Data & AI Consulting · Dubai, UAE

Your data is an asset.
Let's make it work like one.

RedBlueLab helps mid-size companies unlock the value sitting in their data — without building a full internal team. Strategy, pipelines, dashboards, and AI. Delivered and running in production.

Trusted by
Reinsurance & Insurance firms Manufacturing operations Research institutions Mid-size operations teams

Mid-size companies are sitting on untapped data.

You don't have the budget for a 10-person data team. You don't want to spend 18 months waiting for an enterprise vendor. You need things to actually work.

RedBlueLab acts as your embedded data and AI partner — from strategy to production. We understand your business first, then build what actually moves the needle.

01

A partner, not a vendor

We work directly with your team, understand your operations, and stay until it's running in production.

02

Infrastructure before algorithms

Most companies think they need ML. They first need clean pipelines and reliable data. We build the foundation right.

03

Focused, not open-ended

Clear deliverables, honest timelines, and no bloated retainers. You know exactly what you're getting.

From raw data to real decisions

⚙️

Data Infrastructure

ETL pipelines and automated flows that eliminate manual work and give your team a single source of truth.

📊

Analytics & BI

Power BI dashboards and reporting systems that answer the questions your leadership actually cares about.

🤖

AI & Machine Learning

Predictive models and AI tools built for production — forecasting, optimization, document analysis.

🛠️

Custom Data Applications

Internal tools and SaaS platforms built around your workflow — not the other way around.

🗺️

Data Strategy

Short, focused engagements to assess where you are, find the opportunities, and build a roadmap your team can act on.

ALL SERVICES

Results that matter

60%
Stockout reduction
Demand forecasting pipeline for a regional distributor — replaced weekly spreadsheet decisions with real-time inventory intelligence.
85%
Reduction in manual tasks
AI document analysis tool deployed across 40+ organizations, eliminating research bottlenecks at scale.
2×
Faster R&D cycles
ML-powered formulation predictions for manufacturing teams — tested, validated, and in production.

We also build products. Metallyx — our alloy management SaaS — is currently in private beta with select manufacturing clients. Get in touch if you'd like to know more.

Abdelrahman Mohamed

Abdelrahman Mohamed — Founder

Data Scientist and Engineer with production experience across insurance, manufacturing, and research. Based in Dubai, working globally. Let's talk about your project →

Practical data and AI — built for how you actually operate

No jargon. No bloated retainers. Focused engagements with clear deliverables that fit inside mid-size operations.

01

Data Infrastructure & Engineering

Foundation

Before anything intelligent can happen, your data needs to flow cleanly and reliably. Most mid-size companies have data scattered across ERPs, CRMs, spreadsheets, and databases — with no single source of truth. Manual reporting becomes the bottleneck.

We design and build automated ETL pipelines, data warehouses, and integration layers that connect your systems and eliminate manual work. Once running, your team gets accurate, up-to-date data without touching a spreadsheet.

Deliverables

  • Automated ETL pipelines (Python, Databricks, PySpark)
  • Centralized data warehouse or lakehouse design
  • API and ERP integrations
  • Data quality validation and monitoring
  • Documentation and handover for your team
02

Analytics & Business Intelligence

Visibility

Your leadership team shouldn't wait for a weekly report or ask finance to export a spreadsheet to answer a basic business question. The data should answer it in real time.

We build Power BI dashboards, KPI monitoring systems, and executive reporting layers that give your team operational visibility at a glance — designed for clarity, not for showing off every data point you have.

Deliverables

  • Power BI dashboard design and development
  • KPI definition and tracking frameworks
  • Automated report distribution (email, SharePoint)
  • Custom DAX measures and Power Query transformations
  • Training and documentation for internal use
03

AI & Machine Learning

Intelligence

AI works when the foundation is solid and the problem is clearly defined. We don't sell you a model — we solve a specific operational problem with the right level of intelligence for where you are now.

From demand forecasting and churn prediction to process optimization and document analysis — we design, train, and deploy models that run in production, with monitoring and retraining plans built in.

Deliverables

  • Problem scoping and feasibility assessment
  • Model design, training, and evaluation
  • Production deployment (FastAPI, cloud, or embedded)
  • Performance monitoring and retraining framework
  • Explainability and stakeholder reporting
04

Custom Data Applications

Automation

Sometimes the right tool doesn't exist yet. When off-the-shelf software doesn't fit your workflow — or you need a platform built around your data — we build it.

