The gap between AI potential and AI reality is well documented — and startups are stepping up with innovative ideas to close that gap. The 2026 Snowflake Startup Challenge submission pool showed just how many startups are taking new approaches and building data-driven apps and platforms that expand on the promise of AI.
We selected 10 companies as our 2026 Startup Challenge semifinalists, but we also wanted to highlight a few startups from around the world as “ones to watch.” From Glasgow to Perth, they are asking — and answering — interesting questions such as “Why do infrastructure projects still rely on 2D drawings?” and “What could energy companies do if alert data was easier to manage and understand?” Let’s take a closer look at what these three companies are building on the Snowflake AI Data Cloud.
Virtual reality that transforms project management: That’s the vision of UK-based Holoplan. Its immersive VR/MR platform integrates with Jira to transform complex project data into interactive 3D visualizations, bridging Jira with 3D Digital Twins and using smartphone LiDAR to create virtual “war rooms” where physical assets are live-linked to project tasks. Project teams can walk a remote job site, identify conflicts before construction begins and test alternative infrastructure layouts without a single on-site visit, which can significantly reduce survey times.
Snowflake serves as the primary data backbone for Holoplan, providing the scalability and performance needed to meet the requirements of 3D point clouds and near-real-time synchronization. Snowpark for Python powers spatial processing and pathfinding algorithms inside Snowflake, which helps reduce latency. Dynamic Tables support the virtual “war rooms” concept by synchronizing Jira data and 3D model coordinates as updates happen. Holoplan also uses Snowflake Cortex to integrate fully-managed ML and LLMs directly into the spatial data workflow, plus Cortex Analyst and Cortex Search and LLM functions to provide natural-language interfaces and allow users to “chat” with their project data.
As renewable energy portfolios — and interest in them — expand, it’s clear that the energy industry does not lack data. What it does lack is the ability to quickly and consistently turn the thousands of alerts flowing in from systems, reports and sensors into structured, explainable, commercially-aware intelligence. Scotland-based Hypercube’s solution is designed to bridge that gap with a unified asset management platform built specifically for renewable energy infrastructure.
Using Snowflake tools including Snowpipe Streaming and Snowpark, Hypercube’s Tesseract ingests technical alerts with business context (such as maintenance history or contract terms), groups related alerts, prioritizes them based on technical and commercial risk, and generates recommendations. However, Tesseract goes beyond traditional alert aggregation tool functionality to serve as a context-aware decision intelligence layer. Users can query the system, trigger actions and make assignments all in natural language, then quickly generate management reports, audit documentation and contract evidence packs with end-to-end traceability.
Perth, Australia-based Unified Honey argues the real bottleneck to building governed data models isn’t AI capability — it’s the inability to capture how a business actually operates. That missing layer includes the process logic, domain rules and relationships that make data trustworthy and useful for agents.
To address this problem, the company’s Data Product Studio inverts the conventional approach to data modeling. Instead of starting from raw tables and building up, it starts from business processes and compiles down. Users define their domains and workflows, and Cortex AI analyzes that context to identify the entities involved, map relationships and propose standardized metrics with plain-language definitions. The output compiles directly into Snowflake Semantic Views — governed data products directly consumable by Snowflake Intelligence, Cortex Agents and Copilot. Snowpark Container Services hosts the application runtime; Snowflake Horizon provides the governance and access-control framework; Streams and Tasks manage incremental processing and metadata refresh cycles; and user-defined functions (UDFs) handle custom logic and a tamper-evident audit trail.
Want to be there when we crown the 2026 Snowflake Startup Challenge winner? Register for Snowflake Summit and Dev Day to see the finale and explore over 500 demos, expert sessions, Q&As and hands-on labs designed to show you the latest Snowflake developments, jump-start innovative ideas and set you up for success in the era of the agentic enterprise.
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