As enterprises race to move more of their most sensitive operations into digital systems, a quieter but increasingly urgent question is emerging: how do you share and process data without ever truly exposing it? For Silence Laboratories, a Palo Alto-based cybersecurity startup, that question is the core of the business.
Founded by Jay Prakash, Andrei Bytes and Tony Quek, the company is developing what it describes as mathematical, privacy-first infrastructure that allows organisations to jointly compute on encrypted data while keeping the underlying raw inputs hidden. Instead of relying on traditional legal contracts or third-party intermediaries to establish trust, Silence Laboratories says it replaces that model with cryptographic guarantees.
At the centre of the company's approach are advanced privacy-preserving techniques including Multi-Party Computation, or MPC, and Zero-Knowledge Proofs, or ZKP. In practical terms, these tools are designed to let multiple parties collaborate on a computation without any one party having to reveal its private data to the others. That makes the technology especially relevant in sectors where confidentiality, compliance and data integrity are non-negotiable, such as banking, fintech and digital assets.
The startup says its platform is already serving around 35 global clients across those industries. That customer base suggests there is real commercial demand for systems that can enable collaboration without forcing organisations to surrender control over their most sensitive information. In a world shaped by stricter privacy rules, rising cyber risk and the growing value of proprietary data, the promise of secure computation is becoming more than a theoretical idea.
Silence Laboratories is also positioning itself for a longer-term threat that is still largely ahead of the market but increasingly discussed in security circles: quantum computing. The company says it is pioneering post-quantum cryptographic security to protect digital assets against emerging quantum computing threats. The concern is straightforward but profound. As quantum machines become more capable, some of today's widely used encryption methods could become vulnerable, potentially exposing systems that were once considered secure.
That looming shift is forcing cybersecurity firms, financial institutions and infrastructure providers to think beyond current standards. Silence Laboratories is betting that organisations will need tools that are not only secure today, but resilient against the computational power of tomorrow. Its emphasis on post-quantum readiness places it in a growing category of startups trying to future-proof digital trust before the threat fully arrives.
The company's products are driven by what it calls a Cryptographic Computing Virtual Machine, or CCVM, which combines MPC and ZKP and is designed to operate without specialised hardware requirements. That detail matters because one of the biggest barriers to adoption for advanced security systems is often complexity. By avoiding the need for custom hardware, Silence Laboratories is aiming to make privacy-preserving computation more practical for real-world deployment.
The startup has raised $6 million in total funding so far and plans to raise additional capital, according to the source material. While the amount is modest compared with some of the larger infrastructure bets in the AI and cloud sectors, it reflects a focused effort to build foundational technology in a niche that could become increasingly important as data-sharing, regulation and quantum risk converge.
The broader market context is also shifting in Silence Laboratories' favour. As companies adopt more AI, cloud and cross-border data workflows, they are under pressure to prove that sensitive information can be used responsibly without being exposed unnecessarily. That pressure is especially acute in finance and digital assets, where trust is both a regulatory requirement and a competitive advantage.
Silence Laboratories is essentially arguing that trust should not depend on promises, contracts or middlemen alone. It should be embedded in the mathematics of the system itself. Whether that vision becomes a new standard for secure collaboration will depend on adoption, execution and the pace at which quantum threats move from theory to operational reality. But for now, the startup is making a clear case that the future of cybersecurity may be less about guarding data after it is shared, and more about ensuring it never has to be revealed in the first place.