Qlok, Inc.
Edward R. Starrs
Summary
Qlok builds QATI Enterprise, an AI execution-control platform that governs AI-driven actions before they reach real enterprise systems. QATI evaluates authority, policy, risk, context, system state, and instability, then returns enforceable decisions such as allow, deny, delay, restrict, escalate, or fallback.
Notable Achievements
QATI Enterprise SDK commercially available. SDK MVP complete. Internal validation across 68 risk events and 7 datasets. 11 AI and quantum-related patent filings. AWS Marketplace seller profile approved. qati.ai production migration and paid subscription launch in preparation. Existing angel investment of $300,000.
Pitch Video
The Business
Qlok is commercializing QATI Enterprise, an AI execution-control platform for enterprises deploying autonomous AI workflows, copilots, and AI agents. QATI sits between AI systems and the tools, APIs, data, infrastructure, and workflows they can access. Before an AI-driven action executes, QATI evaluates authority, policy, risk, context, system state, and instability, then returns an enforceable decision.
Qlok’s revenue model includes QATI Enterprise licensing, usage-based governance, premium integrations, dedicated deployments, and qati.ai subscriptions. The initial revenue path is qati.ai paid subscriptions, followed by 60-90 day enterprise pilots and expansion into annual licensing plus usage-based governance.
The Market
AI is moving from answers to actions. Enterprises are connecting AI to APIs, databases, cloud infrastructure, financial systems, code deployment workflows, and internal operations. This creates a new control problem: governing what AI is allowed to do before actions reach real systems.
The AI governance market is expanding rapidly, with AI governance software spend projected to reach $15.8B by 2030 and the AI governance market projected to reach $5.78B by 2029. Qlok targets a focused $100M ARR opportunity within five years, representing less than 1% of projected 2030 AI governance software spend. QATI sits at the intersection of AI governance, AI security, agentic AI, cybersecurity automation, and enterprise execution control.
Objective/Future (Use of funds)
The Team
Edward R. Starrs is the founder and CEO of Qlok, Inc. He is a technology founder, inventor, and former public-company CEO with more than 25 years of experience building and commercializing fintech, payment-security, AI governance, and advanced-compute technologies. At Qlok, he leads strategy, financing, partnerships, commercialization, and the qati.ai subscription launch.
Timothy West is the Founding CTO of Qlok, Inc. He is an AI and advanced-systems technology executive with more than 15 years of experience in R&D, engineering, commercialization, and technical operations. At Qlok, he leads QATI architecture, platform engineering, technical validation, enterprise deployment readiness, and advanced intellectual-property development.
Growth Roadmap
Next 100 days: complete qati.ai paid subscription launch, AWS Marketplace readiness, production-platform migration, usage analytics, billing, entitlements, and enterprise pilot outreach.
6-12 months: convert first QATI Enterprise pilots, expand qati.ai subscriptions, build customer usage data, strengthen channel and investor introductions, and prepare for a larger institutional seed round.
12-24 months: expand enterprise deployments, add premium integrations, support dedicated customer environments, and grow usage-based governance revenue.
3-5 years: scale QATI into a core AI execution-control layer for autonomous enterprise AI, targeting more than $100M ARR as AI governance becomes required enterprise infrastructure.
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