We engineer
production AI —
not proofs of concept.
Eight disciplines, one studio shipping them end-to-end.
We don't hand off between specialists. The same engineers prototype the model, harden the pipeline, and stand up the dashboard your CFO opens on Monday.
Built like a product team — priced like a studio.
Four working principles that shape every engagement. They're the reason our case studies still run in production years later.
Production-Grade Engineering
We don't build demos — we build production systems. Every solution is designed for reliability, scalability, and real-world performance from day one.
Deep Technical Expertise
Engineers with hands-on experience across AI, computer vision, data engineering, and full-stack development. We go deep where it matters.
Transparent & Collaborative
No hidden costs, no surprises. We work as an extension of your team with regular demos, clear communication, and transparent pricing throughout.
End-to-End Delivery
From initial consultation to production deployment and ongoing support, we own the entire lifecycle. One team, one point of contact, complete accountability.
Receipts
Manual work eliminated
ClaimbAI · Insurance multi-agent platform
Rows re-architected
AiGenius · 3NF → star-schema warehouse
Edge inference speed
COMCEPT · TensorRT-tuned vision pipeline
From discovery to deploy — a five-act rhythm we don't skip.
No black-box quotes, no surprise pivots. Every project moves through the same five phases — sized to your scope.
Discovery Call (Free)
We begin with a free consultation to understand your business goals, technical requirements, and timeline.
Requirements & Architecture
We document your requirements and design the solution architecture, data flows, and technology stack.
Proposal & Planning
You receive a detailed proposal with milestones, deliverables, and transparent pricing tailored to your project.
Development & Iteration
Our team builds your solution in agile sprints with regular demos, feedback loops, and course corrections.
Delivery & Support
We deploy to production, hand over documentation, and provide ongoing maintenance and optimization support.
Six engagements where the numbers outlived the contract.
The stack we actually use in production.
Boring where it matters, modern where it pays off. We pick infrastructure that we can support a year from now — not whatever shipped last week.
AI & LLMs
01 / 06- LangChain·
- LlamaIndex·
- OpenAI·
- Anthropic·
- Gemini·
- Google ADK·
- n8n·
- Ollama
ML & Deep Learning
02 / 06- PyTorch·
- TensorFlow·
- Hugging Face·
- YOLOv9-v11·
- Whisper·
- scikit-learn
Vision & Edge
03 / 06- OpenCV·
- TensorRT·
- ONNX·
- NVIDIA Jetson·
- ARM64·
- CUDA·
- GOTURN
Cloud & MLOps
04 / 06- Docker·
- Kubernetes·
- FastAPI·
- Firebase·
- Cloud Run·
- AWS Glue·
- Azure Synapse·
- Microsoft Fabric·
- MLflow
Data & Analytics
05 / 06- PostgreSQL·
- SQL Server·
- Vector DB·
- Tableau·
- Power BI·
- Pandas·
- ETL
Development
06 / 06- Python·
- C++·
- Node.js·
- React·
- Qt·
- REST APIs·
- Git
Words from teams who kept shipping after launch.
Five engagements, one pattern: production-grade systems still running long after the last sprint.
AZenthera delivered an AI agent ecosystem that cut our manual processing by 70%. Their technical depth and responsiveness made them feel like an in-house engineering team.
ClaimbAI Team
AI-Powered Insurance Platform, California
The data warehouse transformation of our 200M-row dataset was remarkable. The star-schema design they built powers all our analytics and f…
Their computer vision system on Jetson hardware exceeded our latency requirements. TensorRT optimizations alone improved inference by 30%.…
They automated our entire Pepsi KSA & UAE analytics pipeline. Refresh went from 1 week to 3 days, and we went from needing 6 people to jus…
Professional, respectful, and deeply knowledgeable. The retail analytics dashboards they built for Adastria are still the backbone of our…