Applied AI for real operations. One accountable partner.

Think. Build. Prove.

An AI-powered technology partner. We understand the problem, build the system around it, and prove the result against a number you chose.

Describe the problem in a sentence. It lands in our inbox, not a chatbot.

Jaffna based, working worldwide75+ projects deliveredSee the work
  • Finance & back office
  • Retail & e-commerce
  • Logistics
  • Manufacturing
  • Legal
  • SaaS
  • Healthcare
  • Education
  • Hospitality
  • Professional services
Close-up of a computer motherboard

75+

projects delivered

50+

clients served

10+

engineers

3+

years in operation

Why businesses bring us the hard ones

We began as a software studio. We became a technology partner because clients kept returning with the same gap: between the systems they owned and the outcomes they needed. Closing that gap is now the whole job.

  • One accountable partner

    Software, automation, AI, cloud and data under the same brief, so nothing is lost between vendors.

  • A number, not a promise

    Every engagement carries a measurable target agreed before we start, and we report against it.

  • Yours to keep

    Code, infrastructure and documentation are handed over with every release. No lock-in.

In their words

What the people who signed off on the work say afterwards.

They started by asking what number we wanted to move. Six months later that number had moved, and the system was ours to keep.
Finance directorDistribution firmIllustrative
The first conversation saved us from buying a platform we did not need. What they built instead was smaller, faster and paid for itself in a quarter.
Chief operating officerMulti-channel retailerIllustrative
Our field engineers actually use the app, which is the only review that matters. Dispatch finally sees the day as it happens.
Head of operationsLogistics operatorIllustrative
  • Azure
  • AWS
  • .NET
  • React
  • Next.js
  • Python
  • OpenAI
  • Azure AI
  • PostgreSQL
  • SQL Server
  • Databricks
  • Power BI
  • Kubernetes
  • Terraform
  • React Native
  • .NET MAUI

How we work

Four stages, in that order, every time, each ending with a number rather than an opinion.

Walk through the process
  1. 01

    Listen

    Week one

    We sit with the people doing the work, and measure the baseline before anything changes.

  2. 02

    Design

    Week one to two

    One page: the problem, the approach, and the number that will prove it worked.

  3. 03

    Build

    Two-week increments

    Short, reviewable increments with the measurement wired in from the first release.

  4. 04

    Prove

    At every checkpoint

    The number reported against the baseline, whether or not it flatters us.

Bring us the problem.

A first conversation is free and usually enough to tell you whether this is a software, automation or AI problem, and what it would take to solve.