Our history.

  • Forecasting results were independently replicated on the DARPA-funded NG2S program.

    New ML-enhancements lead to further increases in Almanis platform forecasting advantages in speed and accuracy.

    Almanis, is now input to over GBP5 Trillion in assets under management.

  • Successful enhancements in machine learning forecasts are independently replicated on G7 government data sets unlocking unparalleled forecast accuracy and also speed with machine forecasts up to 30 days ahead of competing forecast technologies.

    Almanis, is now input to over GBP1 Trillion in assets under management.

  • Launching Almanis Validated Consensus® and Accurate Dissent® for better risk management and asset allocation. 

    Almanis, now input to over GBP200 Billion in assets under management.

  • Almanis identified as one of the collective intelligence leaders in their report on  “distributed artificial intelligence”. 

  • Development of technology behind accurate insight. Insight signals are constructed from machine learning analysis of trading behaviour (serial forecasts) in the prediction market microstructure. 

    This important distinction generates our accuracy and speed advantages over the analytics of competitors that focus on forecasting history.

  • The Economist reports that Almanis is "a new type of prediction market". 

  • Began building microstructure dataset. Launched Almanis, the public forecasting platform of Dysrupt Labs in London. 

  • Development of the Almanis, Percypt, and Pyfina prediction market platforms.

  • Successful collective intelligence experiments with prediction markets to deliver commercial and government forecasting solutions with support for Dysrupt Labs R&D from G7 and G20 governments.