ABOUT RANKIGI
The trust layer for autonomous AI.
Mission
AI agents are becoming operators — executing code, moving funds, accessing systems on behalf of humans. RANKIGI exists to ensure every action they take is observed, recorded, and verifiable.
The problem we're solving
AI agents are being deployed at scale across finance, healthcare, legal, and infrastructure — industries where accountability isn't optional. These agents execute trades, access patient records, generate legal documents, and manage cloud infrastructure, often with minimal human oversight. The capabilities are extraordinary. The accountability infrastructure is nearly nonexistent.
Most organizations have no reliable way to answer basic governance questions: What did the agent do? When did it do it? What data did it access? Was the action authorized? Traditional logging was designed for applications, not for autonomous agents that make decisions and take actions across multiple systems. Logs can be modified, entries can be deleted, and there is no way to prove the record hasn't been tampered with.
Regulators are moving faster than most organizations realize. The EU AI Act requires event logging and transparency measures for high-risk AI systems. SOC 2 auditors are asking about AI agent controls. HIPAA covered entities are discovering that autonomous agents create audit obligations they never planned for. The organizations that build governance infrastructure now will be the ones regulators and enterprise buyers trust later.
The cost of retroactive governance is always higher than proactive governance. Building audit infrastructure after an incident means reconstructing event histories from fragmented logs, implementing controls under time pressure, and demonstrating compliance to skeptical regulators. Building it before the incident means capturing a complete, cryptographically verifiable record from day one — one that any auditor can independently verify.
Why we built this
As AI agents transition from assistants to autonomous operators, the infrastructure to govern them doesn't exist yet. RANKIGI is building that infrastructure — starting with the audit trail. We believe that tamper-evident, cryptographically verifiable records of agent behavior are the foundation that makes enterprise AI adoption possible. Not because regulation demands it (though it does), but because trust requires proof.
Company
Category
We're defining a new category: AI Agent Governance Infrastructure. The same way Stripe is payments infrastructure for the internet, RANKIGI is trust infrastructure for the agentic web.
Contact
Your agents are running. Are they governed?
Every unobserved agent action is an unrecorded liability.