Our Gryps software platform uses robotic process automation (RPA), computer vision, and machine learning to connect to the various siloed systems in construction. Our system ingests and understands the documents, and opens up access to the data and insights produced by every construction project.
It should come as no surprise that the construction industry is enormous—take a walk in any city or town nearly anywhere and you’ll see the products of this massive sector, valued at $10 trillion globally by Research and Markets.
The construction industry provides housing for everything from our people and our jobs to the data centers that power the internet, but the industry’s processes and tech have remained relatively in the last decade, limiting advances in productivity and efficiency.
How could this be? When so many other complex legacy industries, such as financial services and healthcare have been able to adopt revolutionary technology, why is construction still lagging behind? This is one of the many questions we asked ourselves as we lay the groundwork for Gryps.
Innovating within construction is very difficult - but we have the extensive domain expertise to do it:
Construction is a highly fragmented industry with many different stakeholders, long project timelines, disparate tools and processes, and sometimes misaligned incentives. While most products are built through a process of continuous improvement, construction isn’t currently well set up to iterate, learn, and improve over and over.
Because of this fragmentation, stakeholders frequently are unable to access the right information at the right time. When things are highly fragmented, it is close to impossible to systematically learn from mistakes on other projects or even a different phase of the same project. Planners, designers, and construction workers are all operating in silos.
A General Contractor, for example, likely has several subcontractors who perform their job and move on to other jobs, bringing with them knowledge and information about the project that isn’t documented anywhere else. Furthermore, each stakeholder in this complex system is using different tools to track their own progress. These tools—like eBuilder, Procore, and Box, to name a few—don’t talk to each other.
Companies have tried integrating these various tools and actually this is precisely what we did in our pre-Gryps consulting careers with customers such as LaGuardia Airport, Massport, Port Authority of NY and NJ and many more. Integrations are very expensive and take a lot of planning and implementation, which proves to be impossible for most construction projects.
Gryps is solving these problems.
Gryps is connecting the construction data silos and will deliver smart analytics to facility owners to increase their ROI.
We fundamentally believe that if we provide the right information to the construction decision makers at the right time, we can improve decision-making and build a better, safer and more sustainable built environment.
Our Gryps software platform uses robotic process automation (RPA), computer vision, and machine learning to connect to the various siloed systems in construction. Our system ingests and understands the documents, and opens up access to the data and insights produced by every single construction project.
We are excited to be modernizing the construction industry that we’ve devoted our careers to, by using state-of-the-art machine learning and deep learning techniques.