A/01The studio

A small engineering studio for production AI.

Long version

Azenthera is run by engineers who got tired of glossy demos that never made it past the quarter. We started the studio to build the other half — the boring half — that actually keeps systems running. Pipelines, observability, fail-safes, the dashboard your CFO opens on Monday.

Our clients range from California-based AI startups to a Japanese fashion retailer, defence contractors, and FMCG operators inside PepsiCo. We've processed over 200 million data rows, deployed multi-agent ecosystems for entire departments, and tuned real-time computer-vision models on edge hardware to within an inch of their thermal budget.

We work as a lean, remote-first team. That means you get senior-level engineering at competitive rates, with the responsiveness of a dedicated in-house squad — and none of the overhead of a 200-person agency.

Manifesto

Four things we'll never compromise on.

/01

Production over polish

Every line we ship is shaped by what survives Monday morning, not what looks good in a deck.

/02

Senior by default

There is no junior bench to subsidise. The engineer that scopes your work is the engineer that ships it.

/03

Plain accountability

Fixed scope, fixed price, written-down assumptions. If something slips we say so the same week.

/04

Long after launch

We measure success by what runs in year two, not what demoed in week six. Maintenance is part of the build.

Engineers

The two people building with you.

Every engagement is run by senior engineers — no juniors handed the keys, no offshore relay teams.

/01 · EngineerAK

Afzal Khan

AI Engineer · ML/DL · Computer Vision · MLOps

Building production AI systems — from LLM-powered agent ecosystems and RAG pipelines to real-time computer vision on edge hardware. MIT MicroMasters in Statistics & Data Science.

  • 01Agent ecosystems (Google ADK, n8n, Firebase)
  • 02Edge AI on NVIDIA Jetson (TensorRT, ONNX)
  • 03RAG systems with sub-second retrieval
  • 04Full-stack AI product development
/02 · EngineerTR

Taha Rasheed

AI Engineer · Data Analytics · Cloud Data Engineering

AI and Data Analytics professional with experience across US and Pakistan-based clients. Specialist in Azure cloud data platforms, BI reporting, and AI agent development — from enterprise data warehouses to production agent ecosystems.

  • 01Azure Synapse & Microsoft Fabric data pipelines
  • 02Power BI dashboards with advanced DAX
  • 03AI agent ecosystems (Google ADK, n8n, Firebase)
  • 04ETL automation & data warehouse design
/08Let's build

Tell us what
you're building.