Mello Engine
Automated processing and publishing of CAD, BIM and GIS files to ArcGIS Online.
Our role: Platform design and development.
Automation and integrations
Repeated data preparation, manual exports and copy-paste between systems are slow and error-prone. We automate those workflows and connect GIS to the rest of your business systems.
Discuss a data automation project
See it in practice Mello Engine: Automated processing and publishing of CAD, BIM and GIS files to ArcGIS Online.
Review note: Confirm Kafka, Databricks and Selenium reflect delivered work.
The problem
Teams spend hours each week converting formats, validating edits and moving data between CAD, GIS, spreadsheets and business systems.
Manual steps introduce errors and make it hard to keep maps current.
Our approach
We map the existing workflow, identify the steps worth automating, and build pipelines with clear logging and failure alerts so someone knows when a run goes wrong.
Integrations use documented APIs where they exist. Where they do not, we use scheduled jobs, message streams or browser automation.
What you get
- FME workspaces for format conversion and data validation
- Python and ArcPy automation scripts and scheduled jobs
- APIs connecting GIS with ERP, CRM, SCADA and asset systems
- Streaming pipelines with Kafka
- Data processing on Databricks
- Browser automation with Selenium where no API exists
Is this the right fit?
Confirm fit guidance matches the projects you acceptA good fit when
- The same data preparation or publishing steps are done by hand every week.
- Data moves between CAD, GIS, spreadsheets and business systems by copy and paste.
- Published layers fall out of date because updating them is slow.
What we will need from you
- A walkthrough of the current workflow and sample input files.
- Access to source and destination systems or their APIs.
- A named person to receive failure alerts.
What shapes scope and price
- Number of formats and systems involved.
- How often the job runs and how fast it must finish.
- Validation rules and what happens when data is wrong.
- Where the jobs will run.
We do not publish fixed prices because these factors vary widely. After a first conversation we send a written proposal with scope, milestones, acceptance criteria and cost, so you can compare like for like before committing.
Where it is used
- CAD to GIS
- Convert engineering drawings into validated GIS layers on a schedule.
- Live data on maps
- Stream sensor or telemetry readings into dashboards.
- Nightly QA
- Run topology and attribute checks automatically and report the exceptions.
- System sync
- Keep asset records consistent between GIS and maintenance systems.
Technology
- ETL
- FME, Python, ArcPy
- Data platforms
- Databricks, Kafka
- Automation
- Selenium, REST APIs
Related work
Urban heat explorer
Orbit3Labs
Surface urban heat island values for major cities worldwide, on one map.
Our role: Web GIS application and data processing.
Questions
Industries: Utilities, Oil and gas, Telecom
What happens when an automated job fails?
Each pipeline we build logs its runs and alerts a named person on failure. We agree in advance what should happen when input data is wrong.
Can automation run on our servers?
Yes. Jobs can run on your infrastructure, in the cloud, or on FME Flow if you already use it.
Spending hours on repeat data work?
Tell us what you are trying to achieve. We will reply with questions and a suggested first step.