Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into engineering technologies. This time, you get to discover five hand-picked AI startups impacting engineering companies.
Out of 419, the Global Startup Heat Map highlights 5 Top AI Startups impacting Engineering Companies
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 419 exemplary startups & scaleups we analyzed for this research. Further, it highlights five AI startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 414 AI solutions impacting engineering, get in touch with us.
SDaC simplifies Construction Design
Founding Year: 2019
Location: Karlsruhe, Germany
Partner with SDaC for Construction Analytics
German startup SDaC develops a data-driven platform for construction design. The platform contains modules for construction data processing and it structures them for easy access. This data provides solutions for a range of applications from engineering design and project planning to construction execution. These solutions streamline the design and operational processes in construction, reducing construction costs and improving building efficiency.
aquaNRG facilitates Reactive Transport Modeling
Founding Year: 2017
Location: Houston, USA
Innovate with aquaNRG for Physical & Chemical Process Simulations
US-based startup aquaNRG develops aiRock, its cloud-based software that simulates physical and chemical processes in natural and man-made porous media. The software uses data-driven reactive transport modeling to build faster predictive models of fluid movement, solute transport, and chemical reactions. This allows geoscientists, reservoir engineers, petro-physicists, and environmental engineers to model and optimize resource discovery, exploration, and extraction.
DessIA enables Engineering Task Automation
Founding Year: 2017
Location: Paris, France
Use this solution for Design Automation
DessIA is a French startup that develops a bot platform using explainable AI to automate time-consuming engineering tasks. The platform provides a set of libraries to develop custom bots from scratch. These bots generate optimized workflows that allow users to validate numerous product architectures in very less time. Additionally, the startup’s existing battery bot solution provides a 3D battery model which includes electrical architecture, mechanical design, and cooling layout that speeds up battery design. Similarly, the startup’s bots accelerate product development and reduce designing costs.
AISE.AI improves Industrial Process Modeling
Founding Year: 2018
Location: Rome, Italy
Collaborate with AISE.AI for Industrial Digital Twins
Italian startup AISE.AI develops an AI-based platform for the data-driven modeling and simulation of complex industrial systems and processes. The platform uses AI to create digital twins of industrial systems using data from sensors, meters, SCADA, and PLC. They provide real-time information regarding plant operations and also allow plant engineers to simulate production scenarios under theoretical conditions. This enables plant engineers to optimize production parameters and improve the key performance indicators (KPIs) of production units while maintaining accurate control.
TOffeeAM advances Generative Designs
Founding Year: 2019
Location: London, UK
Use this solution for Fluid-Structure Generative Design
TOffeeAM is a UK-based startup that develops a generative design system for advanced manufacturing. Its software enables simultaneous optimization of design for fluids, heat, and structure interacting components to maximize product performance. The startup specializes in fluid-structure generative design with applications in heat exchangers, valves, and robust systems. This way, the solution optimizes product design in the manufacturing, aerospace, automotive, and energy sectors.
Discover more Industry 4.0 Startups
Industry 4.0 startups such as the examples highlighted in this report focus on design automation, industrial process simulations, assisted product development, digital twins, and generative designs. While all of these technologies play a major role in advancing the industry, they only represent the tip of the iceberg. To explore industrial technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free Industry 4.0 Innovation Report to save your time and improve strategic decision-making.