Simra
Chief Executive Officer
Strategy, AI adoption, operating models
Who We Are
TrizenAI Technologies Private Limited is a team of AI engineers, software architects and platform specialists who take intelligent systems from idea to production, and keep them running.
To help organizations put AI and modern software into production safely, reliably and economically, and to keep it running.
To be the engineering partner enterprises trust with the systems they can't afford to fail.
We deliver targeted solutions that address specific business challenges with surgical precision.
Our commitment to quality ensures every solution exceeds industry standards and client expectations.
We build lasting relationships through transparent communication and collaborative development.
We leverage cutting-edge AI technologies to create solutions that define industry futures.
Our story
TrizenAI was founded in 2025 in Chennai by engineers who had watched promising AI and software projects stall between prototype and production. We set out to build a firm that owns the whole path: the model, the application, the data pipelines and the infrastructure underneath. Today we are an OpenAI and Anthropic partner and a specialist in Apache Airflow and event-driven workflows, working with teams from fast-growing startups to global brands.
we judge our work by what runs, not by what demos.
the people who build a system are accountable for how it behaves in production.
risks are raised while they're cheap to fix, never at the deadline.
reviews, tests and quality gates on every change, not just at milestones.
security, privacy and efficient use of compute are built into every architecture.
Chief Executive Officer
Strategy, AI adoption, operating models
Chief Technology Officer
Architecture, Airflow, engineering practice
CDO
Data platforms, operations, managed services
we invest in the open-source ecosystems our clients depend on, such as Apache Airflow and Apache Kafka, share what we learn through our perspectives and engineering write-ups, and mentor engineers early in their careers.
efficient by default. Rightsized infrastructure, scheduled workloads and model choices that avoid unnecessary compute lower both cost and carbon.
we hire for range. Different backgrounds produce better engineering decisions, and we aim for teams that reflect the clients and users we serve.
We build on AWS, Microsoft Azure, Google Cloud and Cloudflare, and on open-source platforms including Apache Airflow, Kafka, Spark and Cassandra.
Beyond client work, we build our own products:
Whether you have a system to build or want to build a career on production-grade engineering, we'd like to hear from you.