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Charts that answer back
Bar, line, scatter, heatmap and treemap, with tooltips, zoom and drill-down. Responsive, and honest about scale.
Build · Data Visualisation App Development
Data nobody can read is data nobody acts on.
When a chart drives a decision, a misleading one is worse than no chart at all.
Overview
A dataset is only useful when the people who must act on it can read it. We build visualisation applications that turn volume into something explorable (filter, drill down, find the thing that matters) without writing a query. Built on D3.js, Chart.js and WebGL, accurate to the figure, and clear about what it does not show.
What it includes
The work, named plainly.
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Live, where live matters
Visualisations bound to streaming sources over WebSockets or polling, current to the latest figure.
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Built for your domain
Bespoke chart types and visual metaphors where the off-the-shelf library cannot say what your data means.
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Out the door, intact
One-click export to PDF, PNG and CSV, scheduled reports and embeddable widgets for the people who need a copy.
How we work
Engineered once. Maintained indefinitely.
- 01 Audit the sources, volumes and update frequencies behind the views.
- 02 Agree the metrics, comparisons and narrative each view must carry.
- 03 Choose the rendering technology on dataset size and interactivity.
- 04 Build responsive, accessible components that render fast under load.
- 05 Connect the pipeline with caching and aggregation for quick loads at scale.
- 06 Test with real audiences and refine on whether they understood it.
Speak with us
Tell us what the data has to make plain.
We reply within one working day, from an engineer, not a pipeline.
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