Gravity Labs is at the core of our commitment to innovation. It was established to harness the latest in technology breakthroughs to solve some of the world’s most complex and intriguing business problems. And we have deployed our best minds to the job.
Gravity Labs is led by an elite team of computer and data scientists with advanced degrees from highly respected universities and who have published papers in international journals. They are that rare combination of visionaries, dreamers, and hardnosed pragmatists whose passion is to find elegant solutions to multi-dimensional business problems that drive strategic business value. And we put this brain trust to work.
At Gravity Labs, we work closely with our clients to understand their problems – complex challenges that they are unable to address with the generally available enterprise technology solutions. We bring to bear our expertise in a wide range of areas such as Artificial Intelligence, Machine Learning, Natural Language Processing, Algorithms, Information Retrieval, UI, Statistics and Data Science to advanced coding using Java, Python, Spark, and Torch7, to find solutions that are game changers for our clients and result in measurable business outcomes.
Gravity Labs projects are aligned with one or more of our capabilities and typically fall under these categories:
- Proofs of Concepts (PoCs) – We help our clients conduct quick PoCs to help them test a new, complex technology or a slice of a use case.
- Prototypes and Pilots – When the need is larger than a PoC but not yet a full solution, we help clients with building mock up applications that test complex technology while solving complex business problems.
- Software Solutions – Fully deployable, cutting edge turnkey solutions that are typically not available in the market place.
Here are examples of Gravity Labs software solutions:
Gravity Metadata Management Engine (GraMME)
Gravity Metadata Management Engine (GraMME) is the modern, open source, vendor neutral, metadata management solution offered by Fresh Gravity. Guided by Postel’s law of being conservative in defining the data protocols but liberal in what is accepted from external systems, GraMME was developed to solve the metadata challenges of today’s data-driven enterprise. GraMME offers out-of-the-box capabilities for metadata repository, metadata discovery, metadata analytics and provides a robust UI for metadata management and impact analysis. It addresses compliance needs around GDPR, BCBS239 amongst other data security regulations.
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Seat Belt Survey Data Collection and Analysis System
United States Department of Transportation’s (USDOT) National Highway Traffic Safety Administration (NHTSA) mandates the states to run seatbelt usage campaigns to help improve seat belt usage. These campaigns are typically run once a year using the “Click it or Ticket” (CIOT) campaign slogan under the CIOT National Enforcement Mobilization program: www.nhtsa.gov/PEAK. NHTSA also mandates states to conduct seat belt usage surveys before and after the campaigns to study the effectiveness of the campaigns. The Seatbelt Survey Data Collection system is a software solution for site sampling, training scheduling, survey scheduling, capturing survey data and analyzing and reporting the results, all under one roof. It uses standards and transportation engineering principles in site selection and advanced and predictive analytics for reporting the results.
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Company Hierarchy Set up and Audit Tool
Building accurate and complete customer hierarchy data is a common challenge for most enterprises. Third-party providers have limited parent-child information, which is often incomplete and inaccurate. We are solving that problem by crawling many publicly available sources of data as well as unstructured information from the Web to build accurate and complete relationships. Our engine runs continuously to capture vital information such as changes in company ownership, mergers, and acquisitions. The result is vastly more accurate customer hierarchy data leading to improved account planning and business outcomes.
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