
Daptics provides web tools that enable scientists to make revolutionary gains in research outcomes using proprietary machine learning algorithms and a streamlined web interface and API. They leverage advanced machine learning techniques to automate experiment design by building predictive models from experimental data and delivering new experiments that are most likely to yield improved results. Daptics makes data science accessible to labs without requiring users to be data science experts. Their platform is designed to exponentially boost efficiency, making huge experimental campaigns feasible even on a budget, increasing high-throughput productivity by orders of magnitude. They offer a Python API for automated workflows and provide fully-functional free access for low-complexity experiments. Daptics has a history dating back to 2004 as ProtoLife in Italy, evolving through participation in EU projects, moving to San Francisco, and in 2017-18, fully embracing the SaaS model and rebranding to daptics (adaptive analytics) for broader applicability.

Daptics provides web tools that enable scientists to make revolutionary gains in research outcomes using proprietary machine learning algorithms and a streamlined web interface and API. They leverage advanced machine learning techniques to automate experiment design by building predictive models from experimental data and delivering new experiments that are most likely to yield improved results. Daptics makes data science accessible to labs without requiring users to be data science experts. Their platform is designed to exponentially boost efficiency, making huge experimental campaigns feasible even on a budget, increasing high-throughput productivity by orders of magnitude. They offer a Python API for automated workflows and provide fully-functional free access for low-complexity experiments. Daptics has a history dating back to 2004 as ProtoLife in Italy, evolving through participation in EU projects, moving to San Francisco, and in 2017-18, fully embracing the SaaS model and rebranding to daptics (adaptive analytics) for broader applicability.