Sluice: The Activity Log for Secure AI Integrations
Helping regulated companies monitor, redact, and verify every action taken by automated AI agents before they connect to private databases.
The Security Gap
AI Agents are executing actions without supervision.
Companies are delegating tasks like automated invoice processing, credit scoring, or customer support to AI agents. These agents communicate via APIs *(APIs - Application Programming Interfaces, digital bridges used to connect software tools)*.
The Solution
Sluice: A Secure Audit Log Gateway
Sluice operates as a middleware proxy (a digital checkpoint sitting between the AI agent and the company's internal databases). It monitors requests in real-time, automatically redacts PII *(PII - Personally Identifiable Information like email addresses or phone numbers)*, blocks unauthorized transactions, and saves an immutable cryptographic log for external auditors.
First Target Market (Beachhead Wedge)
KYC & AML (Know Your Customer & Anti-Money Laundering) checks in Fintech & Payments
Fintech companies run thousands of automated client verifications daily. These workflows handle highly sensitive PII data and are subject to massive regulatory scrutiny, making them the ideal high-value entry point for Sluice.
How We Compare
The AI Security Space
Execution Roadmap
Launch the interactive dashboard demo to show how Sluice works. Identify our first 100 target enterprise clients.
Launch the interactive dashboard demo to show how Sluice works. Identify our first 100 target enterprise clients.
Deploy the initial working software. Contact our first 20 target accounts and schedule initial feedback calls.
Plan a trial integration with a partner company. Verify our data formats and complete a working audit logs demo.
Sign at least 1 paid pilot trial and secure 1-2 formal commitments (LOIs - Letters of Intent) from clients.
Onboard 5-10 paying enterprise clients, reaching a run-rate of £150k - £500k ARR (ARR - Annual Recurring Revenue).
Use of Capital
Funding Allocation
Background in enterprise data compliance systems, machine learning architectures, and legacy SSL *(SSL - Secure Sockets Layer, secure internet communication protocols)* data integration servers.
