Management Consulting

Transform your business
with data-driven
decisions

We help enterprise teams build reliable data infrastructure, streamline operations, and deploy AI solutions that work in production.

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7+ Years of expertise
6 Countries operated in
4 Industries covered
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01 — Data Engineering

Build data infrastructure
that scales

From cloud warehouse migrations to modern dbt-driven pipelines, we design and build data infrastructure that your engineering and analytics teams can actually rely on.

Our process
01

Infrastructure Audit

We map all data sources, pipeline dependencies, and performance bottlenecks across your stack.

02

Architecture Design

Cloud warehouse and pipeline architecture optimised for your query patterns, cost profile, and downstream consumers.

03

Pipeline Build

ETL/ELT pipelines with dbt models, proper layer separation, automated testing, and documentation built in from day one.

04

Monitoring & Iteration

Data quality checks, pipeline alerting, performance tuning, and ongoing support as your needs evolve.

Case studies
Consulting · Saudi Arabia

DWH Migration from AWS Redshift to Trino

Reverse-engineered 200+ legacy Redshift ETL workflows, resolved cross-engine SQL incompatibilities (NULL handling, CTE non-determinism, predicate logic), and rebuilt the entire pipeline as dbt models with staging/ODS/datamart layer separation and automated testing.

Redshift Trino dbt SQL
200+ SQL pipelines migrated
Consulting · UAE

ETL pipeline & data warehouse for property management

Designed and deployed end-to-end ETL pipelines in Python and SQL, built a PostgreSQL data warehouse, and created Power BI dashboards for a property management firm handling residential and commercial assets across Dubai.

Python PostgreSQL ETL Power BI
3x faster reporting turnaround
Energy · Central Asia

Production data platform for oil & gas operator

Built and maintained data infrastructure — ingestion pipelines, SQL-based transformations, and monitoring dashboards — supporting real-time extraction operations across multiple production sites over a 3-year engagement.

SQL Python Data Engineering ETL
3 yrs of continuous data ops
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02 — Process Optimization

Eliminate friction,
accelerate delivery

We identify operational bottlenecks, redesign workflows, and implement lean methodologies that reduce costs and increase team throughput.

Our process
01

Process Mapping

Detailed BPMN diagrams of current workflows — every step, every handoff, every delay point.

02

Bottleneck Analysis

Quantitative analysis to find where time, money and effort are being lost in your operations.

03

Redesign & Pilot

We redesign the process and run a controlled pilot to validate improvements before full rollout.

04

Change Management

Structured change management with team training, KPIs, and a 90-day adoption roadmap.

Case studies
Fintech · India

CRM & call center integration for fintech operations

Configured Webitel telephony system and redesigned CRM workflows for operations teams, improving call connection stability and agent efficiency.

Webitel CRM Telephony
−62% call drop rate
Fintech · Multi-market

Multi-channel communication strategy audit

Audited and optimized all communication strategies (SMS, email, push, calls) across 4 markets, implementing portfolio segmentation to improve targeting and conversion rates.

Segmentation A/B Testing Analytics
+27% avg conversion rate
Real Estate · Eastern Europe

Sales funnel optimization for real estate platform

Streamlined the lead-to-close sales process for a major real estate marketplace, reducing manual steps and improving agent conversion rates through data-driven workflow redesign.

Process Design Analytics KPI
+19% lead-to-close rate
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03 — AI Implementation

Deploy AI that
actually works in production

We go beyond pilots. Our team designs, builds and operationalises AI solutions that integrate into your existing systems and deliver measurable ROI.

Our process
01

Use-Case Discovery

Structured workshops to identify the highest-value AI opportunities specific to your industry.

02

Feasibility & POC

Rapid proof-of-concept to validate technical viability and estimated ROI before commitment.

03

Production Build

Full-cycle ML engineering: data pipelines, model training, API integration, and monitoring.

04

Governance & Scale

AI governance framework, model drift monitoring, and continuous improvement processes.

Case studies
Fintech · LatAm & SEA

AI-powered call recording analysis pipeline

Built an end-to-end AI pipeline: transcription → translation (Vietnamese/Spanish to English) → text analysis. Identified payment flow issues, detected integration failures with mobile operators, and revealed customer dissatisfaction patterns.

AI/ML NLP Python
3 insights from unstructured voice data
Fintech · Multi-market

Collection forecasting model for fintech lender

Built a payment prediction and portfolio forecasting model for next-month collection planning across 4 markets, covering all product types and DPD segments. The model informed resource allocation and strategy targeting for collection teams.

Python SQL Forecasting
4 markets unified forecast
Real Estate · UAE

Automated property listing pipeline with AI agents

Built AI agents that continuously parse new listings from real estate platforms and automatically route qualified properties to brokers — eliminating manual search and reducing time-to-assignment for a Dubai-based property management firm.

AI Agents Parsing Automation
0 manual steps listing → broker
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Ready to start?

Drop us a line and we'll set up a free 30-minute discovery call.

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