Voice and booking AI
Answer inbound calls, qualify demand, and place qualified appointments in the calendar.
Founder profile
Said Azizov.
AI engineer.
I build AI systems that are technically sound, commercially useful, and ready to live inside a real team's workflow.
1M+Model downloadsX-FLUX ecosystem
4K+GitHub starsOpen-source AI work
10+Hackathon medalsNational and international competitions
The through line
From model research to systems that move real work.
My background is in deep learning, computer vision, natural language processing, and open-source AI. At SberAI, I worked on the Kandinsky diffusion model. At XLabs AI, I built in the X-FLUX ecosystem.
That technical foundation matters when a business needs more than a chatbot. The job is to fit AI into lead capture, qualification, CRM, follow-up, team handoff, and the operational habits that already exist.
What I build today
Revenue infrastructure that helps teams respond, qualify, and follow through.
Inbox and CRM operations
Route messages, keep sales context intact, and stop enquiries dying between teams.
Lead qualification and estimating
Use the right data, including images where useful, to focus teams on work worth winning.
Private AI systems
Build controlled knowledge and workflow systems for organisations with stronger security requirements.
Work with Azizov HQ
Start with the bottleneck that costs your team the most.
We will map the current journey and identify the system worth building first.
Map my revenue leaks