Our Work
Our Approach
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tilt uses a bottom-up approach by assessing small and medium-sized mainly non-listed companies. In doing so, it fills the gap for climate assessment of non-listed companies as currently most data and rating providers focus on listed companies or larger non-listed companies.
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tilt follows the principle of transparency. We provide detailed information on our data sources and the methodology of our indicators developed in feedback sessions with several banks. The indicator methodology will be publicly available and free to access.
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tilt aims to assess climate-relevant information of companies at the most granular level possible - we aim for the product level. Once climate-relevant information is assessed on a product level, it is aggregated to the company level.
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tilt aims to generate solutions in the most automated way possible, for example, relying on solutions with external data without banks having to collect their own data, and creating code that banks can run smoothly without manual input.
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tilt gathers publicly available information from companies, such as information shared from companies on B2B platforms. The publicly available information is then matched with other (climate) data sources that are open-source or non-commercial.
Are you interested in our methodology?
tilt version 1: Support Documentation
Over the last months, we developed a first methodology and gathered the data necessary to build climate profiles for SMEs. The data and methodology are currently being tested. It is the start of our journey to deliver open-source, credible climate profiles assessing European SMEs.
tilt road-tests: Feedback Briefing notes
Over the last months, we tested the first tilt version with 5 banks. Based on the banks’ feedback we are currently enhancing our methodology, data and code to calculate the climate profiles. If you are curious what the banks told us, please check out the feedback briefing note.
Curious about banks’ feedback on our first roadtesting phase?
How to receive our sample data and code
We are currently enhancing our dataset based on the user-group banks’ feedback. We plan to publish our first dataset that can be freely used by the end of 2023. However, if you are already interested or want to test the current version please contact us. If you want to check out where we stand on the code side (even though it is still work in progress), please check out our GitHub page.
tilt at events
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In May 2024, we had the chance to present our work at @Phineo Startup’s Collective Impact Summit. The Event concluded the 6-months-long impact startups incubator programme at @phineo startups. A big thank you to @Phineo Startups for their guidance and support along the way! Although this chapter ends, our quest for impact continues.
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In March 2024 this year, we got awarded as top 3 finalist in the category “Go Faster” of the Climate Finance Catalyst Contest hosted by the Climate Safe Lending Network (CSLN). The contest is the “the first global search for breakthrough financial solutions to decarbonise the banking sector and real economy” and we are extremely proud to see our work being recognized as a breakthrough solution by the jury of 23 renowned industry experts and sustainable finance leaders.
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In November 2023, tilt became part of the Phineo Impact Startup Incubator, a program dedicated to support projects and startups in solving the polycrisis. Being part of that program, tilt received invaluable support in developing a sustainable business model aimed at maximizing our impact in addressing the climate crisis.
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In October 2023, tilt was referenced as an emerging data source in the Cambridge Institute for Sustainable Leadership's Bank Action Guide, a comprehensive blueprint for banks to include SMEs in the net-zero transition.
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The Oxford Sustainable Finance Group launched a new programme on Natural Language Processing for Sustainable Finance (NLP4SF), led by Dr Julia Bingler. We were invited to talk about tilt and our climate data. If you are interested also in seeing which other fantastic projects were presented during the symposium, please find the YouTube video here.
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We were invited to take part on a panel on the topic “Beyond ChatGPT: Can NLP help us solve Climate Change?”. This is the recording of the event "NLP + Climate Tech", taking place at the AI Campus Berlin and organized by Briink and Climate Change AI.
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We were invited to present tilt at the largest data-driven community. Check it out here.