- B2B
- Early StageStartup in initial stages
- Top InvestorsThis company has received a significant amount of investment from top investors
- Website
- Locations
- Company size
- 11-50 people
- Total raised
- $7.7M
- Company type
- StartupEarly StageTechnology ProviderSaaSArtificial IntelligenceEnterprise Software CompanySoftwareSeedAnalytics
- Markets
Jobs at Gryps
Who we are: We are a seed stage company working on multi billion dollar projects and partnering with top investors from both Silicon Valley and New York City to support our mission. We dreamed of advancing the construction industry using technology, for young talent to grow into project managers empowered by data, for executives to have access to data at their fingertips, for directors to make data driven decisions and for enterprise construction technology to be easy to adopt. We founded Gryps in 2020 after gathering 20 years of experience working in developing and implementing technology applications for owners, construction managers and contractors at the largest projects in New York. What we do: At Gryps, we are disrupting the largest and least digitized industry in the world - $10T Construction Industry - through the power of data and connected intelligence. Our vision is to provide decision makers with access to the right information at the right time. Gryps Connect: enables information flow from construction information silos to a common data environment. It involves building data pipelines through APIs, building and orchestrating digital robots to ingest, process, augment and transfer from/to construction systems. Gryps Intelligence: data and document infrastructure to support storing data, defining data structures, and infusing machine learning and artificial intelligence to breakdown the silos of information and add information insights. Gryps Deliver: there multiple ways to deliver data and insights to customers, we started with Analytics & Dashboards, Search, and Data Exploration for standard users, and Notebooks (development environment) for the advanced data science user.
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