SentinelOps — AI Crisis Command on Band

SentinelOps is an AI-powered crisis command center built on top of Band's multi-agent infrastructure. When a high-stakes incident occurs — a data breach, financial fraud, ransomware attack, or regulatory emergency — organizations need coordinated decision-making across multiple domains simultaneously. SentinelOps makes that possible in minutes, not hours. Each of the 7 agents is registered as a Remote Agent on Band with its own API key and identity: Incident Commander, Security Agent, Operations Agent, Legal Agent, Finance Agent, PR Agent, and Executive Agent. When a crisis is launched, the Commander creates a Band chat room, adds all agents as participants, and initiates a sequential debate where each agent @mentions the next — creating a fully auditable, traceable decision chain inside Band. Agents powered by Llama 3.3 70B via Groq don't just agree with each other. Security pushes for immediate containment. Operations warns that containment destroys evidence. Legal flags regulatory notification windows. Finance quantifies the cost of every option. The Executive agent synthesizes the conflict into a final directive. The key differentiator is human-in-the-loop intervention. After the initial debate, a human operator can inject new intelligence directly into the Band crisis room. When new information arrives the agents recalibrate their positions in real time and issue updated directives. Every decision, conflict, and directive is logged with timestamps, agent identity, and model attribution — ready for regulatory audit. The full crisis timeline is exportable as a structured JSON report. SentinelOps is designed for Track 3: Regulated/High-Stakes scenarios where getting it wrong means legal liability, financial loss, or risk to human life. Band is not just the delivery layer — it is the orchestration backbone that makes multi-agent crisis coordination auditable and compliant by design.

RegIQ

ReguLattice - Local Sovereign GRC Engine

ReguLattice is a sovereign GRC (Governance, Risk, and Compliance) platform designed for enterprises in highly regulated, high-stakes, or national security sectors. Modern automated compliance tools are built on cloud-first SaaS models. They require organizations to connect their live databases and code repositories to third-party public clouds, which violates data localization regulations such as US CMMC 2.0, Saudi SAMA, and Pakistan's SBP. ReguLattice solves this by operating as a fully air-gapped compliance engine that runs locally inside the client's secure virtual private cloud. The system operates on three core principles: Private Local Compliance: All document analysis, mapping, and audit logging occur fully offline. Sensitive files never leave the organization's network, ensuring absolute protection of corporate intellectual property and data sovereignty. Cross-Compliance Graph: Our architecture maps a single technical evidence record to overlapping controls across multiple frameworks (like ISO 27001, ISO 42001, and regional banking guidelines), eliminating redundant audit efforts and speeding up verification. Custom Governance Console: The platform allows risk teams to align private offline intelligence with their company's custom internal policies and historical audit registries. By automating evidence gathering and compliance scoring locally, ReguLattice brings modern automation to the defense, financial, and critical infrastructure sectors without compromising security or sovereignty.

World Tech Intelligence

WTI AI (World Tech Intelligence) is an advanced artificial intelligence platform focused on helping businesses and organizations improve efficiency, security, and decision-making through intelligent digital solutions. The platform brings together multiple AI technologies, including virtual assistants, intelligent automation, computer vision, and AI-powered search, within a single integrated ecosystem. A key feature of the project is its Multi-Role AI Assistant, which allows users to create customized AI agents capable of supporting customer service, business operations, and workflow automation. These assistants are designed to adapt to different industries and organizational needs, helping reduce manual tasks and improve productivity. WTI AI also incorporates Vision AI technology that analyzes visual data in real time to enhance monitoring, safety, and operational management. This solution can be applied in environments such as transportation hubs, educational institutions, and public facilities, providing actionable insights and supporting faster responses to critical situations. Another important component is XSearch, an AI-powered search engine that delivers relevant and personalized results while emphasizing user experience and accessibility.

Verified News

**Verified News** is a real-time narrative verification platform that combats misinformation by autonomously fact-checking claims against live web data, social signals, community notes, and fact-checking databases. Where services like Ground News show *bias*, Verified News answers a harder question: **is it true?** The platform deploys a multi-agent swarm built on **CrewAI**, powered by **Bright Data's** full web data infrastructure (MCP Server, SERP API, Web Unlocker, Scraping Browser, Web Scraper API), with all reasoning running through **AI/ML API** and **Gemma 4 31B**. Verdicts are delivered as color-coded trust badges (🔵 Blue, 🟢 Green, 🟡 Yellow, 🟠 Orange, 🔴 Red, ⚪ Gray) with full evidentiary transparency. For **enterprises**, Verified News is two products in one: - ** Security & Compliance:** A threat intelligence layer that detects disinformation campaigns, false product recall rumors, fake executive statements, and leaked data narratives before they crater stock prices or trigger regulatory action. - ** GTM Intelligence:** A brand health and competitive intelligence platform that verifies market narratives and competitor claims, giving revenue teams accurate ground truth for messaging and positioning.

BuildLane Horizon

BuildLane Horizon is a fully decoupled, multi-agent intelligence platform engineered to map competitive market transitions in real-time. Modern enterprise web data is locked behind aggressive anti-bot firewalls, and the data that is accessible is highly unstructured. BuildLane Horizon solves this by autonomously bypassing scraper blocks, extracting raw DOM matrices, and utilizing AI to synthesize that unstructured data into a persistent, relational cognitive memory graph. How it Works & Core Features Targeted Extraction: The engine utilizes asynchronous Python streams to safely pull raw HTML layouts from enterprise domains without triggering bot protections. Context Synthesis: Instead of standard regex scraping, we use AI to parse the complex DOM tree, identifying high-level strategic shifts like changes in monetization structures, evolving value propositions, and targeted engineering hiring trends. Graph Serialization: The system ingests the AI output and maps it into a vector/graph database, creating persistent relational chains (e.g., mapping a competitor's pivot toward Enterprise AI). The Architecture (Tech Stack) Extraction Engine: Bright Data Web Unlocker Cognitive Parser: Google Gemini 3.5 Flash Memory Graph Layer: Cognee Vector & Graph Memory Backend Framework: Python 3.11 + FastAPI Frontend Dashboard: React + Vite + Tailwind CSS v4 By strictly separating the extraction backend from the high-contrast React UI, BuildLane Horizon delivers a deterministic, real-time stream of actionable market intelligence rather than just raw, unformatted data.