Proxet at Snowflake Summit 2026: making AI real for business

We're coming back to Snowflake this year to turn the summit's theme, "Making AI Real for Business," from an industry aspiration into your operational reality.

The market has moved beyond talking about the potential of AI. At Proxet, we know that making AI real goes far beyond the model; it requires a unified architecture where rigorous data engineering, high-performance analytics, and robust AI workflows converge to turn your infrastructure into a true competitive advantage.

Our technical focus

Proxet focuses on the hard engineering required to make the Snowflake Data Cloud perform under the demands of real-world enterprise applications.

• Data product engineering: We architect scalable, governed data models on Snowflake that power everything from real-time BI to secure, low-latency data endpoints for your AI agents and customer-facing applications.
• Actionable data intelligence: We bridge the gap between data and decision-making by delivering clean, standardized, and real-time analytics that empowers every business unit — from C-suite reporting to frontline operational insights.
• AI/ML operationalization: We move models out of the sandbox. We design and secure production-grade AI workflows directly within Snowflake, ensuring your intelligence is as reliable as it is scalable.
• Performance & FinOps architecture: We refactor legacy systems for massive scale while optimizing Snowflake compute costs, ensuring your infrastructure is fast and efficient.
• Integrated engineering teams: We embed senior engineers directly into your sprints to accelerate delivery, bridge knowledge gaps, and ensure long-term platform sustainability.

Meet us at Snowflake Summit

We're at the Summit to talk shop with engineering and data leaders who are currently navigating the complexities of scaling their Snowflake environments. If you're dealing with a specific architectural bottleneck or need to accelerate your current delivery roadmap, let's talk.