🤓 Latest Submissions
NEXUS — Enterprise AI Command Center
The Problem Enterprise decision-making is broken. When a crisis hits — a key client threatens to leave, a supply chain collapses, an acquisition opportunity appears — companies spend days in fragmented meetings.The average Fortune 500 company takes 6–8 weeks to align on a major strategic response. By then, the window has often closed. The Solution: NEXUS NEXUS is a collaborative multi-agent AI system that deploys six specialized agents simultaneously the moment you describe a business challenge. Each agent thinks independently from its own expert lens. Then a dedicated Guardian agent audits every output for trust and security. Finally, the Orchestrator synthesizes everything into one verified, decisive executive brief — in under 60 seconds. The Six Agents Scout Rapidly extracts facts, maps stakeholders, scores urgency 1–10, and flags critical knowledge gaps before any other agent begins. Analyst Runs financial impact modeling, root cause analysis using the 5 Whys framework, and builds a full risk matrix. Strategist Generates three strategic options — Bold Move, Measured Approach, and Defensive Play — each with upside/downside analysis and a governing principle. Communicator Drafts ready-to-send communications for every stakeholder group: leadership, employees, clients, and public. Includes messaging DON'Ts. Guardian The trust layer. Sits between the four analysis agents and the Orchestrator. Audits every agent output for prompt injection attacks, hallucinations, policy violations, legal risk, and bias. Powered by Veea Lobster Trap for deep prompt inspection and policy enforcement. Assigns a Trust Score (0–100%) to the entire analysis pipeline. If critical violations are detected, it blocks synthesis and alerts the user. Orchestrator Receives Guardian-verified outputs and synthesizes them into one decisive executive brief with ranked action items, risk flags, opportunity flags, ready-to-send communications, and a 30-day success metric.
20 May 2026
NEXUS — Enterprise AI Command Center
The Problem Enterprise decision-making is broken. When a crisis hits — a key client threatens to leave, a supply chain collapses, an acquisition opportunity appears — companies spend days in fragmented meetings.The average Fortune 500 company takes 6–8 weeks to align on a major strategic response. By then, the window has often closed. The Solution: NEXUS NEXUS is a collaborative multi-agent AI system that deploys six specialized agents simultaneously the moment you describe a business challenge. Each agent thinks independently from its own expert lens. Then a dedicated Guardian agent audits every output for trust and security. Finally, the Orchestrator synthesizes everything into one verified, decisive executive brief — in under 60 seconds. The Six Agents Scout Rapidly extracts facts, maps stakeholders, scores urgency 1–10, and flags critical knowledge gaps before any other agent begins. Analyst Runs financial impact modeling, root cause analysis using the 5 Whys framework, and builds a full risk matrix. Strategist Generates three strategic options — Bold Move, Measured Approach, and Defensive Play — each with upside/downside analysis and a governing principle. Communicator Drafts ready-to-send communications for every stakeholder group: leadership, employees, clients, and public. Includes messaging DON'Ts. Guardian The trust layer. Sits between the four analysis agents and the Orchestrator. Audits every agent output for prompt injection attacks, hallucinations, policy violations, legal risk, and bias. Powered by Veea Lobster Trap for deep prompt inspection and policy enforcement. Assigns a Trust Score (0–100%) to the entire analysis pipeline. If critical violations are detected, it blocks synthesis and alerts the user. Orchestrator Receives Guardian-verified outputs and synthesizes them into one decisive executive brief with ranked action items, risk flags, opportunity flags, ready-to-send communications, and a 30-day success metric.
19 May 2026
OmniInspect — AI-Powered Visual Quality Control
OmniInspect is a multimodal AI system that solves one of manufacturing's most persistent problems: visual quality control at scale. Traditional approaches either rely on human inspectors who fatigue and miss defects, or rule-based computer vision systems that take months to configure and break with every product change. OmniInspect uses a 3-agent pipeline powered by Qwen2-VL-7B running on AMD Instinct MI300X: 1. Detection Agent — Analyzes enhanced images for any surface anomaly including cracks, scratches, contamination, holes, and deformation 2. Classification Agent — Classifies defect type, assigns severity (1-5), determines risk level (LOW to CRITICAL), and identifies probable root cause 3. Report Agent — Generates structured JSON reports with actionable recommendations: PASS, QUARANTINE, REJECT, or ESCALATE The AMD MI300X's 205.8GB of HBM3 unified memory is central to the pipeline — it allows full high-resolution images to be processed without downscaling, multiple vision models to be loaded simultaneously, and parallel batch inference across product streams. This is not possible on standard 24GB GPUs. Evaluated on the MVTec Anomaly Detection dataset (5,354 images, 15 industrial categories), OmniInspect achieves 80% accuracy zero-shot — improving from a 65% baseline through contrast and sharpness image enhancement preprocessing. The entire pipeline requires zero training data, zero labelling, and can generalize to any visual inspection domain out of the box. The system ships with a live industrial-grade web dashboard built on FastAPI, where users can drag and drop images and receive complete inspection reports in under 20 seconds.
10 May 2026
