Recent developments in large language models have launched an accelerating pace of innovation in artificial intelligence. Over the years there have been multiple AI waves. With this current wave, a couple of things have changed drastically for the better. First, the technology is finally mature enough to deliver broad business value. Second, AI—especially generative AI—is far more accessible: most teams no longer need to train their own model and can instead rely on strong, publicly available, pre-trained models.

With these two shifts combined, we’re seeing interest reminiscent of the moment when the iPhone and App Store first launched. One thing hasn’t changed: companies still need to protect their most valuable data and demand strong security.

Starting ConfidentialMind

For this opportunity, we’re putting the band back together. Many of us are AI and data industry veterans with deep experience in real business use. We asked how this next AI wave will play out and how our skills could create a product that provides immediate value. Every technological wave needs safety and clarity.

This is why we chose to focus on protecting a company’s most valuable data while enabling efficient use and deployment of open-source AI models. Open-source models let companies build closed-loop systems that fully leverage confidential data—customer records, competitive intelligence, and other sensitive assets—without giving that data to third parties.

ConfidentialMind stack: what is it?

The ConfidentialMind stack offers a practical middle path between:

• relying on third-party models where information security is uncertain, and
• building all of the internal expertise required to run open-source models from scratch.

With our stack, you can deploy selected open-source AI models and connect your most confidential data to them inside your own infrastructure.

Instead of treating AI as a one-off per use case, you can examine the entire landscape of internal and external processes that can be streamlined with AI. The stack lets you build new AI-powered applications today—or augment existing systems (e.g., custom ERPs) to benefit from AI safely.

Open-source innovation in AI

Innovation in AI—especially language models—is increasingly driven by the open-source community. Open-source LLMs are improving at an accelerating pace and are actively chasing the capabilities of the largest proprietary models. For most companies, these models provide modern language understanding without massive investments in compute and people required for training from scratch. Many can be fine-tuned efficiently for domain-specific needs.

Over the past few months, we’ve spoken with companies of all sizes about where to start with AI—traditional machine learning and LLMs alike. Many don’t know how to begin. Our near-term product focus is ease of deployment for selected open-source language models and foundational security features our customers require.

The AI market is still early and changing quickly. One key value we provide is active curation: we track the technology closely and recommend models that we know work for specific use cases. We’re grateful to our early customers and partners, and we invite you to join us in building meaningful AI tools for the next generation of industry applications.

Get in touch

If you’re exploring how to integrate AI into your systems in a secure and cost-effective way, contact me at [email protected].