Service 06
Data Science & Analytics
From messy spreadsheets to production models: we build the pipelines, analysis, and dashboards that turn your data into decisions.
We turn raw and messy data into pipelines, models, and dashboards your team can actually use. This has ranged from computer-vision models that read architectural blueprints, to reporting dashboards that give operators a real-time view of their business.
What's Included
- Data pipeline design, cleanup, and automation
- Predictive models and statistical analysis for specific business questions
- Computer vision and image/segmentation models where relevant
- Reporting dashboards built for daily use, not one-off reports
- Data annotation and model training workflows
- Coordinate transformation and geometric/spatial data processing
- Ongoing model monitoring, retraining, and improvement
How We Work
- Discovery: identify the question the data needs to answer
- Pipeline: clean, structure, and automate the data flow
- Model: build and validate the analysis or ML model
- Dashboard: surface results in a usable, daily-use interface
- Support: monitor and retrain as data and needs evolve
Frequently Asked
Our data is messy. Is that a problem?
That's the normal starting point. Pipeline design and cleanup is usually the first phase of the engagement, not a blocker to starting.
Can you build computer vision models, not just dashboards?
Yes, we've trained instance segmentation models to read architectural blueprints, alongside more typical predictive and reporting work.
Do you maintain the models after delivery?
We can. Models drift as real-world data changes, so ongoing monitoring and retraining is available as part of the engagement.
What kind of data sources can you work with?
Spreadsheets, databases, images, blueprints, APIs: if it can be structured or extracted, we can build a pipeline around it.
Do we need to already have clean, labeled data?
No, data cleanup and annotation (for example, labeling training imagery) is often part of the engagement itself, not a prerequisite.
Can you turn our data into a dashboard our team actually uses?
That's the goal: we build reporting interfaces meant for daily use, not static one-off reports that get opened once and forgotten.
- Businesses sitting on data they aren't using effectively
- Teams needing a specific predictive or computer-vision model built
- Products that need operational dashboards and reporting
- Companies wanting ongoing analytics support, not a one-time report