Building time-based predictions with fewer data points, making machine learning without limitation accessible to any size company or skill level.
78% of minimum goal raised
Minimum Target £ 300,000 |
Minimum investment amount £ 25,000 |
Maximum Target £ 500,000 |
Maximum investment amount £ 150,000 |
We help companies apply machine learning to their sparse inputs in order to predict future demand and activity without the complete data collected. We’re currently operating in the mobility & movement space with plans to expand in to IOT and supply chain in the near future.
Now:
Machine Learning as a Service: We offer a live service solution that takes company's data and provides back a prediction dataset which can be easily implemented into their systems and processes. The data can be supplied in a standard prediction data set or formatted as a heat map
Next:
We're building a licensed tech no-code solution. This easily configurable product will enable companies to use machine learning without data science capabilities within their team. As we develop the product we'll build a no code platform for all your data needs regardless on the size or completeness of the data.
In a world where big data has been the focus companies are starting to look for ways to maximize their return on investment and are finding that big data has many limitations. SME's often can never collect enough complete data to use predictive technologies and larger organisations have either created small data subsets from changes in environment or ways of collecting data and/or are wanting to narrow their focuses on specific areas. Statistical machine learning only works with complete large datasets leaving a gap in the market for sparse data technologies. TUBR ML meets the demand for both sparse and big data and provides better accuracy.
Live prediction subscription model based on number of areas being predicted.
We charge an onboarding fee for implementation and then a monthly subscription for ongoing prediction pushes.
Predictions per node:
Bundle of small nodes:
£500
Single large node:
£500 - 750
Average recurring spend yr =
~ £65,000
Now:
Machine Learning as a Service: We offer a live service solution that takes company's data and provides back a prediction dataset which can be easily implemented into their systems and processes. The data can be supplied in a standard prediction data set or formatted as a heat map
Next:
We're building a licensed tech no-code solution. This easily configurable product will enable companies to use machine learning without data science capabilities within their team. As we develop the product we'll build a no code platform for all your data needs regardless on the size or completeness of the data.
In a world where big data has been the focus companies are starting to look for ways to maximize their return on investment and are finding that big data has many limitations. SME's often can never collect enough complete data to use predictive technologies and larger organisations have either created small data subsets from changes in environment or ways of collecting data and/or are wanting to narrow their focuses on specific areas. Statistical machine learning only works with complete large datasets leaving a gap in the market for sparse data technologies. TUBR ML meets the demand for both sparse and big data and provides better accuracy.
Live prediction subscription model based on number of areas being predicted.
We charge an onboarding fee for implementation and then a monthly subscription for ongoing prediction pushes.
Predictions per node:
Bundle of small nodes:
£500
Single large node:
£500 - 750
Average recurring spend yr =
~ £65,000