We use open algorithm design techniques to create deployable probability models.
Using a combination of text parsing and network analysis we can construct identity consolidation functions.
Using classical and modern techniques we can create segmentation groups based on a variety of customer dimensions.
Designing and training deep learning models that quickly deploy in lightweight environments.
models — hosted on AWS, Google Cloud, Microsoft Azure or your server.
strategy — model decisioning, strategy design and measuring value.
research — we implement findings in new research and get practical results.
training — custom model development training onsite or online.
consumer — churn, upsell, personality, emotions, behaviours and anything.
finance — credit risk, risk culture, spending behaviour and financial personality.
health — identity consolidation, health prediction and document scanning.
social/startup — pro-bono quality analytics for social causes.
workload split 40/60 between R&D and consulting with impactful industries worldwide.
20% of our revenue is composed of pro-bono projects in the social and NFP space.
registered B-Corp with a singular dedication mission to ‘recondition the human condition’.