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Services

Services that turn data into outcomes
Capabilities across data, AI, software, and talent, delivered by a team that owns the whole journey.

  1. Data Engineering

    The pipeline layer beneath your analytics.

    We build reliable, modern pipelines that move, store, and prepare data, keeping it accessible, consistent, and ready for analytics and AI.

    • ETL/ELT Pipelines
    • Cloud Data Lakes
    • Stream Processing
    • Data Warehousing
  2. Machine Learning and AI

    AI taken past the demo, into real workflows.

    We build machine learning that uncovers patterns, improves forecasting, and automates complex decisions across your operations.

    • Predictive Analytics
    • Neural Networks
    • Computer Vision
    • NLP Solutions
  3. Software Engineering

    Applications that carry data into the day to day.

    We build secure, maintainable software, from customer-facing platforms to internal tools and integrations, shaped around how your business works.

    • Full-Stack Development
    • API Integrations
    • Cloud-Native Applications
    • DevOps Automation
  4. Business Intelligence

    Metrics defined once, seen by everyone who acts on them.

    We turn complex datasets into intuitive dashboards, reports, and visualisations that help decision-makers understand and act on performance.

    • Azure Synapse Analytics
    • Power BI Dashboards
    • Real-Time Reporting
    • Custom Visualizations
  5. Resource Augmentation

    Vetted engineers who slot into your team.

    Extend your team with experienced specialists, skipping the hiring overhead, to fill critical gaps, accelerate delivery, and support projects end to end.

    • On-Demand Talent
    • Flexible Engagement Models
    • Domain Expertise
    • Rapid Onboarding
Data Architecture

From source to insight

  1. Data Sources

    We connect the systems your business already runs on.

    • Finance Systems
    • CRM & ERP
    • Human Resources
    • Legacy Systems
  2. ETL Pipeline

    Pipelines that extract and transform data to your business rules.

    • Python
    • Azure Data Factory
    • Snowflake
    • Apache Spark
    • Databricks
  3. Storage

    A warehouse, lake or lakehouse on the cloud you choose.

    • Data Warehouse
    • Data Lake
    • Data Lakehouse
    • Azure
    • Google Cloud
    • AWS
  4. Data Modeling

    Processing and calculations that prepare data for reporting.

    • Data Processing
    • Calculations
    • Prepare for Visualization
  5. Visualization

    Dashboards and reports your teams act on.

    • Power BI
    • Tableau
    Our product

    Agentic Intelligence Platform

    Ask questions in plain language and get answers, charts and dashboards on the go.

    • Natural-language chat
    • Instant charts
    • Dashboards on the go
    Explore Agentic AI
Track Record

Where we have done this before

  • Insurance
  • Banking and finance
  • Healthcare
  • Agriculture
  • Renewable energy
  • Technology
  • E-commerce and retail
  • Logistics and supply chain
  • Travel
  • Manufacturing
FAQ

Before you get in touch

How quickly can an engagement start?

Most engagements can start within one to two weeks. We begin with a short scoping conversation so we both understand the goal, the data available, and how success will be measured before any build begins.

Do we need a modern data platform before starting with BI or AI?

No. We often start on top of what you already have, and where a modern platform is genuinely needed we build it as part of the work rather than as a prerequisite. Every engagement begins with an honest read on whether your data supports the question.

Can you work with the cloud and BI tools we already use?

Yes. We work across the major cloud providers and BI tools, and we build inside the stack your organisation already uses rather than pushing you onto something new.

Who owns the code and the intellectual property?

You do. Code, documentation, and environments are handed over and stay in your hands. Anything we build for you belongs to you.

Where is your team based?

Our team is based in Sri Lanka and works in overlap with your hours. For resource augmentation, engineers work to your standards and inside your repositories.

Contact

Ready to build something?

We engineer data systems and software that work at scale. Let's scope your project.

Send us a message

Tell us the problem you're solving and we'll bring the architecture.