About
Built by Engineers, focused on Results.
EvoQ was founded by two people who spent their careers inside large, complex organizations, building, running, and modernizing enterprise infrastructure from the inside.
Our Story
We started EvoQ because we kept seeing the same pattern: businesses investing heavily in technology while getting very little strategic return. Systems that didn't talk to each other. Data that sat in silos. New tools layered on top of old ones without a coherent plan.
The root cause was seldom a lack of technology. It was a lack of architecture, a coherent strategy that connects business goals to the systems that serve them.
We built EvoQ to fix that. A firm designed from the start to serve organizations navigating digital transformation in AI, data, infrastructure, and the systems that connect them.
Mid-Market
Our focus
AI & Data
Core specialization
4-Phase
Proven methodology
Independent
No vendor ties
The Team Behind EvoQ
Sooraj G Nair
Co-Founder & Principal Consultant
Sooraj is an enterprise architect and technology strategist with 12+ years of experience across infrastructure modernization, AI operations, hybrid cloud architecture, large-scale infrastructure management and implementation, and core connectivity systems. He bridges business systems knowledge with deep technical expertise to deliver technology that creates meaningful outcomes for organizations and the people they serve. He holds an MBA in Sustainable Innovation from the University of Victoria.
Education
- MBA, Sustainable Innovation — University of Victoria
- B.Tech, Electronics and Communication Engineering — Amrita Vishwa Vidyapeetham
- Certificate, Enterprise Risk Management — University of Toronto
Core Expertise
Enterprise architecture, hybrid cloud and SASE, AI operations, infrastructure modernization, core connectivity systems, investment planning, stakeholder advisory, and change management.
Sreejith Munthikodu
Co-Founder & Chief Technology Officer
Sreejith is a data engineer and applied AI practitioner with a background spanning mechanical engineering, data science, and full-stack platform development. He designs and builds data pipelines, analytical platforms, and AI/ML systems across Azure, GCP, and AWS. His engineering foundation gives him a systems-level understanding of how data infrastructure connects to real-world operations.
Education
- Master of Data Science — University of British Columbia
- MASc, Mechanical Engineering with specialization in Machine Learning and Intelligent Systems
Core Expertise
Data engineering, data science, AI/ML systems, Python, SQL, Kubernetes, Azure, GCP, AWS, pipeline architecture, database design.
Our Approach
We are not a Traditional Consultancy, and neither are we just a traditional integrator.
“We don't add more tools. We make your existing ones work together.”
Engineers, not account managers.
The consultants you meet are the consultants who deliver.
No vendor ties.
We recommend what is right, not what earns us a referral fee, and we carry no bias.
Sized to your reality.
Enterprise-grade thinking without enterprise-scale overhead.
Transformation Readiness Gate.
We would rather pause than set you up to fail.