One of Microsoft's very few failures over the years was the Microsoft Zune, an MP3 player that crashed and burned – largely because, by the time it was released, Apple had already cornered the market with its fruit-emblazoned counterpart. This is just one example showing how time-to-market is critical. The crucial nature of time-to-market is not a new concept but one that has driven global trade for thousands of years. Thirty years ago, a classic McKinsey study showed that companies lost 33% of after-tax profit as a consequence of products shipping six months late. Many factors feed into time-to-market, such as distribution, marketing strategy, production processes, and supply chains.

Traditional R&D is limited by the human inability to interpret multi-dimensional data and make unbiased decisions. Experiments and computational modelling can consume vast quantities of time and resources. Whether you want to discover or optimize new materials, chemicals or drugs, the Alchemite Analytics platform uses advanced AI to give you deeper insights, enabling better decision making resulting in faster and more accurate product development. Join us for a product demo with real case studies and a discussion on how the Alchemite Analytics platform can support your team's workflows at each stage of development.

Cambridge startup Intellegens has secured a landmark maiden deal for its Alchemite artificial intelligence technology. The company has revealed its first commercial collaboration – with e-Therapeutics, an Oxford-based pioneer of Network-Driven Drug Discovery. Alchemite will enable e-Therapeutics to generate improved predictions, correct errors and fill in gaps in the large-scale biological and chemical information repositories housed in the company's proprietary databases. Alchemite is the result of intensive research by Dr Gareth Conduit, CTO and Intellegens co- founder. Working at the world-famous Cavendish Laboratories in Cambridge, Dr Conduit discovered a new method of analysing sparsely populated matrices using deep neural networks and novel machine learning approaches.