News of Autodesk's $240 million acquisition of Oslo, Norway-based, Spacemaker.AI offers the latest evidence of the maturation of Europe's Buildings and Infrastructure technology sector and the increasing trend toward international deals, as leading edge technology companies are cropping up far beyond early centers in places like San Francisco, Boston, and London and as the industry's growing tech players push to expand their customer bases, globally. The deal also highlights the growing importance of AI and Machine learning in this phase of technology dealmaking. An emerging leader in the field of AI and generative design tools for early-stage development and design planning, Spacemaker Founder & CEO, Havard Haukeland spoke at our Global Summit in Paris in 2019, and we identified Spacemaker among a list of promising European Startups in our 2019 European Report.
Around the World, Deals Sizes Grow & More Companies Invest Internationally.
Autodesk's acquisition of Spacemaker is certainly not the first international deal in the AEC tech sector. Oracle's $1.2 Billion acquisition of Australia-based Aconex may still be the largest, and Bentley's acquisition of London-base synchro was another illustration of the trend. In the reverse, Nemetchek's acquisitions of Bluebeam is an example of a European firm buying an American firm. What appears to be different now is the pace of larger deals. Over four days, this past October, we covered international investment in the sector, looking at examples of earlier and later stage companies garnering growing international investment, not only in Europe, but also in places like South America, Australia, Israel, and Saudi Arabia/UAE.
Moving from Digitization of Workflows to Automation and Intelligence.
Early in the sector's technology transformation, the focus was on moving companies from Excel spreadsheets and paper forms and blueprints into cloud based, mobile-friendly systems with structured databases and workflows that would reduce labor associated with double-entry, lack of access to data, and the simple pains of printing, scanning, faxing, mailing, filing and otherwise managing paper. In the last several years, the attention has shifted from moving processes online to leveraging Machine Learning and Artificial intelligence to gain faster and better insights from data to make predictions and to automate processes. Spacemaker is one example of this growing breed of solutions, and we can expect to see a lot more from that group in the years to come, especially as older and more established firms look to incorporate those features into their own offerings.
Research and Lists Featuring Emerging Tech in AI and Machine Learning:
Watch Recent Discussion Sessions and Demos Around AI/Machine Learning:
BuiltWorlds Venture Forum Demo Drop – Abagy
Abagy is a software provider in the Robotic Process Automation (RPA) space. Abagy is focusing on the high mix/low volume manufacturing market (initially welding, cutting and painting) consisting of 200,000+ manufacturers.
The Supply Chain of Modularization
Supply chain management programs have been particularly difficult to deploy within commercial construction, largely due to varied local building codes, unique project requirements, difficulty in creating reusable and scalable standard designs and details, a highly fragmented labor force, and a decentralized project site assembly model
Optimizing the Use of Real-Time Data
AI will force us to rethink how we approach decision-making in construction. Several disrupters, from AI to robotics, additive manufacturing to IoT, will change the way we build.
Using AI to Produce Actionable Insights for the Construction Process
The presentation will give concrete examples, of both tactical and strategical insights given to managers, such as automatically identifying missing elements (i.e. a forgotten socket), receiving alerts of bottlenecks to come that could reduce productivity and create additional costs, and analyzing the throughput of the different activities, sub-contractors and project as a whole to identify what requires the attention of experienced managers.
May Project Management Analyst Call: Utilizing Real-Time Data Capture to Enhance Project Management
Artificial Intelligence (AI) algorithms can provide a framework to evaluate the chaotic nature of a real-world jobsite. For example, an AI system can take vast lakes of incoming data and optimize millions of project scheduling options to give Project Managers better tools for making decisions
BuiltWorlds Venture Forum Demo Drop – Voyage Control (CSC2020 TOP 5 Finalist)
Congrats to Voyage Control! A Top 5 Finalist in the Construction Startup Challenge 2020! SaaS platform to help construction firms manage their logistics and supply chain more efficiently as well as support their compliance needs.
The Future of Asset Mapping using Smartphones and Advanced Analytics
Over the next 5 years, we are going to see an enormous explosion in data generated in and around the built environment that will scream for the analytics and technology to develop that data into insights. Here we discuss how this is going to happen and how you can adopt some of those advantages immediately.
Enabling Smarter Jobsites Through Digital Delivery
Jon Berkoe, from MWH Constructors, delivers his presentation on how they are implementing multiple technologies to enhance their digital design of projects.
Creating a Digital Design Environment
The built environment is taking advantage of the revolution trailblazed by smartphones. Jobsites and cities are leveraging sensors on real-world assets (roads, tools, dams, etc.) for an integrated digital ecosystem. Critical improvements in analytics help decision-makers prioritize relevant data, optimizing operations and asset management.
BuiltWorlds Venture Forum Demo Drop – Okibo (CSC2020 TOP 5 Finalist)
Congrats to Okibo! A Top 5 Finalist in the Construction Startup Challenge 2020! Okibo is developing intelligent, mobile, multi-purpose and autonomous robots for use in construction sites.
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