KNOREX Ltd. (“KNOREX” or the “Company”), a leading provider of AI-driven programmatic advertising solutions, announced the full-scale commercial deployment of major enhancements to KNOREX KAIROS™ after more than six months of selective deployments, the Company’s proprietary artificial intelligence decisioning infrastructure powering bid optimization and performance modeling within the KNOREX XPO™ platform.

The upgraded KAIROS Bid Model and CPA Model, now deployed across live automotive campaigns, have delivered:

• 47% average improvement in click-to-conversion quality

• 45% average reduction in cost per acquisition (CPA)

• Click-to-conversion rates exceeding 10% — more than 5x the ~2% industry benchmark

• Campaign performance uplift ranging from 25% to 100%

These measurable performance gains materially improve advertiser unit economics, return on ad spend (ROAS), and campaign scalability.

AI Engine Designed for Outcome-Driven Monetization

KNOREX KAIROS™ is the Company’s proprietary AI engine that powers predictive bidding, traffic quality modeling, and outcome-based optimization across programmatic advertising campaigns. Operating within the scalable KNOREX XPO™ platform, KAIROS continuously analyzes real-time behavioral signals, engagement patterns, and downstream conversion data to identify high-intent users, suppress low-quality traffic, dynamically optimize bids, and improve measurable business outcomes.

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The significantly enhanced KAIROS Bid Model strengthens KNOREX’s ability to filter non-converting traffic before it reaches advertiser landing pages, materially improving traffic quality and conversion efficiency. Observed click-to-conversion rates exceeding 10% substantially outperform typical industry and native platforms’ averages.

In parallel, the upgraded KAIROS CPA Model has materially improved cost efficiency across automotive servicing campaigns, reducing average CPA by 45%. These improvements enable dealerships and automotive advertisers to acquire higher-intent customers while preserving budget efficiency, supporting stronger ROAS and more sustainable scaling of campaigns.

Driving Revenue Scalability and Operating Leverage

By integrating predictive traffic quality modeling with downstream conversion optimization, KNOREX shifts campaign performance from click-centric metrics to outcome-driven economics. This AI-driven approach enhances monetization efficiency for advertisers while reinforcing the scalability of the KNOREX XPO™ platform.

The commercial deployment of these upgraded AI models supports KNOREX’s strategy to drive long-term revenue scalability, strengthen advertiser retention, and improve platform-level operating leverage. As advertisers realize improved acquisition economics and measurable performance gains, KNOREX is positioned to expand campaign budgets and deepen client relationships across verticals.

Strengthening Competitive Position in AI-Driven Programmatic Advertising

These advancements reflect KNOREX’s continued investment in proprietary AI technologies designed to deliver scalable, performance-driven programmatic advertising. By combining bid quality optimization with CPA-focused modeling within a unified AI infrastructure, KNOREX enhances its differentiated competitive position in the rapidly evolving AI-driven advertising market.

The Company intends to extend these KAIROS’ enhancements across additional verticals as part of its broader strategy to deliver measurable business results and drive sustainable revenue growth.