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🤝 Top Collaborators
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🤓 Latest Submissions
Zelene: AI Chief Intelligence Officer for Business
Every business is surrounded by signals: competitor pricing changes, sentiment shifts, hiring surges, regulatory developments. The problem is not access to information. It is connecting information before it becomes obvious. Zelene is an AI Chief Intelligence Officer that learns your business through conversation, continuously observes the public web via Bright Data, and transforms fragmented signals into actionable enterprise intelligence. Not a chatbot. Not a dashboard. A strategic intelligence presence. The experience begins with conversational onboarding. Zelene learns your company, industry, competitors, and goals through a natural five-stage dialogue. No forms. Just conversation. Once Zelene understands your business, it goes to work. Using Bright Data's SERP API, Web Scraper, and Web Unlocker, it discovers relevant sources in real time. Signals are extracted, validated, connected, and contextualized through a seven-node LangGraph pipeline. Every observation is grounded in discoverable web sources. After synthesis, intelligence is persisted to Cognee's knowledge graph for cumulative memory. The View is where intelligence lives. Three panels, one dominant at a time. The Signal Feed streams observations with evidence provenance. The Intelligence Map visualizes entities and relationships as a living graph with pulse reactions on new signals. Zelene Chat delivers proactive insights with reasoning chains. What makes Zelene different is restraint. Confidence scores are calibrated, never fabricated. Every signal links back to its source. Zelene applies across all three tracks: GTM Intelligence, Finance and Market Intelligence, and Security and Compliance. The full demo runs in simulation mode with zero API costs. Real integrations activate with a single env variable. Built with Bright Data, AIMLAPI, Cognee, LangGraph, Next.js, and FastAPI.
31 May 2026
ContextOS
ContextOS closes the $100B Invisible Workflow Gap by transforming undocumented enterprise operations into governed, AI-executable workflows. Today, critical enterprise processes are trapped inside PDFs, SOP documents, tribal knowledge, disconnected systems, and manual approvals. While companies are rapidly adopting AI agents and automation, most workflows still lack visibility, governance, and operational context. This creates major risks including compliance failures, unauthorized actions, hallucinated automation behavior, and fragmented decision making. Users can upload PDFs, images, or text-based SOPs into the platform. Using Gemini-powered multi-agent orchestration, ContextOS analyzes the workflow, extracts entities and dependencies, identifies operational risks, and transforms the process into a visual Directed Acyclic Graph (DAG) representing the entire execution chain. Instead of blindly automating tasks, ContextOS introduces governance-first orchestration. Every workflow is executed inside a Digital Twin simulation environment where actions can be monitored before reaching production systems. During execution, the platform continuously evaluates policies using a Veea-inspired Zero-Trust Governance Layer capable of detecting risky autonomous behavior in real time. If a high-risk action violates enterprise policy, ContextOS immediately intercepts the workflow, freezes execution, and routes the action into a Human-in-the-Loop approval process with full explainability and auditability. The platform combines AI agents, workflow intelligence, digital twin simulation, policy enforcement, enterprise observability, and contextual RAG-based operational reasoning into a single orchestration layer. Built with React, TypeScript, TailwindCSS, React Flow, Google AI Studio, Gemini 3 Pro, Gemini 3 Flash, and REST APIs, ContextOS demonstrates a future where enterprise AI systems operate with visibility, governance, security, and accountability instead of blind automation.
19 May 2026
