Don't Let Competitors Win the AI Race: Transform Your Data Challenges Into Unbeatable Advantages

AI solutions that give your team an unfair advantage: instant knowledge access, automated agents & workflows, and data-driven insights that your competitors can't match.

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Is Your Company Facing These Challenges?

These aren't just inconveniences—they're systemic inefficiencies costing you thousands of hours and millions in opportunity costs annually.

New employees take weeks to become productive because onboarding is fragmented

Valuable insights remain buried in unstructured data across your organization

Teams constantly interrupt each other with "quick questions" that destroy productivity

⁠Knowledge workers spend 30% of their time searching for information instead of applying it

Decision-makers lack real-time intelligence needed for competitive advantage

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Our Process

A Systematic Framework Approach to AI Implementation

This process ensures you get solutions that deliver immediate value while building long-term competitive advantage.

Discovery Workshop

We assess your business challenges, evaluate your data assets, and determine your current position on the AI Adaptation Ladder to pinpoint high-impact AI opportunities with clear ROI potential. Our goal is to make you reach higher steps

Custom Solution Design

I develop tailored AI architectures that address your unique requirements and integrate seamlessly with existing systems.

Implementation

Building and deploying production-ready AI solutions with appropriate security, monitoring, and governance.

Optimization & Scale

Continuously refining models and systems to improve accuracy, performance, and business impact.

Book Appointment
Why Erraji Badr | DataUnboxed

Only one obsession : Make your data great again!

From custom AI agents to enterprise-grade data architectures, with really only ONE goal in mind : driving real business impact.

I build custom AI systems that create immediate and lasting competitive advantage:

- Intelligent Knowledge Systems :
Transform scattered documentation, emails, and knowledge bases into an instantly accessible, continuously improving brain for your organization.
- Specialized AI Agents
Automate routine workflows and decision processes, freeing your team to focus on creative, high-value work.
- Insight Generation Tools
Convert raw data into actionable business intelligence, surfacing patterns and opportunities invisible to conventional analysis.

Unlike generic AI Tools, these solution will be customized and deeply integrated within your system to adapt to your unique business context.

Let's chat
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Expertise

Solutions Tailored to Your Knowledge Needs

With over 8 years of experience developing AI and data solutions across banking, energy, marketing sectors and Tech Startups, I bring both technical depth and business understanding to every project within the following technical scopes.

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Advanced Analytics

Cloud Data Architecture: Design scalable, cost-effective data infrastructure
ETL/ELT Pipelines: Implement efficient data processing workflows
Data Warehousing: Create unified data repositories for analytics
Real-time Data Processing: Build streaming solutions for immediate insights

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Data Science & AI

Custom AI Assistants: Automate routine questions and knowledge retrieval
Document Intelligence: Transform scattered documentation into searchable knowledge
LLM Fine-tuning: Customize AI models for your specific business domain
RAG Systems: Build advanced retrieval systems for accurate information access

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End-to-End infrastructure Solutions

Cloud Infrastructure: AWS, GCP, Azure deployment and optimization
DevOps & MLOps: Automated deployment and monitoring pipelines
Data Security: Implement robust access controls and encryption
Performance Optimization: Enhance system speed and reduce costs

Your Data,
Engineered for Impact

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Integrations

Integrated with the tools
you know and love

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Testimonials

What our great customers are saying

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Sophie Moore
Head of Marketing at Company

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Daniel Cannon
Head of AI at Agency

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Sophie Moore
Head of Marketing at Company

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Daniel Cannon
Head of AI at Agency
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Articles & News

Our articles on Data, AI and Tech

Designing Elite AI systems has never been easier. All my feedbacks on the subject in one place :

Controlling AI Text Generation: Understanding Parameters That Shape Output

Controlling AI Text Generation: Understanding Parameters That Shape Output

Control LLM probability distributions using temperature to modify softmax, top-k/top-p sampling methods, and frequency penalties for precise text generation.

AI Engineering
AI Engineering
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6
 min read
ROADMAP to become the ultimate AI Engineer

ROADMAP to become the ultimate AI Engineer

The AI field is booming, but most roadmaps focus on theory over practice. This comprehensive guide provides a practical pathway for software engineers to become AI engineers in 2025 without needing deep ML expertise. Unlike traditional ML roles, AI engineering focuses on building functional AI systems with existing LLMs rather than training models from scratch. You'll learn core skills like prompt engineering, RAG systems, agentic workflows, and evaluation techniques, plus advanced topics like fine-tuning and self-hosting. The roadmap progresses from foundation prerequisites through specialization areas including knowledge management systems, multi-agent architectures, and monitoring techniques. Perfect for developers ready to build AI systems that solve real-world problems.

AI Engineering
AI Engineering
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12
 min read
VLM vs OCR Benchmark Part 2: Self-Hosted Quantized Models - The Reality Check

VLM vs OCR Benchmark Part 2: Self-Hosted Quantized Models - The Reality Check

Building upon our [initial OCR vs VLM benchmarking study](https://www.dataunboxed.io/blog/ocr-vs-vlm-ocr-naive-benchmarking-accuracy-for-scanned-documents), this follow-up investigation tests the practical reality of self-hosted VLM deployment. While Part 1 established that Bigger commercial VLMs significantly outperform traditional OCR methods in accuracy, Part 2 addresses the critical question: Can quantized Qwen 2.5 VL models and tiny VLMs deliver production-ready OCR performance with reasonable hardware constraints?

AI Engineering
AI Engineering
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7
 min read