Operational clarity
for growth-stage
enterprises.
We advise banking, fintech, real estate developers, and energy operators on the infrastructure, workflows, and AI systems that let them scale without losing control of the details.
Data infrastructure built to be relied on, not maintained by guesswork.
From cloud warehouse migrations to dbt-driven pipelines, we design data infrastructure your engineering and analytics teams can build on without fear of it breaking quietly.
Infrastructure Audit
A small, fixed-fee scoping engagement — we map every data source, pipeline dependency, and performance bottleneck across your stack before you commit to the full build.
Architecture Design
Warehouse and pipeline architecture optimized for your query patterns, cost profile, and downstream consumers.
Pipeline Build
ETL/ELT pipelines with dbt models, proper layer separation, automated testing, and documentation from day one.
Monitoring & Iteration
Data quality checks, pipeline alerting, and performance tuning as your needs evolve.
DWH migration from AWS Redshift to Trino
Reverse-engineered 200+ legacy Redshift ETL workflows, resolved cross-engine SQL incompatibilities, and rebuilt the pipeline as dbt models with full layer separation and testing.
ETL pipeline & warehouse for property management
Designed end-to-end ETL in Python and SQL, built a PostgreSQL warehouse, and shipped Power BI dashboards for a firm managing residential and commercial assets across Dubai.
DWH deconsolidation after a legal entity split
Audited 150+ dbt models and Spark ETL pipelines for backfill requirements after a legal entity split, uncovered cross-entity data contamination in shared aggregate tables, and validated every finding with production SQL before delivering a field-level backfill execution plan.
Fewer handoffs. Faster delivery. Measured, not assumed.
We identify operational bottlenecks, redesign workflows, and implement lean methodologies that reduce cost and increase throughput — with numbers to prove it.
Process Mapping
A small, fixed-fee scoping engagement — detailed BPMN diagrams of current workflows: every step, every handoff, every delay point, before you commit to the full redesign.
Bottleneck Analysis
Quantitative analysis to find exactly where time, money, and effort are being lost.
Redesign & Pilot
We redesign the process and run a controlled pilot to validate improvements before full rollout.
Change Management
Structured training, KPIs, and a 90-day adoption roadmap so the change survives past the pilot.
CRM & call center integration for fintech operations
Configured Webitel telephony and redesigned CRM workflows for operations teams, improving call connection stability and agent efficiency.
Multi-channel communication strategy audit
Audited and optimized SMS, email, push, and call strategy across 4 markets, implementing portfolio segmentation to improve targeting and conversion.
Sales funnel optimization for a real estate platform
Streamlined the lead-to-close process for a major marketplace, reducing manual steps and improving agent conversion through data-driven workflow redesign.
AI that survives contact with production.
We go beyond pilots. Our team designs, builds, and operationalizes AI systems that integrate into your existing stack and hold up under real usage — with the monitoring and access controls your compliance team will ask for before sign-off.
Use-Case Discovery
A small, fixed-fee scoping engagement — structured workshops to identify the highest-value AI opportunities specific to your industry, before you commit to the full build.
Feasibility & POC
Rapid proof-of-concept to validate technical viability and estimated ROI before commitment.
Production Build
Full-cycle ML engineering: data pipelines, model training, API integration, and monitoring.
Governance & Scale
Model drift monitoring, access controls, and a clear owner for when something needs retraining.
AI-powered call recording analysis pipeline
Built an end-to-end pipeline: transcription → translation → text analysis. Identified payment flow issues, integration failures, and customer dissatisfaction patterns.
Collection forecasting model for a fintech lender
Built a payment prediction and portfolio forecasting model for next-month collection planning across 4 markets, informing resource allocation and strategy.
Automated property listing pipeline with AI agents
Built AI agents that continuously parse new listings and automatically route qualified properties to brokers — eliminating manual search for a Dubai-based firm.
Principal Consultant
"Every first call has the same moment — someone finally admits that no department here actually knows what the room next door is doing."
Seven years working data, process, and AI engagements across banking, fintech, real estate developers, and energy — in-house and through other firms — before founding this practice in 2026. From rebuilding data warehouses that engineering teams can trust, to shipping AI agents that run unattended in production. The work is scoped narrow, delivered hands-on, and measured in numbers the client can check.