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AI Agent DevelopmentRAG Knowledge AssistantsAI Workflow Automationn8n Automation ServicesWhatsApp AI Chatbot & AutomationArabic AI Chatbot DevelopmentAI-Driven CRM AutomationAI Chatbots & Customer SupportAI Automation ConsultingMarkets
Dubai & the UAESaudi ArabiaBook a free auditAxenor AI is a small studio for custom AI agents, RAG assistants, and n8n and Python workflows. The same engineer who ships the products below scopes your project, builds it, tests it on your real cases, and documents it for your team.
Built by Haseeb Sagheer, founder and software engineer
Ask Haseeb AI/Live
Daily Site Log/Live
EvenHaus/Early access
DoseAnchor/Closed testing
How it runs
No manual steps in between
Video maker/Internal tool
How it runs
No manual steps in between
CapCut automation/Internal tool
One lane, done properly: agents, retrieval over your own documents, and the automation that connects them to the tools you already use.
Remotely, with clients in the US, the UK, and Europe, and with dedicated pages for Dubai & the UAE and Saudi Arabia.
Python & FastAPI, OpenAI API, LangChain, Pinecone vector search, n8n & webhooks, Next.js & TypeScript, Supabase, Docker
Custom AI agents that take a task from input to finished action: qualify a lead, answer a request, update a system, and hand off when a human is needed.
Custom scope after consultationPrivate AI assistants that answer from your own documents, so staff and customers get accurate answers instead of generic ones.
Custom scope after consultationAutomations that connect repetitive tasks across tools, teams, and customer touchpoints.
$500-$2,000 setupn8n workflows designed, built, and maintained for you: AI steps, webhooks, CRM and WhatsApp integrations, with error handling so they keep running.
$500-$2,000 setupCRM automation systems that clean lead data, route opportunities, and keep follow-up moving.
Custom scope after consultationAlways-on support agents that answer questions, qualify leads, and route urgent requests.
$300-$800 setupStrategic AI automation guidance for businesses that need a clear roadmap before they build.
Custom scope after consultationAutomation systems that run without us, and products that are live or in testing. Screenshots are of the real sites.
Systems that take a repetitive job and run it end to end.
A script goes in and a finished video comes out. The pipeline picks the images, animates the text, adds the sound, and places everything on the timeline without manual editing.
A Python tool that edits CapCut projects directly. It places the images, adds photo credits, and applies the animations, so the project is assembled without manual dragging and dropping.
Built with Python, CapCut
A live retrieval-augmented (RAG) assistant that answers questions about our founder's work from his own documents, and says so when the answer is not in them. New files are picked up from Google Drive, split into passages, embedded, and stored in a vector database; every answer is written from the passages it retrieves.
Built with Python, FastAPI, OpenAI, LangChain, Pinecone
Products designed, built, and shipped from scratch.
Daily report software for construction teams. Designed, built, and shipped as our founder's own SaaS product, from the data model to production deployment.
Built with Supabase, Vercel
A shared chore app for roommates and couples. It rotates the chores, weighs each one by effort, and shows everyone their fair share, so nobody has to keep score.
A medication reminder app for families. A parent gets a gentle reminder, and if a dose is missed the caregiver is alerted, so nobody has to call every morning to ask.
Built with React Native, Expo, Supabase
An Android focus app that limits app usage, runs focus sessions, and interrupts repetitive app switching. Progress is tracked privately on the device.
Reviews from clients on Upwork, Fiverr, LinkedIn, and direct projects, published word for word.
“Really solid work from Haseeb. We needed an AI agent that could handle incoming leads, qualify them and push the information into our CRM. He didn't just build the basic workflow, he also added the validation steps we were missing. Took a couple revisions but everything is working properly now.”
“Haseeb built an internal AI assistant for our team using our own documentation. The main thing we wanted was reliable answers instead of the usual generic AI responses. The RAG setup is working well and he also showed us how the system was structured so we can maintain it later.”
“Excellent technical work. We had a complicated workflow involving webhooks, APIs, Python and AI and needed someone who could understand the whole process rather than just one part of it. Haseeb built everything and also helped us clean up some of the logic in our existing automation. Very good communication and delivered what we agreed.”
“I came with a pretty messy automation idea and Haseeb turned it into an actual workflow. We are using n8n, APIs and OpenAI and the whole thing is much easier to manage now. Communication was good and he was quick with the changes I asked for.”
“We had a repetitive process where someone from our team was manually checking data, classifying it and then sending it to different places. Haseeb automated most of this using Python and AI. There were some problems with one of the APIs during development but he fixed them and documented the workflow.”
Haseeb Sagheer is the founder of Axenor AI. He is a software engineer who builds AI agents, RAG knowledge assistants, and workflow automation with Python, FastAPI, OpenAI, LangChain, and n8n.
Haseeb holds a BS in Software Engineering from Capital University of Science & Technology, Islamabad, and the IBM Data Science Professional Certificate. He has worked with international clients as a freelance engineer on Fiverr and Upwork since 2024, moving from machine learning and NLP projects into production AI systems: retrieval-augmented assistants, multi-step agents, and API-driven automation. He has shipped his own products, including Daily Site Log, EvenHaus, and DoseAnchor, is the author of a published paper on AI in education, and built Ask Haseeb AI, an open-source RAG assistant. He writes every article on this site from his own implementation experience.
Short, direct answers about what we build, who builds it, and what it costs.
Ask it directly. You get an answer from the engineer who would build your system.
Tell us which process takes up your team's time: what comes in, what someone does with it, and where it ends up. You get a recommended build, a fixed scope, and a price.