Proving product value with embedded analytics

This talk demonstrates a platform that translates product data into executive-ready, embedded analytics, visually proving customer value through AI and traditional visual analytics.

OpenAI Claude DuckDB-Wasm SvelteKit Mosaic

Overview

When your product drives value for your customers, can they see it? In traditional Customer Success workflows, outcomes are buried in spreadsheets and decks, if they’re available at all. That becomes a growth problem when your customer asks, “What value are we actually getting from this?”

We built a platform to turn product data into proof of value with executive-ready, embedded analytics. The Build Agent translates a business objective into metrics, analysis questions, and a visualization specification. Product outcomes become visual stories in a best-practice, performant dashboard and a paired natural-language data agent.

Video

Links

https://www.ridgedata.ai/
Ridge embeds browser-native Mosaic dashboards and LLM agents into SaaS.

Tech stack

OpenAI

OpenAI is an AI research and deployment company: We build safe artificial general intelligence (AGI) to benefit all of humanity.

OpenAI is a premier AI research and deployment company, focused on developing safe Artificial General Intelligence (AGI) for global benefit. The organization operates under a unique structure: a non-profit Foundation governs a for-profit Group, which functions as a public benefit corporation. Its technology portfolio includes industry-defining models like the GPT series (e.g., GPT-4o, GPT-5.1), the conversational platform ChatGPT, and the text-to-video model Sora. These tools drive innovation across multiple sectors, providing powerful, accessible AI capabilities for developers, businesses, and consumers worldwide.

https://openai.com

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Claude

Claude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.

Claude is a next-generation AI assistant developed by Anthropic, a research firm prioritizing AI safety. The models (including Opus, Sonnet, and Haiku) leverage Constitutional AI to ensure helpful, honest, and harmless outputs, a key differentiator from competitors. Claude excels at complex enterprise tasks: processing massive context windows for in-depth data analysis, generating and reviewing code, and providing expert-level summarization for documents up to 200,000 tokens. It is deployed as a conversational chatbot and via API, offering scalable AI solutions for developers and businesses.

https://claude.ai/

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DuckDB-Wasm

An in-process analytical SQL database engine powered by WebAssembly that brings high-performance OLAP capabilities directly to the browser.

DuckDB-Wasm delivers fast analytical queries inside client-side environments (including Chrome, Firefox, Safari, and Node.js) by compiling the core DuckDB engine to WebAssembly. It integrates with Apache Arrow for zero-copy data transfers and reads Parquet, CSV, and JSON files directly from local filesystems or HTTP APIs. By shifting heavy OLAP workloads to the user's browser, it eliminates round-trips to backend servers and simplifies interactive data visualization.

https://github.com/duckdb/duckdb-wasm

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SvelteKit

SvelteKit is the official application framework for Svelte, delivering full-stack capabilities (routing, SSR, API endpoints) for building robust, performant web applications.

SvelteKit is the official meta-framework for Svelte, streamlining full-stack web development. It provides essential features: filesystem-based routing, configurable rendering (SSR, SSG, CSR), and API endpoints, all built on Vite for a lightning-fast development experience. This architecture, similar to Next.js or Nuxt, handles complex infrastructure, allowing developers to focus on writing minimal, compiled Svelte components. The result: high-performance, production-grade applications with easy deployment via platform-specific adapters (e.g., Vercel, Netlify).

https://kit.svelte.dev

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Mosaic

Mosaic provides the high-performance infrastructure and software libraries required to train large-scale AI models with maximum efficiency.

Mosaic (now part of Databricks) provides the specialized stack to train massive generative AI models with surgical precision. The platform uses its open-source Composer library to implement 20+ efficiency methods (like Selective Backprop and BlurPool) that reduce training costs and speed up timelines by up to 7x. Engineering teams leverage this infrastructure to build models like MPT-7B across multi-cloud GPU clusters while maintaining absolute ownership of their weights and data.

https://www.mosaicml.com

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Proving product value with embedded analytics

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