ZetrixwebEngineering depth across the technologies that power modern systems.
We combine proven, production-tested depth in generative AI, agentic systems, cloud, and data engineering with a broader bench across machine learning, business intelligence, computer vision, and IoT - so your project gets the right technical foundation, not a one-size-fits-all stack.
Technology Depth
Nine technology areas, one accountable engineering team.
Generative AI, agentic systems, cloud, data engineering, and automation are where we have the deepest production track record. Machine learning, business intelligence, computer vision, and IoT round out the bench for teams that need a broader technical partner - each scoped honestly against your specific requirements before we commit to a timeline.
Generative AI & LLMs
Copilots, content generation, and knowledge assistants built on LLM integration, RAG, and prompt/eval pipelines, engineered to integrate with your existing workflows.
See AI & GenAI SolutionsAgentic AI
Autonomous agent workflows that observe, reason, and act within policy guardrails - built for customer support, operations, and decision-support use cases.
See AI Agent DevelopmentBusiness Process Automation
Workflow and RPA-driven automation that removes manual handling from operations, approvals, and back-office processes.
See AutomationCloud & DevOps
CI/CD and infrastructure automation across Azure, AWS, and Google Cloud, built for reliable, repeatable, cost-aware deployments.
See Enterprise DeliveryData Engineering & Analytics
Warehousing and real-time pipelines on PostgreSQL, MongoDB, and modern ETL stacks - data that actually informs the next decision.
Explore Solutions HubMachine Learning
Predictive models and forecasting built on your own data - scoped on a call against the specific pattern you need to detect or predict.
Discuss Your Use CaseBusiness Intelligence
Dashboards and reporting layers that turn scattered operational data into a single source of truth for decision-makers.
Discuss Your Use CaseComputer Vision
Image and video recognition for inspection, classification, or verification workflows - scoped against your data and accuracy requirements.
Discuss Your Use CaseIoT
Connected-device data capture and analysis for operational monitoring and predictive maintenance use cases.
Discuss Your Use CaseTechnology expertise, answered directly.
Our core delivery depth is in generative AI and LLM integration, agentic AI workflows, cloud engineering across Azure, AWS, and Google Cloud, data engineering and analytics on PostgreSQL and MongoDB, and business process automation - backed by shipped, production engagements.
Yes. Alongside our proven GenAI, cloud, and data engineering delivery, our team takes on machine learning, computer vision, and business intelligence engagements - we'll scope these honestly against your specific requirements on a call before committing to timelines.
Yes. Most of our technology work is integration into an existing mobile, web, or backend system rather than a rebuild - through secure APIs, data pipelines, and phased rollout rather than a rip-and-replace.
Not sure which of these fits your project? Talk to us and we'll map the right technology stack to your actual requirements.