Equitus.ai: Intelligence at the Edge
Equitus.ai provides a "mission-ready" AI ecosystem designed to work in disconnected, air-gapped, or hybrid environments. Unlike traditional AI that relies on massive GPU clusters and the cloud, Equitus is optimized to run natively on IBM Power10/11 hardware, delivering high-performance intelligence with a focus on data sovereignty and explainability.
PRODUCT LIST: ALL AVAILABLE WITH SERVICE INCLUDED: Sourcewell / TD SYNNEX pre-sources project ready,
1. Equitus Fusion (KGNN)
The Intelligent Data Fabric
Fusion is the flagship platform powered by Equitus's proprietary Knowledge Graph Neural Network (KGNN). It is designed to solve the "fragmented data" problem by unifying disparate sources into a single, searchable intelligence layer.
What it does: Automatically ingests, cleans, and structures both structured (databases) and unstructured (PDFs, logs, emails) data.
The "Magic": It eliminates manual ETL (Extract, Transform, Load) processes. Instead of human-designed schemas, KGNN uses autonomous semantic mapping to build a self-constructing knowledge graph.
Key Benefits:
Traceability: Every AI-derived insight has a clear path back to the source data (Who, What, Where, When, Why).
No GPUs Required: Optimized for IBM’s Matrix Math Accelerators (MMA), making it faster and more energy-efficient than x86-based graph databases.
AI Readiness: Instantly prepares data for Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) without data "hallucination" risks.
2. Arcxa (NNX)
Neural Network Optimization & Deployment
Arcxa (often referred to in technical documentation as NNX) is the underlying engine for neural network orchestration and optimization within the Equitus stack. It serves as the bridge between complex AI models and the specialized hardware they run on.
What it does: It optimizes deep learning models to run with maximum efficiency on the "Edge"—whether that is a field-deployed server or a compact data center.
Core Strength: It focuses on Neural Network eXchange(NNX), ensuring that complex mathematical workloads are processed with low latency and high throughput without needing expensive, power-hungry GPUs.
Use Case: Critical for organizations that need to deploy "private AI" where data cannot leave the premises for security or regulatory reasons.
3. Equitus Video Sentinel (EVS)
Tactical Visual Intelligence: Active on DHS CBP Arizona Sectors.
EVS is a comprehensive intelligent video analytics platform. It transforms standard camera feeds into a proactive security and intelligence asset.
What it does: It automatically indexes every frame of video, turning raw footage into a searchable database of metadata (size, color, speed, and behavior attributes).
Key Capabilities: On-Prem : Avoid Cloud Based Issues -
Real-Time Alerts: Detects perimeter intrusions, loitering, abandoned items, and suspicious behavior instantly.
Forensic Search: Allows operators to search thousands of hours of footage across multiple cameras in seconds (e.g., "Find all red trucks moving north").
Edge-Native: Built to process up to 100+ simultaneous video streams on a single server at the edge, reducing the need for massive bandwidth to the cloud.
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