Environmental expertise, built on a geospatial & data foundation.
EnviroLattice was founded to close the gap between environmental science, spatial technology, and modern data engineering — so environmental decisions are backed by evidence that is easy to trust and easy to act on.
Environmental decisions deserve better data infrastructure
Too often, environmental assessment, spatial analysis and data reporting happen in silos — a field team collects data, a GIS analyst maps it, and a separate report writer summarizes it weeks later. EnviroLattice was built around a different model: one team that understands environmental science, geospatial methods, and the automation needed to keep all of it fast, consistent and defensible.
We work as an international consultancy — supporting environmental consultancies, development and infrastructure projects, research initiatives, and organizations that need rigorous spatial and environmental data work without building an in-house team from scratch.
360°
Field, spatial & data expertise under one roof
Python
Automation-first delivery, not one-off spreadsheets
Global
Remote-first, international engagement model
Growing
Expanding into climate & sustainability advisory
Founder & Principal Consultant
Ferdousi Sultana
Founder & Principal Consultant
Ferdousi leads EnviroLattice's technical practice, working across environmental assessment, GIS, remote sensing and Python-based data automation. Her background bridges environmental science with applied geospatial technology — building the spatial datasets, monitoring workflows and analytical tools that environmental teams rely on for defensible, decision-ready reporting.
She works directly with clients on project scoping and technical delivery, and leads EnviroLattice's growing focus on automation and reproducible geospatial workflows.
[email protected]Our values
Scientific rigor
Methods that hold up to technical review, not just visual polish.
Geospatial precision
Spatial accuracy and reproducibility in every dataset and map.
Data integrity
Traceable QA/QC from raw data through to final reporting.
Global perspective
Standards and practices that translate across countries and sectors.
Practical automation
Tools built to be reused, not thrown away after one project.
Clear communication
Technical findings translated for the people who must act on them.
A consistent, four-step process
Scope & discovery
Define objectives, data sources, and the decisions the output needs to support.
Data & field integration
Bring together field, satellite and secondary data into one consistent structure.
Analysis & modeling
Apply spatial analysis, statistical methods, and automated processing pipelines.
Reporting & decision support
Deliver clear maps, dashboards and reports built for the audience that will use them.