ValueXI adds DeepSeek and Gemma support for secure AI integration

Why it matters for the corporate AI integration

ValueXI is a suite of prebuilt AI modules designed for data analytics, forecasting, and process automation across key departments. The addition of DeepSeek and Gemma 3 enhances these capabilities, giving users the flexibility to choose the LLM best suited to their use case — balancing performance, cost, operational scenarios, and security.

The new models significantly outperform the previously available LLaMA 3 in processing speeds, response consistency, and accuracy, especially when handling complex or high-volume queries. This matters for businesses where AI-driven insights, automation, and decision-making must scale securely and efficiently.

Flexible, secure deployment options

Organizations can choose to run the models on ValueXI’s infrastructure or deploy them entirely within their own secure environment, provided they have sufficient hardware and technical resources.

This flexibility is particularly valuable for companies with strict regulatory, privacy, or vendor compliance requirements.

Key business benefits

By integrating DeepSeek and Gemma, ValueXI empowers businesses to advance their AI strategies while maintaining full control over their data.

Key benefits include:

• Full data control. On-premise deployment minimizes leakage risks and simplifies compliance with data privacy regulations and internal security protocols.

• Better data quality. ValueXI evaluates input data quality and provides recommendations to improve accuracy and completeness.

• Faster AI implementation. Prebuilt modules reduce time-to-value for key AI use cases such as document processing, customer service automation, and forecasting — no need to  start the AI project from scratch.

• Easy integration. A unified interface connects LLMs with internal systems for seamless AI deployment.

A step toward autonomous AI

With ValueXI, companies gain autonomous AI infrastructure, reducing reliance on cloud providers while securing strategic control of data and operations. This is especially valuable for enterprises pursuing long-term, self-managed AI strategies.