Why are we working on this?

After years of working at global and European enterprises like ARM, Huawei, and Blackberry, we've made the usual observations that come with experience in large organizations. We've seen firsthand the complex web of custom internal processes, the sheer number of employees, and the vast customer bases these companies manage. Most strikingly, we've witnessed the enormous amounts of time spent on gathering, compiling, and filtering information – a seemingly endless task in these data-rich environments.

This experience led us to a critical realization: as AI usage spreads like wildfire inside companies, making employees more effective than ever, it's also creating unprecedented risks. People are feeding confidential company data into external LLMs to get faster results. With enterprises managing petabytes of proprietary information, the potential for data leaks and compliance violations is staggering.

This clash between the need for efficiency and the imperative to protect sensitive data sparked our mission: to solve these pressing problems and ensure that companies can harness the power of AI without compromising their data or compliance, regardless of the scale of their information assets.

What problem are we solving?

We're addressing the critical challenges that arise as enterprises adopt AI technologies:

1. Preserving Data Sovereignty: We ensure that enterprises maintain complete control over their data, keeping it secure and compliant with regulations.

2. Seamless Knowledge Integration: Our solution allows companies to effortlessly integrate their proprietary knowledge with powerful Large Language Models (LLMs), enhancing AI capabilities with company-specific insights.

3. Granular Access Control: We empower organizations to precisely control who has access to what data within the AI system, maintaining security while optimizing information flow.

By solving these key issues, we're building a secure, compliant AI platform that brings the power of LLMs directly to your data through on-premise systems. Think of it as a fully controllable, regulation-compliant AI assistant for your organization's knowledge base.

Our mission is to provide a path for enterprises to harness AI, innovate rapidly, and maintain data sovereignty – all without compromising on security or compliance.

Why now?

The AI landscape is evolving rapidly, but a critical gap remains unfilled. When you look at the current market, you'll notice that virtually no company offers enterprises the ability to fully host their AI solutions on-premise. This lack of true self-hosting options leaves many organizations vulnerable to data sovereignty and security risks.

Consider the success of GitLab in the version control and DevOps space. GitLab became a go-to enterprise tool largely because of its self-hosting capability, allowing organizations to maintain complete control over their code and development processes. We're bringing this same level of control and security to the world of enterprise AI.

Furthermore, while Retrieval-Augmented Generation (RAG) systems are gaining traction, no one is optimizing every component of these systems to work seamlessly together. We saw an opportunity to create a solution where each part of the RAG system is fine-tuned to complement the others, resulting in a highly optimized and cost-effective platform.

By offering a fully self-hosted, highly optimized RAG system, we're not just filling a gap in the market – we're redefining what enterprises should expect from their AI solutions. We're creating an opportunity for organizations to leverage AI more effectively and efficiently than ever before, all while maintaining complete control over their data and infrastructure.

The time is now to empower enterprises with AI solutions that are as secure and compliant as they are powerful and cost-effective. Join us in shaping this new era of enterprise AI, where the benefits of cloud AI meet the security and control of on-premise solutions.