Build

AI that runs the business, not just the demo.

Konverta.ai builds business-critical AI workflows and products that run every day in production: from an AI interior design engine to lead tracking connected to Meta ads.

Led by Kenneth Phua, former Global Head of Digital Strategy & Innovation at Coca-Cola. We build it, wire it into your stack and keep it running.

01 What we build

What does Konverta.ai build?

Workflows and products that real teams use every day. Some for clients, some our own.

In productionCAsarté Interior

AI interior design engine

A business-critical AI workflow for interior designers: floor plan to furnished layout, 3D clay views and photoreal renders, in under an hour, where it usually takes days. That's 24x faster, as Kenneth put it at launch. The designer stays in charge at every step.

  1. Floor plan
  2. Furnished layout
  3. 3D clay
  4. Photoreal render
Film · 58s
Photoreal render of a furnished living room produced by the design engine The same room as an untextured 3D clay view 3D clay Photoreal render
In productionCAsarté Interior

Meta lead tracker

Leads from Facebook and Instagram ads land in one tracker the moment they come in. The workflow monitors each one and flags who needs a follow-up, so no enquiry goes cold.

  • Connected to Meta lead ads, no copy-pasting
  • One tracker for the whole team, not a pile of inboxes
  • Follow-up flags, so nothing depends on memory
White-label platformBuilt for CAsarté Interior

Creative Studio

Our AI content production platform, first built for CAsarté Interior and available white-labelled for your brand: a guided workflow that casts the AI talent and builds the set, with no prompt engineering. Ideas become angles, captions and ready-to-publish social videos, and the team never has to learn to prompt.

Free toolCase study · fictional brand

Attention heatmap

Challenge
Brand and proposition buried on pack, as on this fictional export noodle pack.
What we did
A predicted-attention analysis, plus a redesign that makes the proposition the headline.

Result share of predicted attention, before → after

Proposition
2.5% to 31%
Product
20% to 27%
Brand
27% to 22%

Fictional brand. Predicted attention, not eye-tracking.

Live demoClinic pilot

AI voice agent

Built as a test for a clinic partner from nothing but its public information. It speaks in a natural, local Singaporean voice from minimal inputs and handles the call end to end. The demo runs in your browser, so you can talk to it yourself.

Coming soonCustomer experience

CX AI products

Voice, chat and operations agents for customer experience. Built on the same rules as everything else here: it has to work in production, not just in the demo.

Voice agentsCalls answered, enquiries handledSoon
Chat agentsWeb and messaging channelsSoon
Operations agentsThe work behind the conversationSoon

02 How we build

How do we get AI from demo to production?

Five steps. Each one ends with something you can hold us to.

  1. Problem & ROI framing

    What is the process worth without AI, and what is it worth with it? If you can't answer the first, AI won't answer the second.

    DeliverableROI case

    From pilots to deployment
  2. Workflow design

    Map the process end to end. Decide where AI does the work and where people stay in charge.

    DeliverableWorkflow map

    Digital right, AI right
  3. Build & integrate

    The stack, the data, the integrations with the tools you already run. Date, don't marry: no lock-in to one vendor.

    DeliverableWorking system

    Date, don't marry
  4. Run in production

    A demo is not a product. Monitoring, failure modes and the 2am test: it works when nobody is watching.

    DeliverableMonitoring & runbook

    A demo is not a product
  5. Scale & capability

    Hand over, train the team, roll out to more markets. A capability, not a one-off pilot.

    DeliverableHandover & rollout

    Why pilots fail to scale

Got a process that should run itself?

Tell us what it is. Kenneth will tell you straight whether AI should touch it, and what it takes to run it in production.

Or use the contact form+65 8785 5691