Snowflake (SNOW)
Q4 FY2026
Mentioned as Google Cloud
Context: expanded native access to leading foundation models with Anthropic, Google Cloud, and OpenAI to enhance secure model choice and platform flexibility
Use cases: observability for data and AI workloads • AI coding for data engineering
expanded native access to leading foundation models with Anthropic, Google Cloud, and OpenAI to enhance secure model choice and platform flexibility
Box (BOX)
Q3 FY2026
Mentioned as Google Cloud
Context: multi-year strategic collaboration with Amazon to integrate Box MCP server with Amazon Quick Suite and availability on AWS Marketplace • integration with Anthropic's Claude Skills API and support for Claude Sonnet 4.5
Use cases: document and image data extraction • agentic workflow orchestration across teams
multi-year strategic collaboration with Amazon to integrate Box MCP server with Amazon Quick Suite and availability on AWS Marketplace
Box (BOX)
Q1 FY2026
Mentioned as Google Cloud
Context: IBM partnership: use IBM watsonx, IBM Granite and Meta Llama models with Box AI • Support for Google Gemini, Google Gemma, Meta Llama 4, NVIDIA Nemotron, OpenAI models and xAI Grok
Use cases: Search • Deep Research
IBM partnership: use IBM watsonx, IBM Granite and Meta Llama models with Box AI
CrowdStrike (CRWD)
Q1 FY2026
Mentioned as Google Cloud
Context: Collaboration with Microsoft to coordinate identification and tracking of cyber threat actors across vendors • Expanded partnership with Google Cloud to enable end-to-end security for AI innovation from code to cloud
Use cases: Modern SOC operations using agentic response and workflows • Managed threat hunting for third-party data
Collaboration with Microsoft to coordinate identification and tracking of cyber threat actors across vendors
Elastic (ESTC)
Q1 FY2026
Mentioned as Google Cloud
Context: Collaboration with Dell and Nvidia to power the Dell AI Data Platform using Elasticsearch • Strategic partnership with the U.S. General Services Administration to enable federal agencies to modernize IT using the Elastic Search AI platform
Use cases: security threat detection, triage, and investigation (SIEM/EDR augmentation) • unstructured data search for AI data platforms
Collaboration with Dell and Nvidia to power the Dell AI Data Platform using Elasticsearch
UiPath (PATH)
Q1 FY2026
Mentioned as Google Cloud
Context: bi-directional integration enabling orchestration of Microsoft Copilot Studio agents with UiPath Maestro • Google Cloud partnership powering Medical Record Summarization via Vertex AI and Gemini 2.0 Flash
Use cases: orchestrating AI agents and automations for end-to-end processes • AI-augmented software testing
bi-directional integration enabling orchestration of Microsoft Copilot Studio agents with UiPath Maestro
Atlassian (TEAM)
Q4 FY2025
Mentioned as Google Cloud
Context: Expanded strategic partnership with Google Cloud to combine Atlassian's AI-powered teamwork platform with Google Cloud's AI-optimized infrastructure and accelerate multi-cloud AI delivery.
Use cases: developer terminal agent for code automation • code understanding to improve code quality and productivity
Expanded strategic partnership with Google Cloud to combine Atlassian's AI-powered teamwork platform with Google Cloud's AI-optimized infrastructure and accelerate multi-cloud AI delivery.
Elastic (ESTC)
Q4 FY2025
Mentioned as Google Cloud
Context: Integrated Elasticsearch as a native RAG option for Google Cloud Vertex AI enabling joint customers to build RAG workflows • Collaboration with NVIDIA to recommend Elasticsearch as vector database for NVIDIA Enterprise AI Factory and deliver GPU-accelerated indexing and vector search
Use cases: RAG application development • LLM performance observability
Integrated Elasticsearch as a native RAG option for Google Cloud Vertex AI enabling joint customers to build RAG workflows
Datadog (DDOG)
Q1 FY2025
Mentioned as Google Cloud
Context: Highlighted product launches and expanded BigQuery monitoring at Google Cloud Next
Use cases: detect and resolve data quality issues • column-level data lineage for data quality
Highlighted product launches and expanded BigQuery monitoring at Google Cloud Next
ServiceNow (NOW)
Q1 FY2025
Mentioned as Google Cloud
Context: integrating NVIDIA's Llama Nemotron reasoning models onto the ServiceNow Platform • collaborating with Google Cloud on Agent2Agent (A2A) interoperability protocol
Use cases: autonomously handle customer service workflows • autonomously handle network operations workflows
integrating NVIDIA's Llama Nemotron reasoning models onto the ServiceNow Platform