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CubegleData · AI · Cloud
Data · AI · Cloud Engineering

Your engineering partner for Data, AI and Cloud

Cubegle designs and builds scalable data platforms, intelligent AI solutions and cloud systems that turn complex business challenges into measurable outcomes.

Microsoft FabricAzureAWSDatabricksSnowflakePower BIPentahoSQL ServerPythondbtAirflowTerraform
Microsoft FabricAzureAWSDatabricksSnowflakePower BIPentahoSQL ServerPythondbtAirflowTerraform
Where most data platforms stall

Your data should create momentum, not complexity

Most organizations we work with are not starting from zero. They have data, tools and dashboards — but no single system anyone fully trusts.

Before

  • Fragmented data across systems and regions
  • Manual, spreadsheet-driven reporting
  • Slow, inconsistent dashboards
  • Cloud and tooling cost with no clear driver
  • Limited visibility for leadership

After

  • One governed platform as the source of truth
  • Automated, monitored pipelines
  • Real-time, decision-ready dashboards
  • Optimized, right-sized infrastructure
  • AI-assisted insight on top of trusted data
How we build it

From raw data to business outcomes

One connected architecture — each stage engineered to feed the next, from source systems through to the dashboards and AI your teams act on.

Stage 01

Business Systems & APIs

Connections into every system holding data your organization needs — CRM, billing, operational databases, third-party APIs.

Tools we use

  • REST/SOAP APIs
  • Operational databases
  • Flat files

What it solves

Fixes fragmentation across production systems and regions.

A complete, mapped picture of where your data actually lives.

Why Cubegle

Senior engineering, applied with discipline

Senior engineering expertise

13+ years of experience and 50+ projects delivered across data, BI, cloud and AI.

Architecture-first delivery

We design before we build, so pipelines and platforms are shaped for your actual scale.

Tool-agnostic recommendations

We recommend the platform that fits your workload, not the one we're most incentivized to sell.

Cost-conscious implementation

Transparent pricing and architecture decisions that avoid inflated cloud costs.

End-to-end ownership

We act as an extended team across data engineering, BI, cloud, DevOps, product and AI.

Fast proof-of-value

Agile delivery with weekly demos, so you see and can redirect progress early.

Scalable and maintainable solutions

Systems designed to grow with your business, not systems that need to be rebuilt at the next milestone.

Clear communication and documentation

Transparent updates and documented systems your team can operate without us.

How we work

A disciplined path from discovery to scale

Five stages, weekly visibility, and the option to stop after any phase if it's not the right fit.

  1. 01

    Discover

    A short discovery call to understand your current tools, data sources and the problem you're actually trying to solve.

  2. 02

    Architect

    We design an architecture sized to your scale and budget — tool-agnostic, and documented so your team can follow the reasoning.

  3. 03

    Validate

    For higher-risk builds, we prove the approach with a focused proof of concept before committing to full delivery.

  4. 04

    Build

    Senior engineers build the pipelines, platform or models with weekly demos, so you see progress and can redirect early.

  5. 05

    Scale

    We hand over documented, monitored systems built to grow with your data volume and team — with support for ongoing evolution.

Technology ecosystem

Tool-agnostic, chosen for your workload

We recommend the platform that fits your scale and budget — not the one we're most incentivized to sell.

Cloud

  • Azure
  • AWS
  • Microsoft Fabric
  • Google Cloud

Data Platforms

  • Databricks
  • Snowflake
  • Azure SQL
  • Azure Synapse
  • Delta Lake

ETL and Orchestration

  • Airflow
  • Pentaho
  • Azure Data Factory
  • dbt
  • Fivetran
  • Talend

Databases and Warehouses

  • SQL Server
  • Redshift
  • BigQuery
  • Snowflake
  • PostgreSQL
  • MongoDB

BI and Analytics

  • Power BI
  • DAX
  • Embedded Analytics
  • Tableau
  • Looker

AI and Machine Learning

  • Python
  • scikit-learn
  • MLOps pipelines
  • LLM APIs
  • TensorFlow
  • MLflow

DevOps and Observability

  • Terraform
  • GitHub Actions
  • Azure DevOps
  • Jenkins
  • Docker
  • Kubernetes
  • Prometheus
  • Grafana

Let's talk about what your data should be doing for you

Tell us where you are today and where you're trying to get to. We'll respond with a clear, honest read on the path forward.