We develop internal tools, operational platforms, and SaaS products that combine data pipelines, analytics, and intuitive interfaces into something your team actually uses every day.

Deliverables

  • Full-stack web application (FastAPI backend, React frontend)
  • Role-based access control and multi-user support
  • Database design and API architecture
  • Cloud deployment and infrastructure setup
  • Ongoing support and iteration
05

Data Strategy Consulting

Clarity

Not sure where to start? Not sure if what you're building is the right thing to build? This is where we begin.

A focused 2–4 week engagement to assess your data maturity, identify the highest-value opportunities, and deliver a prioritized roadmap. No generic frameworks — honest analysis and a plan your team can actually execute.

Deliverables

  • Data maturity assessment and gap analysis
  • Prioritized opportunity map (quick wins vs. long-term plays)
  • Architecture recommendations tailored to your stack
  • Implementation roadmap with realistic timelines
  • Executive presentation and stakeholder walkthrough

Simple, focused, transparent

01 — DISCOVERY

Understand first

We start with your business problem, not the technology. A conversation to understand your situation, data, and goals.

02 — SCOPE

Define clearly

A clear proposal with deliverables, timeline, and price. No vague retainers. You know exactly what you're getting.

03 — BUILD

Deliver iteratively

Regular updates, working software early, and close collaboration with your team throughout the engagement.

04 — HANDOVER

Leave you capable

Full documentation, training, and handover. Your team owns what we build — no ongoing dependency on us to keep it running.

Real problems.
Real results.

A sample of what we've built — across industries, from automated pipelines to full production platforms.

Manufacturing · SaaS Product

Metallyx — Alloy Management & Casting Optimization

FastAPIReactPostgresscikit-learn

Aluminum manufacturers had no reliable way to simulate alloy formulations before physical testing. Every trial was costly — in material, time, and R&D cycles. The process was manual, disconnected across facilities, and left engineers guessing.

We built Metallyx — a multi-tenant SaaS platform where engineering teams manage alloy inventories, run casting job workflows, and get ML-powered property predictions before any metal is poured. Deployed across multiple facilities with role-based access, full traceability, and export-ready reporting.

↗ 15% reduction in material waste — R&D cycle time cut in half — currently in private beta with select clients
PRIVATE BETA · MANUFACTURING · MENA REGION
Retail & Distribution

Inventory Intelligence & Demand Forecasting Platform

PythonPower BIFastAPIPostgreSQL

A regional retail distributor managing 12 warehouses across three countries had no visibility into demand patterns. Procurement decisions were driven by gut feel and lagging weekly spreadsheets — resulting in chronic overstock in slow-moving SKUs and stockouts in high-demand lines. The cost of carrying excess inventory alone exceeded their analytics budget.

We built a demand forecasting pipeline that ingested sales history, seasonality signals, and supplier lead times to generate SKU-level weekly forecasts. A Power BI operations dashboard gave warehouse managers and procurement leads real-time visibility into stock health, reorder triggers, and forecast accuracy — replacing the weekly spreadsheet cycle entirely.

↗ 30% reduction in overstock value — stockout incidents down 60% in the first quarter — procurement cycle cut from 7 days to same-day
MID-SIZE ENTERPRISE · RETAIL & DISTRIBUTION · MENA REGION
Research Automation · AI

Scientific Replicates Extractor — AI Literature Analysis

PythonOpenAI APINLPFastAPI

A research platform connected to academic institutions needed to extract structured data from thousands of scientific papers — identifying experimental replicates, methodologies, and outcomes. The process was entirely manual and had become a hard bottleneck on researcher output.

We built an AI-powered extraction system that automatically categorizes papers, identifies replicate types, extracts methodology metadata, and routes structured results for researcher review. Scaled from prototype to production across a network of research and brokerage organizations.

↗ 85% reduction in manual research tasks — deployed across 40+ organizations globally
RESEARCH SECTOR · AI AUTOMATION · GLOBAL DEPLOYMENT

Let's figure out if we're a good fit.

Tell us what you're working on. We'll respond within 24 hours with honest thoughts — no sales pitch, no pressure.

Based
Dubai, UAE — working globally
Abdelrahman Mohamed
Abdelrahman Mohamed
Founder · Data Scientist & Engineer
Message sent. We will respond within 24 hours.