Daniel ELEMIDE
AI Engineer & Frontend Developer | AI-Powered Products
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A week ago, someone reached out to me on LinkedIn about a problem their company was looking to solve in the construction industry.
After discussing the goals and understanding the workflow, I started building TenderIQ, an AI Tender Intelligence & Bid Decision Platform.
Construction companies can receive tenders that span hundreds of pages, containing technical specifications, qualification requirements, HSE conditions, insurance requirements, deadlines, evaluation criteria, financial conditions, and legal obligations.
The real challenge isn't simply reading or summarizing these documents.
It's answering:
“Should we spend our time and resources bidding for this project?”
That's the problem I'm trying to solve with TenderIQ.
The current system can already:
1. Extract and process tender documents
2. Create searchable document representations
3. Retrieve relevant information using semantic search
4. Use RAG to answer questions against the tender
5. Identify mandatory requirements
6. Extract submission documents, deadlines, risks, and constraints
7. Provide answers with supporting sources
8. Expose the intelligence through a FastAPI backend
The goal is to take this further:
Tender Document → Understand → Extract → Compare → Identify Risk → Recommend → Assist Bid Team
I'm particularly excited about this project because it's pushing me beyond building AI demos. I'm working on an AI system designed around a real business decision and workflow.
Still building. Still testing. Still improving.
But this is one of the projects I'm most excited about right now. 🚀
#AIEngineering #RAG #ArtificialIntelligence #Python #FastAPI #ConstructionTech #TenderManagement #B2BTech #SoftwareEngineering
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The platform provides a streamlined booking experience with an intuitive interface designed to make finding and scheduling medical appointments simple and convenient.
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SQLEval is an AI evaluation platform designed to benchmark and compare the accuracy and reliability of LLM-generated SQL. It runs controlled evaluations across different models and prompts, measures performance, and helps identify failure cases through detailed results and analysis.
Built with Python and modern LLM evaluation workflows, SQLEval focuses on reproducible testing, model comparison, and understanding how AI systems perform on real-world SQL tasks.
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Reachio is an automated outreach platform designed to help businesses connect with potential clients and manage follow-ups more efficiently. It automates personalized outreach, follow-up sequences, and lead management, reducing manual work and helping users maintain consistent communication with prospects.
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