Banza is building the private, user-controlled data consumption layer this new internet needs, an intelligence substrate between users and the AI agents and enterprises hungry for real behavioral context. Users opt in and self-attest their private digital interactions across the apps they already use; Banza transforms those interactions into standardized, anonymized signals delivered through APIs and Model Context Protocol connectors.
The sharpest claim is simple. Every Banza signal is cryptographically verified, not probabilistically inferred. Traditional data brokers, panels, and survey platforms produce educated guesses. Banza produces proofs. For an enterprise running personalization or an AI agent acting on a user’s behalf, that distinction collapses the difference between hoping a signal is true and knowing it is.
The foundation is OPzkTLS, Banza’s proprietary zero-knowledge TLS implementation. Existing zkTLS systems depend on third-party attestors, proxies, and notaries that introduce censorship risk, latency, and cost. OPzkTLS removes them entirely. As users keep attesting, their Personal AI Twin compounds in fidelity, a longitudinal moat that capital alone cannot replicate.
By seamlessly integrating third-party marketplace data with brand insights, Dcluttr delivers what other platforms cannot: real-time, proactive intelligence. When a campaign's ROAS dips or inventory drops across specific pin codes, brands get immediate alerts with actionable solutions, not reactive reports that arrive too late.
The platform's AI doesn't just aggregate; it performs automated root cause analysis, compares product performance across cities, tracks competitor pricing in real-time, and surfaces the granular insights that turn quick commerce complexity into competitive advantage.
