A one-engineer studio for AI agents and automation.
Axenor AI is a founder-led studio that builds AI agents, RAG knowledge assistants, and workflow automation for businesses that want repetitive work handled reliably. Every system is designed and built by founder Haseeb Sagheer.
We take one job that is eating your team's time, such as qualifying leads, answering enquiries, or moving data between tools, and build an AI system that does it with validation steps, fallback logic, and a documented handoff so your team can maintain it.
Axenor AI is small on purpose. There is no sales team and no handoff to a junior developer: the person who scopes your project is the person who writes the code, tests it against your real cases, and documents it for your team.
You work with Haseeb Sagheer
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.
- Education
- BS Software Engineering
Capital University of Science & Technology, Islamabad (2021 - 2025) - Credentials
- IBM Data Science Professional Certificate · IBM via Coursera, 2025Introduction to Data Science Specialization · IBM via Coursera, 2025Published paper: Role of AI-Enhanced Education System in Empowering Students with Life Skills (DOI 10.71317/RJSA.003.05.0373) · Research Journal for Social Affairs, 2025
Audit, build, launch, with the scope fixed before work starts.
- 01
Audit
We identify the repetitive work slowing down revenue, response time, or customer experience.
- 02
Build
We create practical AI systems that fit your tools and team instead of forcing a complex platform change.
- 03
Launch
We test the workflow, document the handoff, and refine the system around real customer behavior.
What you can expect
- Founder-led builds
- Fixed scope before work starts
- Validation and human handoff built in
- Documented so your team can maintain it
Tools we build with
- Python & FastAPI
- OpenAI API
- LangChain
- Pinecone vector search
- n8n & webhooks
- Next.js & TypeScript
- Supabase
- Docker
Have a process that should run itself?
Send it over. You get a recommended build, a fixed scope, and a price. No commitment.