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Public Profile
Computer Services
AU
updated 2 months ago

Seeing Machines Limited Sustainability Profile

Company website

Seeing Machines Limited, headquartered in Australia, is a pioneering technology company specialising in advanced driver monitoring systems (DMS) and artificial intelligence (AI) solutions. Founded in 2000, the company has established itself as a leader in the automotive and transport sectors, with significant operations across North America, Europe, and Asia. The firm’s core products, including its flagship DMS technology, are designed to enhance safety by monitoring driver behaviour and ensuring alertness. What sets Seeing Machines apart is its unique ability to provide real-time insights through sophisticated computer vision and machine learning algorithms. With a strong market position, Seeing Machines has achieved notable milestones, including partnerships with major automotive manufacturers and recognition for its innovative contributions to road safety. As the demand for intelligent transport solutions grows, Seeing Machines continues to drive advancements in the industry.

DitchCarbon Score

How does Seeing Machines Limited's carbon action stack up? DitchCarbon scores companies based on their carbon action and commitment to reducing emissions. Read about our methodology to learn more.

16

Industry Average

Mean score of companies in the Computer Services industry. Comparing a company's score to the industry average can give you a sense of how well the company is doing compared to its peers.

32

Industry Benchmark

Seeing Machines Limited's score of 16 is lower than 87% of the industry. This can give you a sense of how well the company is doing compared to its peers.

13%

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Seeing Machines Limited's reported carbon emissions

Seeing Machines Limited, headquartered in Australia, currently does not report any specific carbon emissions data for the most recent year, as no emissions figures are available. Consequently, there are no recorded Scope 1, 2, or 3 emissions to analyse. Additionally, the company has not established any documented reduction targets or climate pledges, indicating a lack of formal commitments towards carbon neutrality or emissions reduction initiatives at this time. As a result, Seeing Machines Limited's climate commitments remain unclear, and there is no inherited emissions data from a parent or related organization. The absence of specific emissions data and reduction initiatives highlights an opportunity for the company to enhance its sustainability efforts and align with industry standards for climate action.

How Carbon Intensive is Seeing Machines Limited's Industry?

Very low
Low
Medium
High
Very high
Some industries are more carbon intensive than others. Seeing Machines Limited's primary industry is Computer Services, which is very low in terms of carbon intensity compared to other industries.

How Carbon Intensive is Seeing Machines Limited's Location?

Very low
Low
Medium
High
Very high
The carbon intensity of the energy grid powering a company's primary operations has a strong influence on its overall carbon footprint. This request for Seeing Machines Limited is in AU, which has a very high grid carbon intensity relative to other regions.

Seeing Machines Limited's Climate Goals (2030 & 2050)

Climate goals typically focus on 2030 interim targets and 2050 net-zero commitments, aligned with global frameworks like the Paris Agreement and Science Based Targets initiative (SBTi) to ensure alignment with global climate goals.

Seeing Machines Limited has not publicly committed to specific 2030 or 2050 climate goals through the major frameworks we track. Companies often set interim 2030 targets and long-term 2050 net-zero goals to demonstrate measurable progress toward decarbonization.

Science Based Targets Initiative
Carbon Disclosure Project
The Climate Pledge
UN Global Compact
RE 100
Climate Action 100
Race To Net Zero
Reduction Actions

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Where does DitchCarbon data come from?

Discover our data-driven methodology for measuring corporate climate action and benchmarking against industry peers

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