Grants and Contributions

The purpose of this CanExport Innovation agreement is to support Canadian organizations to carry out activities related to pursuing opportunities that would lead to establishing new collaborative Research and Development (R&D) partnerships between the Recipient and foreign organizations in order to support R&D on the Recipient’s technology and advance its commercialization.

The rise of AI-driven search engines, such as Amazon Rufus and ChatGPT Search poses a major challenge for e-commerce businesses: existing search engine optimization (SEO) techniques, which relied on keyword-based ranking, are becoming ineffective in an AI-first shopping experience.
To address this, Ecomtent will develop new AI algorithms that dynamically adjust product descriptions, images, and metadata to align with AI-driven ranking systems like Amazon Rufus.

Improving real-time video streaming performance by incorporating bleeding edge technology to reduce bandwidth, packet loss, and input latency while streaming 4K @ 60 Frames per second.

The project plan is to develop an AI-based camera system specifically designed for live music recording and streaming.

The Project will support pilot testing, determining the target architecture and quantitative technical objectives for implementation of an AI solution in weight management.

Active control of laser parameters to prevent overheating in laser powder bed additive manufacturing processes, thereby improving efficiency, surface finish and structural supports.

Serenity Vet is developing a platform-based solution to improve shift conversion and client engagement in the veterinary relief care sector. This project will fund a youth hire in Inside Sales and Customer Success to increase paid shift adoption among existing users.

This project is to design, build, and test a first-of-its kind prototype of a 4-compartment recycling truck body to collect 4 source separated streams.

Researching, developing, and testing a system and supporting hardware to interact with multiple acoustic sensors arranged on a target site to provide automated results and attribution of acoustic emissions using temporal and audio data as well as weather and location data and provide real-time alarms and feedback to site owners or relevant stakeholders. This will help develop a working prototype of a new system which replaces the old process reliant on synchronous data collection and manual processing of data.

The project will support the assessment of data quality and data sources for AI project development. The project may also characterize and document aspects of data for AI and Data Governance.