every engagement is directly scoped and delivered with the expert responsible for the system.
- One accountable contact
- Expertise directly involved
- Recoverable code
- Technical costs explained
- No forced maintenance
- Experience operating real products
FAQ
Questions before a first diagnostic.
Codex can accelerate a simple scraper and is an excellent implementation tool. The difference is responsibility for framing the right system: source feasibility, data model, quality controls, deduplication, deployment, monitoring, recovery and maintenance when sources change.
First diagnostic
Does your project depend on data that is difficult to use?
Let’s describe the sources, expected outcome and principal risks in an initial diagnostic.