#METABASE SERIES INSIGHT SERIES#
Founded in 1995, Insight Partners has invested in more than 400 companies worldwide and has raised through a series of funds more than $30 billion in capital commitments.
#METABASE SERIES INSIGHT SOFTWARE#
Insight Partners is a leading global venture capital and private equity firm investing in high-growth technology and software ScaleUp companies that are driving transformative change in their industries. Companies can optimise their R&D processes, increase their agility, and delight their customers by reducing internal costs, delivering better products to market faster and increasing their sales.įor more information, please visit the company’s website: Monolith AI enables companies to monetise their CAD, simulation, and test data, using it to predict the behaviour of designs without performing new simulations or physical tests.
Monolith’s AI platform utilises the latest in machine learning to help design and engineering teams significantly improve the product development process. Monolith AI is the leading AIE (Artificial Intelligence Engineering) software company. The business also works with clients such as BMW, Honda, BAE Systems and Siemens. Richard Alhfeld following years of research at world-leading universities, including Stanford University and Imperial College London and collaboration projects with NASA and Rolls-Royce. We’re delighted to have the opportunity to work closely with the company as it continues to grow.” Richard and the team at Monolith have created an incredible offering that allows engineers to learn from data from across the entire product development phase and make better decisions earlier in the process. He notes, “Whether we talk about aircraft, automotive, electronics or any engineered product, engineers make high impact decisions that drive revenue, cost, safety and sustainability. Josh Fredberg, Managing Director at Insight Partners will join the board. Democratising Al, by empowering engineers to be self- sufficient in building and deploying Al solutions, helps engineering organisations drive digital transformation efficiently more efficiently than other currently available solutions.” Engineers understand the data, they are embedded in the business and have the intuitions necessary to know why to process and model data. The investment will allow Monolith AI to grow their international client base and continue to develop their groundbreaking 3D machine learning technology that accelerates product development workflows through virtually predicting product performance.ĭr Richard Ahlfeld, CEO and founder of Monolith AI comments: “Deriving insight from data for decision-making is a complex but necessary challenge for engineering organisations.
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Monolith AI’s mission is to democratise machine learning for product development by building an intuitive coding free software that empowers every engineer to understand, predict and optimise products dramatically faster using artificial intelligence algorithms. Also joining the round is the founder of Formula E and Extreme E, Alejandro Agag, Apex Black and the Stanford Angels of the UK. The round was led by New York-based global private equity and venture capital firm Insight Partners, with existing investors Pentech and Touchstone supporting the round. Monolith AI, the leading Artificial Intelligence Engineering (AIE) software, has announced £8.5 million in Series A funding, taking its total capital raised to £10.6 million.
Clients include BMW, Honda, Siemens and BAE Systems.Insight Partners led the round to support growth and technological advancement.A time series showing the count of orders grouped by month. Here is a time series of orders per month depicted as a line chart: Fig. If you plot the total numbers of orders for each week over fifty-two weeks (or some other period of time), the resulting chart is a visualization of a time series. The values plotted on a time series can be measures (like a temperature) or metrics, such as the total number of orders placed in a week. People will use the term “time series” to refer to the actual data by date/time as well as the chart that visualizes that time series. In each case, the horizontal x-axis plots time, and each point plotted on the line is a value at a fixed interval (once an hour, or once a day, etc.). Typically you represent a time series as a line chart (called a run chart), but sometimes as a bar chart or area chart.
Times series are used for both analysis (how has the data performed over time) and forecasting (given the line’s trend, what can we expect next week, month, etc.). A time series is a sequence of data points over time.