alooki Technology Inc.: federal grants and contributions: 17 agreements; $1.8M value; 3 departments; 7 programs.
Assay record ASY-CA-0YHHTKM1EN · Cite as: Assay Systems, “alooki Technology Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/alooki-technology-inc/
Alooki Technology is developing an advanced AI/ML-based inspection system to automatically detect quality and safety defects in white fish fillets, such as nematodes, blood spots, and bones. Designed for real-time operation on high-speed processing lines, the system will improve food safety, reduce product waste, and support automation across seafood production. The solution is adaptable to both cod and pollock and aims to strengthen the competitiveness of Canadian seafood processors through innovative, non-invasive quality control.
The project is focused on market diversification leveraging existing baseline functionality and algorithms and expanding into processing line unit weight and moisture level prediction. The solution will leverage sensor technology, advanced photogrammetry and machine learning.
Undertake business and product development activities to accelerate market expansion
This project represents an initial phase of a broader program to develop a scalable AI-driven sensing and analytics platform for food processing. This phase focuses on building modular machine learning components and data integration frameworks that can be reused across multiple applications rather than developed as one-off solutions.
The inaugural phase of the Crab Transfer Robotic Arm Software Development project earmarks a critical juncture where technology meets innovation to revolutionize the crab processing industry. Encompassing approximately 1800 person hours, this phase is chiefly dedicated to meticulously defining the cutting-edge robotic technology that can be seamlessly programmed to meet our specific needs, consequently ushering in a new era of efficiency and precision in the crab processing pipeline. The focal point of this phase is the strategic positioning of a robotic arm, bridging the gap between two pivo
This project will evaluate how Canadian-developed AI and machine vision food quality technologies can support defence-sector supply chains. Activities include engagement with DND and related stakeholders, analysis of procurement requirements, and development of a roadmap aligning existing food inspection technologies with defence food safety standards. The initiative strengthens Canadian innovation capacity and enhances domestic resilience in critical food supply infrastructure.
The project is focused on 2 specific areas where the firm has seen potential to reduce their costs and expand their offering. They intend to put the role of problem identification in the hands of the customer so that the customer can easily recognize where a problem exists. The firm will then design a solution or mitigation using their tools. The other big initiative in this project is developing a high accuracy measurement technique using computer vision.
Canada's Fisheries Fund will transform and drive innovation in the fish and seafood sector in Canada with a focus on developing the sector to better meet growing market demands for sustainably sourced, high-quality fish and seafood products.
Engage expertise to develop enhanced digital features to improve scalability
Engage expertise to accelerate product development efforts to drive revenue growth
Alooki technology will be configured to identify anomalies in a fish packaging line to identify when errors happen and to send an alert to an operator of the error.
This International Co-Innovation Action Program (ICAP) project will prepare the firm to enter into future international co-innovation work in Germany.
The Alooki Technology product will be configured to identify anomalies in a fish packaging line to identify when errors happen and to send an alert to an operator of the error.
This project is an opportunity for Alooki to build the basic customer facing technology supports required to onboard expected growth in a number of paying customers and processes. As well, this project will include a review of internal operational processes to assess, recommend and implement technological efficiencies.
This new hire will assist with data collection, machine learning model development, Python-based system integration, and dashboard implementation. They will start with foundational tasks and progressively take on more responsibilities, gaining hands-on experience in software development, data processing, and real-time automation.
The project involves analyzing cost drivers, implementing data lifecycle policies to minimize waste, and optimizing storage accessibility for Research and Development machine learning workflows and client support.
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.