YagnoTech takes organizations from AI ambition to production capability — governed data platforms, privacy-first AI pipelines, and cloud infrastructure engineered for reliability, auditability, and scale.
“Build the right thing. Build it well. Deliver without drama.”
Yagno draws from Yajña — the ancient practice of a deliberate, exacting offering made with full attention and integrity. It is the spirit we bring to every system we build: precise, accountable, and made to last. We don't chase hype cycles. We engineer infrastructure that organizations can stake reputations, regulators, and millions of users on.
From strategy and governance to production delivery — we modernize critical data systems with senior technical execution, not slideware.
Assess data maturity, identify high-value AI use cases, and define practical roadmaps for LLM, analytics, and automation initiatives that survive real enterprise constraints.
Design AI and data platforms with access control, lineage, auditability, and privacy safeguards — operating patterns that make advanced analytics trustworthy at scale.
Architect lakehouse, warehouse, and analytics platforms on Azure, AWS, and GCP using modern patterns across Databricks, Synapse, Fabric, Redshift, Glue, Athena, and BigQuery.
Move legacy warehouses, Hadoop estates, and on-prem pipelines into resilient cloud architectures with disciplined migration planning and continuity controls.
Build observable ETL/ELT pipelines using Azure Data Factory, Apache Spark, Airflow, AWS Glue, Talend, and Informatica — reliability and governance designed in from day one.
Senior architecture reviews, stack selection, and delivery planning — with cross-functional alignment between engineering, analytics, legal, compliance, and leadership.
Cloud migration, PII governance, and PIPEDA-aligned warehousing for a regulated Canadian credit union.
Province-scale licensing data, privacy masking, and road-safety analytics for a Crown corporation.
Global music data infrastructure, rights compliance, and CI/CD automation for a US-listed platform.
A privacy-by-design digital dining platform, built and operated by YagnoTech, live in market.
Evidence of execution across regulated, high-scale, and operationally sensitive systems — not sandbox experience.
The senior expertise of a top consultancy, without the overhead, hand-offs, or drama.
Founded on the academic principle that privacy must be designed in, not bolted on — built for PIPEDA, GDPR, CCPA, CPRA, and HIPAA-aligned engagements.
Four IEEE publications and a graduate thesis in data-privacy systems. Evidence-based architecture decisions, not vendor marketing.
Ingestion → streaming → transformation → warehousing → ML → reporting → governance. We deliver the whole pipeline, not one layer.
Certified and actively deployed on Azure, AWS, and GCP — so we architect for your environment rather than a vendor preference.
Dinify is live and deployed, built to the same standards we apply to clients. We own delivery end-to-end — not just advice.
Crown corporations, Canadian financial institutions, and a US-listed media company with international compliance obligations.
Our methods trace back to peer-reviewed work in AI, data privacy, and systems design — a foundation most boutique firms can't claim.
We bring the mindset of builders to every engagement — including our own live product.
A modern digital dining platform connecting restaurants with customers — streamlining menus, ordering, operations, and customer insight through practical, data-driven technology.
Clear governance, practical milestones, and senior execution from discovery through production handover.
Clarify goals, data landscape, compliance constraints, stakeholders, and risks before recommending a path.
Define target architecture, delivery phases, governance model, and commercial structure for confident decisions.
Deliver in focused cycles with demos, documentation, observability, and risk management built in.
Production readiness, knowledge transfer, and post-launch support so your team operates with confidence.
YagnoTech Inc. is a Canadian technology firm focused on enterprise AI engineering, governed data platforms, cloud modernization, and privacy-first architecture. Our work sits where technical execution, compliance, and business-critical delivery meet.
The firm is led by Karan Tongay, who holds an MSc in Computer Science focused on data privacy from the University of Victoria, is a published IEEE researcher, and carries AWS and Microsoft certifications. His work spans differential privacy, LLM integration, cloud migrations, and large-scale ETL across Azure, AWS, and GCP.
We engage as senior technical partners for organizations that need more than implementation support: clear architecture, accountable delivery, executive-ready communication, and systems that can be operated long after launch.
If your organization is modernizing data infrastructure, evaluating enterprise AI, or building privacy-first analytics capabilities, YagnoTech can shape the architecture and deliver the work.
