Nouakchott, Mauritania · Geospatial & data engineering

From ground truth to decision.

Richat Data Science designs and runs the databases and geographic information systems that technical organisations depend on, turns what they hold into analysis and models, and trains the teams who keep it all running.

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Saharan geological landscape — AI illustration
Read the landscape. Reveal its potential.Geology · Earth observation · Spatial intelligence
Databases

Data models, geodatabases, migration, validation and day-to-day administration.

GIS design

Spatial data infrastructures, WebGIS platforms, satellite imagery and map production.

Data analysis

Statistics, spatial analysis and interpretation — turning a dataset into a finding.

Big data

Pipelines, automation, machine learning at scale, dashboards and decision support.

Geological modelling

Geostatistics, 3D modelling, block models and mineral resource estimation.

Training & support

Courses for technical teams, and continuing assistance once a system is live.

Field data collection with tablet and rock samples — AI illustration

FIELD → INFORMATION

Every observation becomes useful data.

Connect field observations, laboratory results and satellite imagery in a coherent geographic system. Traceable data supports maps, interpretations and decisions.

01 — Fields of activity

Six disciplines, one chain.

A model is only as good as the analysis behind it, the analysis only as good as the database beneath it, and the database only as good as the people who run it. We work across the whole chain rather than one link of it.

Ground truthField & laboratoryDatabaseStructured, validatedAnalysisStatistics, imageryModel3D, predictiveDecisionDefensible
Figure 1 — The geospatial data chain
Design and administration

Database design & management

From the data model to daily operation. We design the structure first, enforce the rules at the point of entry, and run the system afterwards if you would rather not staff it internally.

  • Relational and spatial data models
  • Enterprise geodatabases in PostgreSQL/PostGIS and SQL Server
  • Migration and consolidation of legacy and historical datasets
  • Validation rules, integrity constraints and QA/QC reporting
  • Scheduled loading, backup and administration
  • Exploration and geological databases, including DataShed
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Architecture and deployment

GIS design

Spatial data infrastructures built to be handed over: documented, standards-based, and operable by your own staff after we leave.

  • Spatial data infrastructure design and governance
  • WebGIS platforms and mapping applications
  • Satellite imagery processing, optical and radar (SAR)
  • Terrain, hydrological and watershed modelling
  • Cartographic production and map series
  • Metadata, catalogues and OGC-compliant services
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Method and interpretation

Data analysis

The step between holding a dataset and knowing something. Analysis is documented and reproducible, so a result can be re-run and defended rather than taken on trust.

  • Exploratory and descriptive statistical analysis
  • Spatial statistics, interpolation and geostatistics
  • Time series, trend and anomaly detection
  • Change detection from satellite imagery
  • Indicator frameworks and periodic reporting
  • Reproducible analysis in Python, with the code handed over
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Engineering at scale

Big data

Where the volume, the variety or the rate of change puts a problem beyond a desktop tool. We build the pipeline that turns raw input into something a decision can rest on.

  • Automated ingestion and processing pipelines
  • Large raster and vector processing at scale
  • Machine learning and deep learning on spatial data
  • Model training, validation and deployment
  • Dashboards and decision-support interfaces
  • Monitoring, early warning and alerting systems
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Subsurface and resources

Geological modelling

Drilling data turned into a defensible picture of what is in the ground — and an estimate that will survive review by a competent person.

  • Implicit and explicit 3D geological modelling
  • Wireframes, solids and cross-sections
  • Variography and geostatistical estimation
  • Block models and grade interpolation
  • Resource classification aligned with JORC and NI 43-101
  • Leapfrog, Micromine, Surpac, Datamine and Geosoft
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Capacity and continuity

Training & assistance

Two things usually treated as afterthoughts and should not be: teaching the team to use the system, and staying reachable once it is in production.

  • Intensive courses in French, Arabic and English
  • Curricula built around your own data, not sample datasets
  • On-site or remote delivery, certificate issued
  • Technical assistance contracts with agreed response times
  • System documentation and handover packs
  • Ongoing support for systems we did not build
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Why Richat

Four things you can take as given.

01

Standards-based

ISO 19115 metadata, OGC services, governance aligned with JORC and NI 43-101. Nothing proprietary, nothing that locks you in.

02

Remote by design

A GMT working day, overlapping West Africa, Europe, the Gulf, and the early morning in Western Australia.

03

Three working languages

Arabic, French, English. Reporting, training and documentation in the language your organisation works in.

04

A Mauritanian company

Local content for national procurement. Available as prime contractor or as the named partner in a consortium.

AREAS OF APPLICATION

Water, agriculture and the environment.

Geospatial expertise to understand territories, monitor resources and guide action.

Hydrology & water resources — illustration IA / AI illustration

Hydrology & water resources

Understand water flows and support the management of water resources.

  • Watershed delineation and drainage network mapping
  • Surface-water monitoring and flood-prone area analysis
  • Water-point databases and hydrological dashboards
WatershedOutlet
Conceptual diagram · no project data
Agriculture & land management — illustration IA / AI illustration

Agriculture & land management

Use satellite imagery and field data to monitor agricultural land.

  • Parcel mapping and agricultural land inventories
  • Crop monitoring, vegetation indices and field verification of anomalies
  • Mapping irrigated areas and supporting irrigation monitoring
Parcels · vegetation · irrigation
Conceptual diagram · no project data
Environment & ecosystems — illustration IA / AI illustration

Environment & ecosystems

Track landscape changes and provide spatial evidence for environmental management.

  • Land-cover mapping and change detection
  • Monitoring wetlands, vegetation cover and land degradation
  • Spatial support for impact assessments and restoration monitoring
Date 1Date 2Identify land-cover changes
Conceptual diagram · no project data

AI-generated photographic illustrations; these images do not depict client projects.

07 — What happens next

Three steps, about a week.

Step one

You write

Two or three lines is enough: what the data has to do, and when it has to do it. No formal brief required.

Step two

A short call

Twenty minutes to understand the systems already in place, the volumes involved, and who on your side owns the data.

Step three

A written scope

Scope, deliverables, response times and terms, in writing, within five working days. You decide from there.

Tell us what the data has to do.

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