BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.
Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.
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Dialpad Contact Center is Dialpad's AI-native platform for customer experience — the connective layer where conversations, intelligence, and action come together in real time.
At its core, Dialpad Contact Center is the world's first Agentic AI contact center: AI agents that don't just transcribe or summarize, but reason, resolve, and act autonomously across the full customer journey. Instead of routing customers between disconnected tools, Dialpad Contact Center unifies voice, digital, and human agents in one platform, connecting the voice and data silos that have historically kept support teams siloed and reactive.
Every interaction becomes part of a compounding intelligence layer. With 775M+ AI recaps and counting, Dialpad Contact Center turns each conversation into operational insight that improves resolution rates, agent productivity, and CX outcomes over time. That intelligence is continuously optimized, governed, and made visible across your organization through Dialpad's Guardian safety layer, ensuring secure, enterprise-grade AI operations at scale.
Dialpad Contact Center is built to resolve up to 80% of issues autonomously, reducing operational complexity while giving human agents the context they need for what still requires a human touch. People stay at the core; intelligence sits at the edge, ready to act the moment it's needed.
Rather than asking enterprises to take autonomy on faith, Dialpad Contact Center is validated through Dialpad's Proving Ground, so teams can confirm ROI and reliability before committing at scale — a modern alternative to legacy, static bots and fragmented support stacks.
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LangGrant
LangGrant connects large language models to your production databases for trusted, governed data analysis. Instead of one-off answers, it produces persistent, versioned Data Plans that show their work - the steps and logic behind every result. Teams review, validate, and reuse these plans without moving data. A single question can join data across multiple databases, and LangGrant auto-adapts to each schema. It works with models like Claude, OpenAI, and Google Gemini, and supports Snowflake, SQL Server, Oracle, PostgreSQL, BigQuery, Redshift, Azure SQL, Databricks, and MySQL. Data Plans move through a code-like lifecycle (test, sign-off, staging, approved) with access controls, PII protection, compliance validation, and audit trails. By reusing reasoning instead of paying AI for every question, it cuts cost, improves collaboration, and builds organizational intelligence. From the team behind Windocks, recognized by Gartner.
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