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GBase 2.0 Launch: Redefining White-Collar Work with AI

Introduction
Sparticle Inc., headquartered in Chuo City, Tokyo, has officially released GBase 2.0, a groundbreaking AI knowledge platform that integrates the world’s first cloud version of Claude Code. With this upgrade, GBase 2.0 introduces a unique AI agent function capable of performing everything from non-standard data handling to trend analysis seamlessly.

Transforming Work Processes
GBase 2.0 allows businesses to reduce the time spent on various tasks—such as document organization, meeting records, market research, and report creation—by up to 80%. In contrast to other AI tools that merely answer questions, GBase 2.0 aspires to be a 'doer AI', aiming to deliver tangible results in professional settings.

The Need for Actionable AI
The need for an AI that can take action in real-time has arisen in business environments. The evolution from AI chatbots to AI partners signifies a shift towards providing assistance that creatively enhances the workflow of diverse knowledge workers, including sales, planning, and research personnel.

Technological Innovations
The incorporation of Claude Code was once limited to local execution for developers. However, GBase has made significant strides by integrating this capability into a secure and scalable SaaS environment, employing a robust technology framework.

1. Parser: It semantically structures unstructured data like PDFs, Word documents, and Excel sheets, enabling AI to understand the intent behind entire documents. For instance, a manual three-hour information extraction process can now be completed in just two minutes.
2. Docker: This technology facilitates a secure execution environment, ensuring complete data separation among users.
3. Elastic File System (EFS): EFS allows data to be securely shared across multiple containers, maintaining coud-based 'memory'.
4. Stateless Architecture: GBase 2.0 consolidates session configurations to support thousands of simultaneous user connections, making the platform highly scalable.

The Core Features of GBase 2.0
GBase 2.0 aims to link generative AI directly with practical outcomes, marking its evolution from merely delivering answers to concluding business processes. Here are some of its notable features:

• - Automating meeting preparation, minutes recording, and follow-ups, boosting sales productivity by up to 40 times.
• - High-precision document searches based on Claude Code enhancing data retrieval.
• - Real-time information analysis using web searches combined with Jina AI MCP.
• - Automated PPT generation and data analysis report creation through Python integration.
• - SaaS connectors linking with Google Drive, SharePoint, and Box.
• - Cross-utilization of corporate knowledge to automatically generate proposal documents and client reports.
• - Real-time sharing of team knowledge within a cloud environment.

With these features, GBase 2.0 serves as a symbol of the shift from generative AI to execution AI, further accelerating the automation of white-collar work and the utilization of knowledge.

Practical Use Cases
The GBase Agent has found applications across diverse business domains such as sales, planning, and marketing. Some practical scenarios include:

• - Sales Preparation: Automatically organizing client background information and previous minutes, reducing preparation time by 90%.
• - Follow-up Tasks: Extracting action items from minutes of meetings and automating competitor and regulatory research.
• - Sales Analysis: Identifying key moments of trust-building from six months’ worth of recorded meetings using AI.
• - Report Generation: Automatically creating PPT reports from Excel and PDF data using python-pptx.

Moreover, GBase integrates with existing internal knowledge bases through SaaS connectors like Google Drive, SharePoint, and Box, evolving corporate information utilization from 'data searching' to 'knowledge application'.

Future Outlook: Intelligence Transformation of Corporate Knowledge
Sparticle envisions 'knowledge democratization', striving to convert all corporate information assets into actionable insights.

Company Overview

• - Company Name: Sparticle Inc.
• - Location: 3F, Nihonbashi Mori Building, 6-12 Kodenmachou, Nihonbashi, Chuo City, Tokyo
• - CEO: Tatsuya Kaneda
• - Business Operations:

- AI consulting
- AI research and development
- AI product development
- AI software design and development services
- SaaS
- Cloud service implementation

For More Information:
Visit Sparticle's Official Website or reach out via their Contact Form.

Conclusion
With GBase 2.0, Sparticle is poised to transform the landscape of white-collar work, paving the way towards a brighter, more productive future in the realm of knowledge work.