Cluster is a search company working to build AI-powered search that respects user privacy.
AI-powered search will have a vast impact on how people find and interact with information. While no one can foresee every outcome this technology will have on society, we do know that building powerful search tools requires both innovation and intentional consideration of privacy implications.
We believe privacy and powerful AI capabilities shouldn't be mutually exclusive. Through our work on private search technology, we aim to show what responsible AI-powered search looks like in practice—tools with user privacy at their foundation.
We treat privacy as a core design principle, not an afterthought. Our approach combines research into privacy-preserving technologies, practical application in our products, and transparent communication about both our capabilities and limitations.
Privacy-First Architecture. We've built our infrastructure to minimize data collection and retention. We don't build user profiles, we don't sell data, and we design our systems to operate with the least amount of personal information necessary.
Honest About Trade-offs. Privacy-preserving technology comes with challenges. We're committed to being transparent about what we can and cannot do, and we continuously work to improve our approach as technology and best practices evolve.
User Control. We believe users should have clear control over their data. Our tools are designed to put you in charge—you decide what to save, what to delete, and how your information is used.
Our product enables AI-powered search and information retrieval while maintaining user privacy. Users can search for information, ask questions, and interact with AI assistants without their queries being used to build advertising profiles or sold to third parties.
We're focused on creating tools that are both useful and respectful of user privacy. This means making deliberate choices about what data we collect, how we process it, and how long we retain it.
Our approach is iterative. We continuously evaluate our systems, respond to user feedback, and adapt as we learn more about building privacy-preserving AI tools at scale.
We're a team of researchers, engineers, privacy advocates, and operators who bring experience from search, security, AI research, and privacy technology. We share a common belief that powerful technology and user privacy can coexist.
Building privacy-preserving AI search requires expertise across many domains—from system architecture to cryptography, from user experience to policy. We're continuously learning and bringing diverse perspectives to our work.
As AI-powered tools become more prevalent in how people search for and consume information, questions about privacy and data use become increasingly important. We believe there's value in building alternatives that prioritize user privacy from the ground up.
The integration of AI into search creates new opportunities—more conversational interactions, better context understanding, more helpful responses. But it also raises questions about how personal data flows through these systems. We're working to demonstrate that you can build powerful AI search tools while respecting user privacy.
This work is part of a broader ecosystem. Many organizations, researchers, and advocates are thinking about privacy-preserving technologies. We're just one piece of this evolving puzzle, and we benefit from and contribute to the wider community working on these challenges.
If you're interested in helping build privacy-preserving AI search tools, we'd like to hear from you. We're looking for people who bring deep expertise in their domains and share our commitment to user privacy.
For general inquiries, partnerships, or press questions, please contact us at team@clusterbase.ai.