This company provides maritime performance software that transforms fragmented vessel data into verifiable performance truth using proprietary Ship Kernels. The platform enables accurate decision-making for increasing earnings, reducing operational costs, and lowering emissions across the shipping industry. It integrates via API with existing tech stacks to improve performance monitoring and warranty claims processes.
Funding
$360K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Existing ship performance modeling technologies often lack accuracy, leading to imprecise fuel efficiency analysis and hindering effective optimization strategies within the maritime industry. This inaccuracy obscures true performance insights, making it difficult for shipping companies to validate savings from decarbonization efforts and other operational improvements.
Solution
Toqua offers an AI-driven ship performance modeling solution designed to enhance fuel efficiency and provide verifiable savings for the maritime sector. By integrating with existing systems, Toqua's "Ship Kernels" technology refines performance analysis, enabling shipping companies to accurately quantify fuel savings achieved through retrofits, route optimization, and other initiatives. The solution leverages advanced AI algorithms to deliver up to 99% accuracy in ship performance modeling, facilitating better decision-making and supporting decarbonization goals. Toqua's technology helps validate the actual operational savings, allowing companies to make informed decisions and maintain compliance.
Target Audience
Toqua primarily targets shipping companies, fleet operators, and maritime technology providers seeking to improve fuel efficiency, validate savings, and enhance decision-making through accurate ship performance modeling.
Features
- AI-powered ship performance models with up to 99% accuracy, dependent on data quality and modeled relationships.
- Integration with existing systems to enhance route optimization, speed optimization, and maintenance planning.
- Validation of fuel savings from retrofits and other optimization efforts.
- Carbon-efficiency data sharing across stakeholders for performance-based chartering and sustainability-linked financing.
- Compatibility with various data collection providers and sensor data, including Noon Reports.
- Fuel-agnostic solution that reduces overall power requirements, regardless of fuel type.