AI
Verifying epidemic intelligence with an LLM
A global health network drowned in unverified outbreak signals. We automated classification and summarisation so experts only reviewed what mattered.
Review time: 72 hours to under 1 hour
Decoding complexity. Delivering impact.
DigiHelix designs and builds workflow automation, data platforms and AI analytics for organisations whose processes have outgrown spreadsheets, email threads and manual approvals, and proves the value before the full rollout.
1.0
Faster reviews, fewer manual handovers and better-informed decisions. See how we put connected workflows, data and AI to work.
AI
A global health network drowned in unverified outbreak signals. We automated classification and summarisation so experts only reviewed what mattered.
Review time: 72 hours to under 1 hour
Workflow
A national utility paid landowners affected by new infrastructure through several departments working manually and independently. We merged them into one platform on one dataset.
Processing time and admin cost cut across the chain
Data platform
Reference prices were set by hand a few times a year. We built the data harmonisation layer, a configurable formula engine and a single control centre for pricing decisions.
Formula-driven pricing, continuously re-evaluated
Client names are withheld for confidentiality. We can discuss the details under NDA.
2.0
Connected data, useful AI and workflows people can follow. We bring them together around the business decision you need to improve.
01
Data models, integration and harmonisation pipelines, and the orchestration layer underneath them. We consolidate scattered internal systems and external sources into one dependable master dataset.
02
Predictive models, spatio-temporal analysis, computer vision and language models, applied to a decision someone actually has to make, not to a proof of concept that stops at the slide deck.
03
Workflow design and product development. We map how work moves across departments today, redesign it around the people doing it, and build the platform that makes the new way the easy way.
3.0
Four phases, each with its own exit criteria. You can stop after any one of them, and you will know what you got before you commit to the next.
A structured scan, often run as a hackathon with your own people, to surface candidate use cases and size their preliminary impact.
Set up the evaluation process and the digital evolution office, prioritise use cases, build a POC to test feasibility and value, and redesign the underlying process and policy.
Define requirements, build a working system, and pilot it in real conditions to confirm the value capture before it scales.
Roll out the structure and process, then use our change-management platform to make the new behaviour stick after the project team leaves.
Bite-sized by design. A typical engagement moves from mock-up to MVP to full solution. The mock-up confirms scope in weeks, the MVP proves the money, and only then do we build the rest.
4.0
We work with organisations tackling complex operations, from public health to energy and procurement. Our work connects the technology with the people and decisions it needs to support.
Business application, technology and user adoption are treated as one problem. Skip any of the three and the system quietly goes unused.
Our track record comes from disease surveillance, road safety, election transparency and grant equity, domains where being wrong is expensive.
Our team's platforms have won global innovation challenges and been selected from thousands of applicants across more than 130 countries.
5.0
Tell us where work gets stuck, who is involved and what needs to improve. In our first conversation, we will explore the problem and identify a useful first step together.
Bangkok, Thailand. We work with clients across Asia and internationally.