Equitus.us - IBM POWER 10/11 Technology Partner

__________________________________________________________________________________

[PowerGraph] The Equitus Knowledge Graph Neural Network (KGNN) platform , optimized for IBM Power 10/11 servers (an IBM ISV, or Independent Software Vendor, partnership), targets the specified regulated and non-regulated industries by enhancing AI deployment through:

SPEED - SCALE - SECURITY -  COST

_________________________________________________

1. Automated Data Unification and Contextualization: KGNN automatically ingests, cleans, and structures disparate, siloed data (structured, unstructured, and real-time) into a self-constructing, schema-less Knowledge Graph. This process eliminates manual ETL (Extract, Transform, Load) and data preprocessing bottlenecks, making data AI-ready faster. This is crucial in industries like Financial Services and Healthcare, where data is often fragmented and complex.

2. Traceability, Explainability, and Security (for Regulated Industries): The platform maintains full data provenance (audit trail) and ties every data point back to its source, which is vital for regulatory compliance in sectors like Finance, Insurance, Pharma, and Defense. By providing a clear, interconnected knowledge graph, it offers explainability for AI model decisions and supports greater accuracy in the data used for AI. IBM Power's features, like transparent memory encryption, further enhance the security of data, particularly in highly regulated environments.

3. High-Performance and Edge AI Deployment: KGNN is optimized to run natively on IBM Power10/11 servers and utilizes the built-in Matrix Math Accelerator (MMA) technology. This allows for high-performance deep learning and AI inferencing without the need for costly GPUs or cloud dependency, making it ideal for edge computing deployments (e.g., in Transportation, Defense, or Energy for real-time video analytics via Equitus Video Sentinel (EVS)). This capability delivers faster real-time decision-making.

4. Enabling Advanced AI Applications: The semantically rich, vectorized data output from the Knowledge Graph fuels advanced AI applications like Retrieval-Augmented Generation (RAG) for LLMs, sophisticated analytics, anomaly detection (useful in Insurance, Finance, and Defense), and real-time video analytics (EVS, applicable in Defense, Transportation, and Retail).

Marketing Strategy Through Channel Partners

In essence, the solution accelerates the path from raw, fragmented data to trustworthy, high-performance, and auditable AI intelligence, which is particularly necessary for the rigorous requirements of regulated industries.

You can see a discussion of the technology's application in this video: How to Run Enterprise AI Without GPUs: IBM Power + Equitus Real-Time Analytics.