About Burnside Project
Enterprise‑grade AI and data infrastructure — built for your cloud, with full control, unlocked potential
Our Mission
To level the playing field—empowering every business, big or small, to leverage enterprise-grade data infrastructure and AI insights.
Our Story
Founded by industry veterans who experienced firsthand the challenges of implementing robust data infrastructure, Burnside Project was born from the belief that powerful data solutions should be accessible to every business. We combine deep technical expertise with a passion for solving real-world problems.
Our Values
The principles that guide everything we do
Partnership
We don’t just deliver tech—we collaborate, ensuring your needs shape the roadmap
Innovation
We prototype fast, iterate continuously, and embrace real‑world feedback to evolve smarter
Transparency
We believe in clarity at every step—no hidden costs, no black-box solutions. From architecture diagrams to billing, you’ll always know what’s happening in your cloud
Resilience
Systems should bend, not break. We design for fault-tolerance, high availability, and recovery so your business never skips a beat
Sustainability
We optimize for cost and efficiency—less compute waste, fewer unnecessary cycles, and greener data practices that scale responsibly
Customer Empowerment
We don’t lock you in—we enable you. Our goal is to leave your team stronger, capable of running and extending your own platform long after onboarding
Our Journey
Key milestones in our company's growth and evolution
Company Founded
Started with a vision to make enterprise-grade data solutions accessible to all businesses
Feature Store Platform Focus
Launched our managed, cloud-agnostic feature store platform that accelerates ML data-platform implementation by 60 %—from ingestion to real-time feature delivery.
Multi-Cloud Foundation
We delivered the first cloud-agnostic deployment of our platform, giving clients freedom to run on AWS, GCP, or Azure without rewriting pipelines
Open Standards Feature Store Integration
Added support for open-source, open-standard feature stores (Feast, Hopsworks, Iceberg-backed layers), ensuring ML features remain portable, reproducible, and future-proof across clouds.
AI Feature Store Enablement
Introduced feature store modules that bridge raw data pipelines with ML workflows—making high-quality, real-time features instantly available for training and inference
Ready to Work Together?
Let's discuss how we can help transform your business with innovative data solutions
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