Route1 applies to extend private placement by 30 days

Executive Summary

• Route1 Inc. has applied to the TSX Venture Exchange for a 30-day extension of price protection to complete the final closing of its non-brokered private placement, with the closing expected in the next couple of weeks.
• The company appointed Jerry Iwanski as interim Chief Financial Officer, effective December 1, 2025, replacing Tony Busseri, who remains President and CEO.
• Route1 announced the upcoming release of Version 4.0 of its software, featuring an AI co-pilot designed to optimize parking operations using on-premise infrastructure and advanced machine learning.

Key Details

• Financing Extension: Application submitted to TSX Venture Exchange for a further 30-day extension of price protection for the non-brokered private placement originally announced on Nov. 4, 2025.
• Closing Timeline: The final closing of the second and final tranche is intended to occur in the next couple of weeks.
• Conditions: Final closing is subject to receipt of further subscriptions and all necessary corporate and regulatory approvals, including TSX-V approval.
• Hold Period: All securities issued will be subject to a hold period of four months plus a day from the date of issuance.
• Insider Participation: Certain insiders of the company may participate in the final closing.
• Use of Proceeds: Net proceeds will be used to finance the development of Route1's actionable business intelligence software application.
• CFO Appointment: Jerry Iwanski appointed as interim CFO effective Dec. 1, 2025.
• CEO Role: Tony Busseri continues as President and CEO.
• Product Update (Version 4.0): Release scheduled for early 2026.
• AI Co-Pilot Features:
  • Acts as a force multiplier for staff capability.
  • Purpose-built to optimize parking operations.
  • Combines advanced machine learning with a secure, scalable platform.
  • Keeps sensitive data in-house via dedicated on-premise AI infrastructure.
  • Hardware includes three GPU servers, shared storage, solid-state checkpointing, and high-speed networking for low-latency performance.
  • Designed for 13B-70B models.
  • Capabilities include event-aware staffing, predictive compliance sweeps, proactive curb allocation, and strategic what-if investment planning.
  • Features adaptive learning through feedback, measurement, and refinement cycles.

Notable Quotes

• None explicitly quoted in the text, though the tone is promotional regarding the AI product.