Structural Intelligence (SI) is a universal problem-solving technology for complex and
dynamical systems like financial flows in banking, hybrid energy grids, multi layered telecom networks or supply chains for semiconductor industry. It is one key that can open all the doors. This technology is designed to be the operating system of the emerging intelligence driven automation for managing complex systems.
A large European telecom operator runs around 2,000 central offices, which hold thousands of devices and a mix of old and new equipment. Inventory records drift from what is really installed, and most outages follow a planned change. Experienced staff are also retiring faster than they can be replaced. Every operational decision depends on network data that the team can no longer fully trust.
A living digital twin of every central office, delivered as a managed service and powered by Structural Intelligence. The twin combines four views of the network into one structure: the physical estate, the logical topology, live telemetry and the recorded inventory. SI then reasons over that structure. It finds undocumented devices, keeps records accurate every day, catches degradation early, finds the root cause in one place, and checks the risk of every change before it is approved.
Projected 25% fewer outages caused by changes, and root cause found 40% faster,Inventory accuracy of 98% or more, with half the reconciliation effort,A risk assessment for every planned change within 4 hours, Projected return of about 2.9× over five years, with break-even in about two years, Every finding comes with a confidence level and evidence that anyone can re-check
GBAI-SI Structural Intelligence Framework, network digital twin, guided camera capture, traffic flow analysis, fault-management and SIEM integration, continuous CMDB reconciliation. Deployed entirely on the client’s premises.
Declining revenues from game sales in different regions in North America.
Built an AI Engine that analyzed data over a 4-year time period and was able to not only forecast the sales from games but also provide recommendations on what game types should be released in what regions and at what point of time.
An AI driven assistant for game planning was able to provide a 10% Lift to revenues in the next two quarter since it was operationalized.
Microsoft Azure, Tensorflow, Python, Things Stack network server, Tektelic sensors/ gateway, Azure SQL Server
Low income communities in municipalities in Canada that spend more than 10% of their disposable income towards meeting their energy needs - Need to reduce the spend on heating whilst maintaining a comfortable quality of life.
Energy retrofits and a data driven approach to measuring energy usage. Personalized recommendations on reducing energy consumptions
More disposable income for a better quality of life.
Dataiku, Tensorflow, Python, Apache Spark
SI works on the fundamental premise that the structure of the solution is always embedded in the structure of the problem in a dynamic system. To derive the structure of the solution, the structure of the problem is analyzed real-time using mathematics and science from areas like algebraic topology, differential geometry, spectral graph theory, heat diffusion, flow analysis and others.
