#Japan #Tokyo #AI Security #coiai #On-Premise AI

coiai Launches On-Premises AI to Enhance Data Security

In a bid to empower small and medium-sized enterprises (SMEs) with AI capabilities while ensuring data integrity and security, coiai, a tech company based in Nerima, Tokyo, has unveiled its new On-Premises AI solution. This innovative approach enables businesses to leverage AI technologies within their premises without the risks associated with transmitting sensitive data externally.

Addressing the Hidden Risks of Shadow AI

The rise of generative AI and machine learning technologies has led to increased adoption among businesses aiming to streamline operations through automation. However, alongside this growth, a serious threat known as Shadow AI has emerged. This phenomenon occurs when employees inadvertently use unauthorized external AI tools, causing potentially disastrous data leaks. Examples of these risks include:

• - Customer data exposure: Entering client lists into AI platforms that transmit information off-site.
• - Technical information misuse: Analyzing production data with external AI, leading proprietary insights to be exploited.
• - Private data leaks: Utilizing AI for internal content editing that compromises confidential information.

Many SMEs are caught in a dilemma: while the urgency to integrate AI is evident, inadequate information management policies and a lack of specialized personnel make it difficult to mitigate these risks. Coiai’s On-Premises AI presents a solution to these contradictory challenges.

Secure AI Processing Within the Company

coiai's On-Premises AI solution allows businesses to harness the power of AI without sending data to external servers. Key features include:

• - Data protection: The AI is designed to operate without any internet connection, effectively preventing external access.
• - High-speed inference: It functions reliably even in environments where network connectivity is unstable, such as factories.
• - Tailored applications: It offers optimized models for specific applications like image inspection and demand forecasting.
• - No cloud billing risks: The pricing is predetermined, ensuring transparency and no surprise costs.
• - Immediate implementation: Coiai provides ready-to-use PCs configured to run the solution, minimizing the setup time.

This approach not only eliminates the risk of data breaches but also facilitates a constructive environment where AI can be used correctly, allowing businesses to advance their digital transformation initiatives safely.

Strong Suitability for Manufacturing Challenges

The need for AI in manufacturing is paramount, especially in areas requiring immediate decision-making, such as:

• - Visual inspections (image recognition)
• - Hazard detection
• - Equipment maintenance
• - Data analysis of machinery

Traditional cloud-based AI systems often face challenges like latency, service interruptions during connectivity failures, and data leakage risks when sharing with external platforms. However, coiai’s On-Premises AI allows for high-speed processing on-site, enhancing operational capabilities without disrupting production.

Accessible Pricing and Support

To democratize AI adoption for SMEs, coiai offers a comprehensive support package that includes:

• - A complete setup with server installation and AI model development assistance.
• - No requirement for in-house technical expertise.
• - A monthly subscription plan for easier financial planning.

This model shatters the stereotype that only large corporations can implement AI, providing a viable pathway for smaller enterprises to enter the AI landscape.

Company Profile

• - Company Name: coiai, Inc.
• - Location: 3-6-9 Seki-machi Kita, Nerima-ku, Tokyo
• - Business Activities: Web development, XR and 3D development, business system development, AI implementation support.
• - Website: coiai.net/on-premise
• - Email: [email protected]

With these initiatives, coiai is paving the way for a new era where SMEs can safely leverage AI technology to elevate their business operations and market competitiveness.