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Addressing Data Challenges in Human Centric AI Systems
Availability
Access to data that is difficult to obtain, such as edge cases, anomalies, human behavioural and health data
Privacy
Our data is guaranteed to be privacy-safe and compliant with data protection laws
Coverage
Highly representative data covering multiple perspectives and scenarios
Speed
Deploy your models at a fraction of the time and cost, speed up your proof of concepts, iterate at speed
Scale
Extensive datasets at a fraction of time and costs
Innovation
Build better products by having the data to validate new ideas for innovative areas where data has not yet exist
What We Do
At DataFuel, we generate synthetic human behavior data for your machine learning models, so that you can get your applications to market faster.
Companies who want to implement predictive, generative, or recommendation models often find that they don't have the data required to train and test their machine learning algorithms. This can be especially true for data relating to human behaviour.
- You may have existing datasets but they have a lot of missing data or inaccurate data.
- You have existing data but for reasons of privacy, it cannot be used.
- Your data of interest comprises rarely occurring edge-cases or anomalies.
- Perhaps your idea is so new that there is insufficient data.
Synthetic training data is the fastest and cheapest way to improve or bootstrap your machine learning model.
- Skip costly hardware setup, and time-consuming data collection, data annotation, and data cleaning. Using technology from computational science, we produce realistic, perfectly labeled training datasets for your machine learning needs.
- We can generate any amount of data you need.
- All the data is fully labelled, so you can skip manual labelling and iterate quickly.
- We can update the data as you clarify your machine learning needs.
- Our data can incorporate any level of noise, correlation, or bias, so it can be used to train your machine learning models. We can add different human behavioural and psychology module to the data generator, creating realistic data that you will be able to use.
Application areas:
- Marketplaces: app stores, online retail, purchase recommendation systems
- HR, team performance and future of work
- Opinion polarization in social media and influence on people
- Sustainability and green energy usage in households
Based on more than 10 years of research at UCL and data modelling and analysis experience in agriculture, retail, HR, health, IoT, FMCG, manufacturing and shipping.
Contact Us
We are always happy to hear from you. Please send us an email.