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ACR 2 Cybersecurity Risk Management System™ (ACRMS™)
The highly automated ACR 2 Cybersecurity Risk Management System™ (ACRMS™) brings small Federal contractors into compliance with unclassified data cybersecurity requirements with limited need for scarce and expensive cybersecurity experts. Extensive auditing in the long-regulated medical industry shows most cybersecurity program audit failures are due to three issues; lack of a cybersecurity risk assessment, lack of cybersecurity policy safeguards (>60% of HIPAA breaches are due to human error), and lack of user training in cybersecurity safeguards. The ACRMS™ integrates these elements with a user-friendly task management system to provide a cybersecurity capability that greatly reduces the need for expert services. The core technology of the ACRMS™ is an expert system computer model implementation of the NIST 800-30 cybersecurity risk assessment protocol that has been tested in over 200 cybersecurity audits since 2006. Integrated with video assisted policy creation, on-line user education and task management modules, the ACRMS™ has been demonstrated to rapidly and inexpensively bring small contractors into compliance with Federal cybersecurity standards. Given the expected near-term shortfall of cybersecurity experts, the ACRMS™ uniquely allows the small contractors who handle over 20% of federal spending to efficiently meet the ever-increasing demands for cybersecurity.
OneLynk - A holistic, integrated back office solution
Most Enterprise Resource Planning systems take months or years to implement and cost thousands of dollars per employee. AtWork Systems' OneLynk business operating system disrupts the market by providing a holistic, integrated solution that small to mid-sized companies can implement in as little as one-week at a fraction of the cost of existing systems. Companies that adopt the OneLynk system will differentiate themselves through more competitive rates, comprehensive workflows and visible performance data that will result in increased revenue.
Tech to help entrepreneurs build IP cost effectively and grow the business
We apply deep learning to help inventors draft high quality patent applications. This enhances documentation of ideas using machine drafting of documents. This cuts down cost. The Foundation will provide low cost DYI patent filing software.The inventor’s ideas can be uniquely secured using the blockchain and powered by the Inventiv cryptocurrency or token, which works as a medium of exchange that uses strong cryptography to record new ideas on the blockchain, control the creation of additional ideas from the crowd, and verify the transfer of ideas as intellectual property (IP) assets. The system provides Context Sensitive Examples so you can see how others describe similar subject matter, making the provisional preparation easier. The software has a natural language understanding tool, which captures inconsistencies in the filing so that the user can file without mistakes. Using natural language processing (NLP), the software checks the consistency of terms and number references in the application and whether the claims are supported by your description. The system checks claims for proper antecedent basis and shows you how claim elements are described in the description. An editable claim tree allows for ease of manipulating claim concepts.
Social Media Environment and Internet Replication (SMEIR)
SMEIR delivers the ability to conduct unrestricted offensive and defensive cyber and information operations training while replicating realistic internet scenarios, in closed network environments. Content is flexible and customizable, covering everything from social media analysis and engagement to network mapping. SMEIR addresses the experience gap warfighters encounter between when they receive classroom training, to when they are tasked to attack and execute in live environments. SMEIR is comprised of five core capabilities: website and social media replication; an exercise development and management tool; malicious traffic generation; information operations (IO) with extensive cyber/content libraries; and software-defined infrastructure.
rasdaman
Datacubes are enablers for analysis-ready, user-centric Big Data services in science and engineering, such as sensor data, images, image timeseries, simulations (like weather), and statistics data. The pioneer datacube engine, rasdaman, is world-wide leading according to ESA and other experts, with manifold epigons trying to copy. Rasdaman, though, stands out through its performance, scalability, flexibility, security, and standards support, plus its capability for planetary-scale peer federations, shown on Petabyte satellite and climate data, with more than 1000x cloud parallelization. Research Data Alliance in 2018 has attested that rasdaman can be 300x faster than other tools. Further, rasdaman is official datacube reference implementation and blueprint for the OGC and ISO datacube standards. In summary, rasdaman heralds a new generation of services on massive, distributed spatio-temporal data standing out through its flexibility (any query, any time), performance and scalability (2.5+ PB, 1000x parallelization), security (access control down to single pixel level), and open standards (being reference implementation).
Artificial intelligence, machine learning, machine vision for infrastructure and road surface assessments
RoadBotics AI is unlike anything else that exists today to assess infrastructure. RoadBotics is an infrastructure technology company that uses AI to revolutionize how governments and engineering firms make data-driven pavement management decisions. The company uses cutting-edge deep learning and a simple smartphone to disrupt the highly subjective and expensive pavement inspection process. The technology began in development at Carnegie Mellon University as a project in the Robotics Institute with the original intention of contributing to the autonomous vehicle revolution. With much mathematical effort and additional training of the algorithms, the original algorithms were commercialized to assess infrastructure. RoadBotics' algorithms have been trained to read images and automatically make decisions on road conditions. This is a result of a machine-learning technique called deep learning to train neural networks. Neural networks are the core machinery of deep learning and aims to find patterns in data. More specifically, RoadBotics is using computer vision, and through deep learning trains the algorithms. The primary training method was (and is) supervised learning, which involves feeding the equations, that make up the algorithms, labeled data.
Skylight - A Big Data Platform for Buildings
Site 1001 was spun out of a large construction company where the solution was invented to fill a hole in the currently available software for buildings. Once the solution was created, the true value was discovered in not just performing simple facilities management and maintenance processes but in truly optimizing the performance of the entire building. This new platform is Skylight, a big data platform for buildings. Competitors include old guard facility management or maintenance companies as well as some newer firms focused on building analytics and performance. Our difference is that we bring expertise from both the construction (non-technical) and software (technical) worlds, giving us much better knowledge and insight into how buildings are designed and can be enhanced for performance. By incorporating an AI element into building operations, Site 1001’s Skylight can build correlations between multiple data sources ensuring that buildings are not only running better than they were previously, but empowering the people within them. Building professionals use Skylight to create better places through smarter building management and community connection. Skylight translates core building and operational data into information to maximize satisfaction, lower operational costs, increase asset longevity and enhance property value.
Skylight
Site 1001 was spun out of a large construction company where the solution was invented to fill a hole in the currently available software for buildings. Once the solution was created, the true value was discovered in not just performing simple facilities management and maintenance processes but in truly optimizing the performance of the entire building. Competitors include old guard facility management or maintenance companies as well as some newer firms focused on building analytics and performance. Our difference is that we bring expertise from both the construction (non-technical) and software (technical) worlds, giving us much better knowledge and insight into how buildings are designed and can be enhanced for performance. By incorporating an AI element into building operations, Site 1001 can build correlations between multiple data sources ensuring that buildings are not only running better than they were previously, but empowering the people within them.
