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🤝 Top Collaborators
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🤓 Latest Submissions
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Pharma-AI
Across Africa and many parts of the world, medicinal plants remain a primary source of healthcare for millions of people. Yet critical scientific knowledge about their active compounds, therapeutic mechanisms, clinical validation, and drug interactions is fragmented across complex databases and scattered research papers. Researchers, pharmacists, and healthcare professionals lose valuable time navigating disconnected sources, while patients risk unsafe herb-drug combinations. Pharma-AI transforms this challenge into an opportunity by making trusted medicinal plant intelligence instant, accessible, and actionable.
10 May 2026
Atlas AI
Atlas AI is an explainable artificial intelligence system designed for trading platforms operating in high-risk financial environments. Today, platforms face three major challenges: financial losses caused by fraud, poor user risk management, and increasing regulatory pressure requiring transparency in automated decisions. Existing solutions often rely on black-box models that lack trust and accountability. Atlas AI addresses this gap by combining real-time risk prediction with explainable AI. The system analyzes user behavior, trading patterns, and risk signals to detect anomalies, predict potential losses, and flag high-risk accounts. For every alert or decision, Atlas AI provides clear, human-readable explanations that can be understood by platform operators, users, and regulators. This approach improves trust, reduces fraud, strengthens compliance, and enables safer, more responsible platform growth. Atlas AI is scalable, API-driven, and designed to integrate seamlessly into platforms like Deriv.
7 Feb 2026
AI Chief of staff
AI Chief of Staff is an enterprise-grade, fully autonomous agentic AI platform built on IBM watsonx Orchestrate. Designed to function like a virtual Chief Operating Officer, it intelligently analyzes organizational KPIs, identifies operational bottlenecks, generates weekly strategies, and orchestrates tasks across teams — transforming executive operations into a self-driving system. With a seven-agent multi-layer architecture, the system automates every stage of operational management: KPI Data Ingestion: Reads and validates business metrics from CSV or Google Sheets. KPI Analysis: Computes trends, anomalies, and week-over-week performance changes. Root Cause Diagnosis: Determines the most likely reasons KPIs underperform using pattern analysis. Strategy Planning: Generates prioritized initiatives with owners, acceptance criteria, risks, and effort estimations. Task Orchestration: Creates Jira/Trello tasks, assigns owners, sets due dates, and updates Notion docs. Meeting Scheduling: Automatically coordinates team calendars and creates meeting invites with agendas. Risk Prediction: Calculates SLA breach probability and recommends mitigations. This system reduces executive planning time by 70%, automates 90% of routine execution tasks, and identifies risks days before they escalate, offering measurable ROI for any organization. Built for the Agentic AI Hackathon with IBM watsonx Orchestrate, the platform demonstrates how workflow automation, LLM reasoning, and tool integrations (Jira, Slack, Google Calendar, Notion, Sheets) can collaborate to create a next-generation digital executive. The result: A truly autonomous COO that turns organizational data into decisions, strategies, tasks, and actions — all in less than 90 seconds.
23 Nov 2025
