Google Cloud has unveiled Agentspace, a new platform that promises to help businesses make sense of their vast and fragmented data to develop better GenAI applications.
The platform brings together Google’s Gemini AI technology and enterprise search capabilities, aiming to solve a common pain point for businesses—workers toggling between multiple tools to find the information they need.
At its core, Google Agentspace aims to address data fragmentation, which is a pressing challenge faced by enterprises in developing GenAI applications. Workers often juggle multiple tools to access critical information, losing valuable time in the process.
Research from Google indicates that employees typically rely on four to six platforms to find answers, leading to inefficiencies. Agentspace seeks to cut through these silos by providing a single, intelligent system that integrates with popular enterprise tools like Confluence, Jira, Microsoft SharePoint, and ServiceNow.
“For enterprises, brilliance isn’t just about individual genius – it’s about the collective intelligence within an organisation,” said Saurabh Tiwary, vice-president and general manager of Google Cloud AI.
“But this brilliance is often hidden in silos, inaccessible to those who need it most, when they need it most,” he noted.
Early adopters such Nokia and FairPrice are already reaping the benefits of this innovative platform. Telecom equipment company Nokia uses Agentspace to blend data from various sources, generating personalised, contextually relevant insights that streamline workflows and accelerate decision-making.
Similarly, Singapore supermarket chain FairPrice is building an organisation-wide research and assistance platform to minimise manual effort, empowering employees with seamless access to insights across documents, systems, and third-party applications.
Agentspace integrates Google’s Gemini’s advanced reasoning capabilities and Google’s renowned search expertise. The platform offers three key features.
First, it provides multimodal search, combining text, images, video, and audio for comprehensive enterprise search. Second, it offers seamless app Integration with pre-built connectors for tools like Confluence, Jira, Microsoft SharePoint, and ServiceNow.
The third feature is an enhancement of NotebookLM- originally launched as a consumer-facing research assistant – with security features like role-based access controls and encryption.
This enterprise version will enable employees to analyse, synthesise, and summarise complex information. For example, human resource teams could use it for onboarding new employees, while customer service teams might analyse past tickets to identify common issues and craft FAQ responses.
Agentspace goes beyond search by enabling enterprises to build custom AI agents for specific business needs, whether in marketing, legal, finance, or engineering. Google plans to launch a low-code visual tool to make it easier for employees to create and fine-tune these agents.
“Google Agentspace makes your employees highly productive with a single prompt – it helps them accomplish complex tasks that require planning, research, content generation, and actions,” Tiwary said.
In addition, Agentspace APIs allow businesses to extend its capabilities to legacy systems. For instance, a static intranet can be transformed into an intelligent assistant that proactively surfaces relevant documents and automates routine tasks.
Ultimately, Google hopes that Agentspace will provide a plug-and-play AI platform that seamlessly integrates into existing ecosystems.
By combining search, analysis, and automation, the platform is designed to unlock the collective intelligence within organisations, empowering employees to focus on innovation rather than tedious processes.
