Central Region · Applied AI
AI data analytics in Novena
AI data analytics that lives in your stack, not on a vendor's roadmap. Shipped from Central Region.
What AI data analytics actually does
Stop digging through dashboards. Ask plain-English questions of your sales, jobs, and customer data – get charts, summaries, and the why behind the numbers in seconds.
Novena sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI data analytics template would catch.
- 01 Natural-language queries over your Xero, Shopify, CRM data
- 02 Weekly auto-summaries delivered to inbox or Slack
- 03 Anomaly detection – flags weird weeks before you notice
- 04 Forecasts that explain themselves, not black boxes
Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK
Why Novena businesses choose this
Novena is Singapore's medical hub, dense with private hospitals and specialist clinics – AI here means handling patient-facing and admin work with genuine care around accuracy.
The pattern across Novena engagements we've shipped.
One of the highest concentrations of private hospitals and specialist medical centres in the region, serving both local patients and medical tourism. Clinics here want AI that reduces admin load without ever compromising on precision.
We work with teams across Novena: Novena Medical Centre · Thomson · Balestier · Toa Payoh · Newton.
How we build AI data analytics for a Novena team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Novena business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
Ask your data in English.
The outcome for Novena teams
The shape of the result for Novena teams: Owners check the business in 2 minutes instead of 2 hours. Built on DuckDB, hardened with the rest of the stack as it scales.
Owners check the business in 2 minutes instead of 2 hours.
AI data analytics in Novena – common questions
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for Novena businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Anyone else in this space using AI data analytics?
Plenty. Owners check the business in 2 minutes instead of 2 hours. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
What tools do you build AI data analytics on?
For AI data analytics we usually reach for DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK. We're tool-agnostic at heart – we pick what your Novena team can actually run after we hand the build over, not what looks good on a vendor sticker.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.