Sol PBC Raises Y Combinator-Backed Funding to Build Privacy and Identity Layer for AI Agents
Sol PBC, a public benefit corporation building decentralized identity and privacy infrastructure for AI agents and autonomous systems, has raised early-stage funding as it develops tools designed to give individuals and organizations more control over data sharing in machine-to-machine environments.
According to publicly available startup data, Sol PBC has raised seed-stage backing through participation in the Y Combinator Winter 2026 cohort, which includes an initial investment of approximately $125,000 as part of its accelerator program. This early capital supports the company’s efforts to build a privacy-first identity layer for AI-native applications.
Sol PBC is focused on solving a growing challenge in the AI ecosystem: how autonomous systems, agents, and applications authenticate, share data, and interact securely without exposing unnecessary personal or organizational information. The company is developing a decentralized identity and permissioning system that allows users and machines to control what data is shared, with whom, and under what conditions.
The startup’s platform is designed to function as a trust and identity layer for AI agents operating across multiple systems and environments. As AI-driven automation becomes more widespread in enterprise workflows, software agents increasingly need to access sensitive APIs, databases, and services. Sol PBC aims to provide the infrastructure that governs these interactions in a secure and privacy-preserving way.
The company’s funding remains primarily tied to its participation in Y Combinator, with no additional institutional venture capital firms or angel investors publicly disclosed at this stage. As with other early YC-backed companies, the funding provides initial runway along with access to mentorship, technical resources, and enterprise networks.
Sol PBC operates at the intersection of decentralized identity (DID), privacy engineering, and AI infrastructure. Its architecture is built around enabling cryptographically verifiable identity credentials and programmable permissions that can be enforced across distributed systems. This allows AI agents and applications to prove identity and access rights without relying on centralized authentication providers.
The company’s approach reflects broader trends in AI infrastructure, where increasing autonomy of software systems is driving demand for new trust frameworks. Traditional identity systems, designed for human users and centralized applications, are often insufficient for AI agents that operate continuously, interact programmatically, and span multiple platforms.
Sol PBC’s system is intended to enable fine-grained control over data flows, ensuring that sensitive information is only shared when explicitly authorized. This is particularly relevant in enterprise environments where AI agents may access financial systems, customer data, or operational infrastructure.
As part of the Y Combinator Winter 2026 cohort, Sol PBC is currently focused on product development, early prototyping, and validation with potential enterprise users. The company is building toward a broader vision of an internet where identity and permissions are embedded directly into machine-to-machine interactions rather than layered on top of existing systems.
While its disclosed funding remains limited to accelerator support, Sol PBC is positioned within a rapidly emerging category of AI infrastructure startups focused on trust, safety, and identity for autonomous systems. Investors across the broader ecosystem have shown increasing interest in decentralized identity and AI governance technologies as AI agents become more deeply integrated into enterprise workflows.
With backing from Y Combinator, Sol PBC is continuing to develop its privacy-first identity protocol, aiming to establish foundational infrastructure for secure and permissioned AI interactions across distributed digital environments.
