Case Studies

Non-technical users needed to access and analyze data from massive public blockchain datasets (Bitcoin, Ethereum, Solana) available in BigQuery, along with real-time crypto market data. Queries against massive datasets were extremely expensive, some took several minutes to execute, and users didn't know how to optimize their questions.

Financial analysts needed to research complex queries across multiple data sources — SEC filings, market data, internal databases, and documents — but existing tools required switching between platforms and manual data synthesis.

Businesses needed powerful AI bots with complex workflows, but building custom bots required significant development time and technical expertise. Each use case required custom code, making it impossible for non-technical teams to deploy and iterate.

The Global CTO Forum needed a digital hub that could connect technology leaders worldwide, support community features, networking, mentoring, and serve as a showcase platform for corporate partners to reach a global network of CTOs.

Raw videos contained valuable product information, but extracting and making this data searchable at scale was impossible without manual processing. The client needed an automated system to convert unstructured video content into structured data.

Medical laboratories struggled with managing test workflows efficiently. Pathologists spent significant time manually reviewing reports to identify critical values, with no systematic way to leverage patient history for contextual analysis.