Intelligence, engineered for production.
Enterprise AI,
Engineered
to Scale.
Secure AI agents, LLM applications, and RAG systems built around your enterprise data.
World-Class Engineering, Expertise in Leading Technologies
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What we do
Production-grade, across every layer.
Expert architects across AI, apps, data and cloud, engineering them to work as one seamless system.
AI & Agentic Systems
LLM applications, retrieval systems and AI agents grounded in your data, evaluated before release and governed in production.
Full-Stack Product Engineering
Web, mobile and enterprise applications on cloud-native architectures, built for the scale, security and change your business demands.
Workflow Automation & Data Orchestration
Event-driven workflows and data pipelines that connect systems, people and AI, orchestrated with Apache Airflow, Kafka and cloud-native services.
Cloud, Infrastructure & DevOps
Secure, observable and cost-efficient platforms on AWS, Azure and Google Cloud, delivered as code and run with SRE discipline.
Have a challenge that doesn't fit a box?
We'll architect a solution around your business, built to your constraints rather than a template.
Start a conversationSignature practice · Apache Airflow®
Your most critical pipelines, in the most reliable hands.
Apache Airflow orchestrates the data, ML and AI workloads your business runs on. Our Airflow architects migrate, tune and operate it on Amazon MWAA, Google Cloud Composer, Astronomer or your own Kubernetes, backed by service levels built around the pipelines that matter most.
- Seamless Airflow 3 migration and modernization
- Expert platform engineering and performance tuning
- 24/7 managed operations with committed response times
- Production-grade orchestration for AI, LLM and ML pipelines
Deep expertise in the platforms you can't afford to have fail
Our engineers build and operate the open-source and cloud platforms at the core of enterprise data and AI.
Apache Airflow Support & Managed Services
Airflow 3 migrations, hardening and 24/7 operations on MWAA, Cloud Composer, Astronomer and Kubernetes.
- Health checks and architecture reviews
- DAG performance and reliability engineering
- Zero-downtime upgrades with tested rollback
We are the leader in Apache Airflow
Engineering shaped by your industry's realities
Regulation, scale and risk look different in a hospital, a bank and a streaming platform. Our teams bring sector context to every architecture decision.
Healthcare
Clinical documentation, patient-data pipelines and compliant AI
Financial Services
Risk, fraud and operations automation with audit-ready controls
Retail & E-commerce
Commerce platforms, personalization and demand data
Manufacturing
Predictive maintenance, quality analytics and plant-to-cloud data
Media & Entertainment
Content intelligence, streaming data and audience analytics
Logistics & Supply Chain
Real-time visibility, forecasting and event-driven operations
Education
Learning platforms, AI tutors and student-data governance
Technology & SaaS
Platform engineering, AI features and multi-tenant scale
Recent work
Document intelligence
Automating complex document processing with generative AI. Extraction, classification and routing for a document-heavy workflow that had outgrown manual review.
Commerce
An end-to-end commerce platform built for scale. Custom storefront, inventory and order management on cloud-native infrastructure.
Apache Airflow & event-driven workflows
Airflow 3 migrations, health checks and 24/7 operations on MWAA, Cloud Composer, Astronomer and Kubernetes, with Apache Kafka for workflows that react to business events in real time.
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case studies
Trusted by industry leaders
Companies we've built for
Built to hold up under real-world scale and scrutiny
Production is the point
We measure engagements by what runs in production: evaluated, observed and supported. Not by demos, decks or proofs of concept that never ship.
Expert architects across the stack
Architects in AI, full-stack, data and cloud own your system end to end, with clear accountability at every step.
Governance built in
Security reviews, guardrails, audit trails and cost controls are part of the architecture from day one, not a checklist before go-live.
We stay for operations
The engineers who design your system can run it, under managed services with clear service levels and monthly reviews.
The Trizen Approach
From first conversation to steady-state operations
- 1
Discover
Agree the outcome, the constraints and the riskiest assumptions. You leave with a prioritized plan, not a ninety-page specification.
- 2
Shape
Architecture, domain model and sized requirements. Prototypes prove anything uncertain before it enters a sprint.
- 3
Build
Short iterations, working software every sprint and quality gates on every change.
- 4
Launch
Staged rollout, runbooks, documentation and handover or training.
- 5
Operate
Monitoring, incident response, cost and performance tuning; for AI, continuous evaluation of model and retrieval quality.
Perspectives
Thinking from the architects who build and run it
- Agentic AI
The orchestration layer is becoming the control plane for enterprise AI
AI agents are only as trustworthy as the system that schedules, limits and records them. Why we put Apache Airflow and event-driven orchestration at the centre of enterprise AI platforms.
Read more - Agentic AI
Building agentic AI platforms that survive production
Agents fail in ways traditional software does not. The platform capabilities — evaluation, guardrails, tool permissions and observability — that separate a production agent from a prototype.
Read more - Apache Airflow
Airflow 3 is a re-architecture, not an upgrade
Open-source Airflow 2 reached end of life on 22 April 2026. What actually changed in Airflow 3, what breaks, and how to plan a migration with zero downtime.
Read more
Planning a zero-downtime migration?
Tell us where you are and where you need to be. Our senior architects plan it, run it and own it.