About
We’re on a mission to democratize data
The problem
Data is has become exclusive and is now viewed with suspicion. Over the last decade, concerns about data privacy, security breaches as well as complex regulations have made many people skeptical about the use of data and its questionable sources.
At the same time, the increasing complexity of the data stack has excluded many individuals and groups from the data experience, limiting their ability to use data to inform decisions and understand the world around them.
What is more, the breath of data available on the internet today and the scattering of sources usually means hours spent finding and verifying information. A simple question can turn into a wild goose chase.
We want to fix all of this starting with open data sources and easy access to re-imagine what data should have always been.
Our vision
Our aim is to revolutionise data as we know it. We want to rebuild trust and positivity, create transparency and informative systems, unlock economical opportunities.
To put it simply, we want to create value for society through data.
We want to switch the negative perception by democratising data. We are committed to making data more open, ethical and accessible to everyone and we believe that a more open and inclusive approach to data can enable more people to benefit from the power of it.
Our work
While on a mission to democratize data and access to it, we are developing an ecosystem in which people of all technical levels can effortlessly access and engage with high-quality and trustworthy data.
We’re doing this by focusing on three key elements:
Open data
We only use open and non-personal data published by reliable sources. It guarantees an ethical layer with fragmented and diverse data sources.
Easy access
We create an open platform where people can access the data easily in ways that work best for their needs. We make available tools which allow real interaction with data, from exploration and visualisation to extraction (charts, maps, datasets, APIs, dashboards, etc.).
AI enhancement
As diverse and rich open data is, it will always be incomplete. To provide the closest representation of the real world we are filling in the gaps and enriching the open data using AI models developed in-house. While today, we fill in the gaps, in the future, we will forecast and generate new data through AI. This is what we are monetising.
Newsroom
Materials and publications on Work With Data
Press Kit
You get in touch with us at: press@workwithdata.com
Available materials
Media
Here are a few publications about Work With Data:
millefeuille.ai - Article - 19.09.2023 (FR)
DataGen - Podcast - 02.05.2023 (FR) The Choice - Interview - 25.10.2022 (EN) Startups of London - Podcast - 7.10.2022 (EN) Forward Thinking Founders - Podcast - 28.12.2021 (EN)On social media
Connect with us on social media
Careers
Discover our values and current job opportunities
Or send us an email: careers@workwithdata.com
Our values
We hire and work according to those
Humility
We leave our ego at the door, always are open-minded and seek to understand first. We believe in transparency rather than politics.
Impact with Integrity
We create value for the ecosystem, the users and the company - always ethically. We aspire to leave the world a slightly better place.
Belonging
We are a collective interacting with compassion and helping each other. Everyone is valued and has a place where they contribute. We believe and respect neurodiversity, diverse backgrounds and support everyone in their journey.
Agility
We value speed above perfection and the ability to start small, learn fast, fail quickly. We keep it simple with extreme ownership. We continuously iterate and adapt.
Dream
We’re not afraid to dream, create magical products, explore with curiosity and have fun along the way. We all have inspirations and ambitions.
Founders
Ethics
The idea that data represents reality drives everything we do.
To ensure that this is always at the forefront of our minds, we adhere to 5 guiding principles when working with data.
We do not subjectively alter the data
This means that we do not manipulate the data in any way that would skew its original meaning. We take the data as it is and use it for the purposes it was intended. By maintaining the integrity of the data, we can ensure that our analysis and findings are accurate and reliable. It’s important to note that altering on its own is a misleading word. We merge different sources to find inaccuracies and confirm the reliability of the data. We clean and process, so that there are no more steps for the user to take in order to use the data. We reshape the data, but never create something that was not there.
We stay neutral, reflect and represent reality
It is important to not let personal biases or opinions influence the way we handle and interpret data. Our goal is to reflect and represent reality through the data we collect and analyse. We should always ensure that we do not cherry-pick or manipulate it to fit a particular narrative or agenda. We actively try to not introduce any bias into our process in order to allow for the data to show the truth.
We are transparent
Being transparent means being open and honest about the way we collect, use, and share data. It also means being clear about our methods and approaches, as well as any limitations or potential biases in our work. By being transparent in our work, we can build trust with the community and contribute to a more open and transparent society. All open data is easily traceable to the sources in order to be verified if needed. All AI data is clearly identifiable in a dataset.
We support sustainability, diversity and uniqueness
This is crucial for the long-term future of our organisation and community. It means being mindful of the impact our work has on the environment and society, and seeking to use data in ways that are sustainable and responsible. It also means valuing diversity and uniqueness in our data sources. We need to ensure that our findings and conclusions are more representative and accurate, and that our work benefits a wider range of people and communities, contributing to a more inclusive and equitable society.
We fight disinformation and prevent offensive use
Preventing any offensive use of data is crucial for maintaining trust and ensuring that data is used ethically and responsibly. It is important to be vigilant in detecting and combating disinformation, and to ensure that the data we use and the conclusions we draw are accurate and reliable. We should also take steps to prevent using it to discriminate or harm others. We only use non-personal data and make effort to confirm the ethicality of our sources and their data.