Capabilities

Six disciplines. One accountable partner.

Most problems cross more than one of these. We staff the mix the problem needs, and one team owns the outcome from first conversation to measured result.

AI integration

Copilots, document intelligence and agents wired into the systems you already run, measured against numbers you already track.

Custom copilots and chat agents on your own data
Document intelligence and OCR pipelines
Retrieval, ranking and evaluation for LLM systems
Agents with human approval where judgement matters

How it usually starts

Two-week AI readiness review: where a model would pay for itself, and where it would not
Six-week copilot pilot on one workflow, with a go or no-go number agreed up front

What you get

Working system integrated with your data and tools
Evaluation harness and quality report
Cost and latency dashboard
Runbook and hand-over for your team

Process automation

Back-office and workflow automation that removes the manual steps, with people kept in the loop where it counts.

Workflow and approval automation
System-to-system integration and orchestration
Robotic process automation for legacy screens
Exception queues and audit trails by default

How it usually starts

Process mapping week: the flow as it really runs, with the hours and errors at each step
Automation of one high-volume process end to end, with an exception queue

What you get

Automated workflow with monitoring and alerts
Exception handling and approval queue
Audit trail for every automated decision
Before and after time-and-error measurement

Software engineering

Web, mobile and API products built around how your operation actually works, not around a template.

Web applications and customer portals
iOS and Android apps
API design and integration
Legacy system modernisation

How it usually starts

Product discovery and clickable prototype in three weeks
Customer portal or internal tool built in reviewable two-week increments

What you get

Production application with automated tests and CI/CD
API documentation and integration guide
Design system and component library
Source code, infrastructure and full ownership handed to you

Cloud & infrastructure

Azure and AWS platforms engineered for scale, security and cost discipline.

Cloud architecture on Azure and AWS
Migration and modernisation
CI/CD pipelines and infrastructure as code
Observability and cost optimisation

How it usually starts

Cloud cost and security review with a prioritised fix list
Migration of on-premise workloads to Azure or AWS with zero-downtime cutover

What you get

Infrastructure as code, versioned and reviewed
CI/CD pipelines with environment promotion
Monitoring, alerting and incident runbooks
Monthly cost and reliability report

Data & intelligence

Pipelines, warehouses, dashboards and forecasts that turn operational noise into decisions.

Data pipelines and warehousing
Dashboards and reporting
Forecasting and predictive models
Data quality engineering

How it usually starts

Data audit: what you have, where it lives, and what it can and cannot answer
Warehouse and pipeline build consolidating your operational systems

What you get

Documented data model and pipelines
Dashboards with metric definitions and owners
Data quality checks and alerts
Forecast reports and accuracy tracking

Technology advisory

Independent help framing the problem, choosing the architecture and setting the roadmap before anyone writes code.

Problem framing and feasibility
Architecture and vendor-neutral technology selection
Roadmaps and build-versus-buy decisions
Reviews of existing systems and teams

How it usually starts

Two-week technology review with a written, prioritised recommendation
Architecture design for a new product or platform

What you get

Written assessment with options and trade-offs
Target architecture and migration path
Twelve-month roadmap with budget ranges
Board-ready summary of risks and decisions

How they combine

A problem rarely fits one discipline. It enters once, we apply whichever of the six it needs, and one measured outcome leaves. You deal with one team throughout.

Not sure which one you need?

That is normal. Most problems arrive as a symptom, not a category. These are the questions we hear most.

What kind of problems do you take on?

Anything where technology is the lever: a manual process eating hours, a system that no longer fits the business, a decision made on stale data, or an idea that needs a product built around it. If we are not the right fit we will say so in the first conversation.

How do engagements start?

With a free conversation, then a one-page brief: the problem, the approach we propose and the number that will show it worked. You decide from there. Most first engagements are two to six weeks.

Do you work with businesses outside Sri Lanka?

Yes. We are based in Jaffna, in the north of Sri Lanka, and work with clients across the island, the Gulf, Europe and Australia, in their time zones and with regular working overlap.

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.

Start a conversationMessage on WhatsApp

75+
projects delivered: 50+
clients served: 10+
engineers: 3+
years in operation