Alex Glebov@alex_g194

Managing a hedge fund portfolio demands swift and informed trading decisions, a challenge compounded by the vast data influencing stock prices. To address this, we've developed a sophisticated Market AI chat experience leveraging cutting-edge technologies like Cohere, Langchain, and Weaviate. This solution is tailored for investors seeking to efficiently conduct research on publicly traded companies. It offers seamless access to critical information drawn from company filings, and provides interactive capabilities to monitor current portfolio status. Additionally, users can effortlessly execute buy or sell orders in real-time, directly responding to their queries and market dynamics. This integration of advanced AI and user-friendly interfaces ensures a comprehensive and agile investment management tool, streamlining the decision-making process for traders and investors.

AutoQuant: Your Personal AI-Driven Investment Edge In the high-stakes arena of stock trading, speed and accuracy are paramount. AutoQuant revolutionizes this space by offering you your very own personal AI hedge fund, capable of executing lightning-fast trades to capitalize on market movements before they become yesterday's news. Harnessing Alpha from Cutting-Edge Financial News Analysis Our multi-agent platform is not just another trading tool; it's a fleet of specialized AI agents, each trained to dissect and interpret the nuances of financial news. AutoQuant stays abreast of the most reputable news sources, analyzing market sentiment, economic indicators, and breaking financial events in real-time. This ensures that you're always ahead of the curve, seizing investment opportunities the moment they arise. Multi-Modal AI for Unparalleled Investment Decisions Utilizing a multi-modal approach, AutoQuant combines quantitative analysis with state-of-the-art natural language processing. It understands the context, not just content, distinguishing between genuine market-moving information and noise. Whether it's a sudden shift in oil prices or a subtle change in monetary policy, AutoQuant's AI discerns and quantifies how news impacts financial securities, from stocks to bonds to commodities. Maximizing Yields with Precision and Intelligence AutoQuant isn't just fast—it's precise. Every trade is the result of meticulous AI analysis, considering historical data, current trends, and predictive analytics. By doing so, we aim to deliver optimal investment outcomes and maximize your yields. Our platform is designed for those who recognize the power of leveraging AI in their investment strategy, providing an edge in an ever-competitive market.

In the high-stakes arena of finance, professionals are inundated with voluminous 10-Q filings from the SEC's Edgar database, crucial for making informed decisions yet burdensome to navigate. Enter Ticker Analyst, a cutting-edge AI-powered tool poised to revolutionize this process. Designed specifically for financial analysts, savvy investors, and academic researchers, Ticker Analyst simplifies the extraction and analysis of complex financial data. By simply entering a stock ticker, users activate an intelligent crawler that swiftly crawls the EDGAR database to extract the relevant data and passes it to Vectara, an innovative solution to quickly using AI embeddings, chunk data into better clusters, and provide an advanced vector search to retrieve relevant data based on a user query. This not only slashes research time but also equips users with immediate, actionable insights, allowing them to stay ahead in the fast-paced financial market. Ticker Analyst is more than an app; it's a gateway to empowered decision-making, positioning users at the forefront of financial intelligence. It's not just about reading data—it's about experiencing it, engaging with it, and leveraging it to its full potential.

In an increasingly uncertain world, the ability to anticipate and prepare for potential future events has never been more crucial. Users can input hypothetical situations—ranging from geopolitical conflicts to natural disasters—and our tool generates detailed documents describing what the world would look like afterwards. These simulations are extremely valuable to policymakers, researchers, and the general public, who are part of a growing market focused on disaster preparedness and strategic foresight. Our solution not only forecasts scenarios but also organizes the resulting data into a Retrieval-Augmented Generation (RAG) database. This setup enables an LLM agent to interactively answer queries, and deep insights in order to aid in response strategies.

Falcon Vision AI is an innovative solution designed to address the challenges faced by visually impaired individuals in navigating their environment. This AI-powered mobile application leverages advanced computer vision, natural language processing, and speech recognition technologies to provide real-time assistance to users. Our app aims to significantly improve the quality of life for the visually impaired by offering: - Real-time environmental analysis: Using the smartphone's camera, Falcon Vision AI scans the surroundings and provides an important audio descriptions of objects, obstacles, and potential hazards, and what the person should do next if they want to navigate this environment. (current version) - Enhanced safety: By alerting users to potential dangers and providing clear directional guidance, Falcon Vision AI aims to reduce the risk of accidents and injuries common among visually impaired individuals. - Increased independence: With comprehensive, context-aware assistance, users can navigate unfamiliar environments more confidently, promoting greater autonomy in daily life. - Natural language interaction (future version): Users can ask questions about their environment and receive contextually relevant information through an intuitive voice interface. - Personalized assistance (future version): The app adapts to individual user needs and preferences, offering tailored guidance for navigation and object identification.

LlamaVision Suite is an advanced AI platform that automates visual intelligence across sectors, including environmental protection, industrial applications, and public infrastructure. Built on a three-layer architecture, LlamaVision accelerates workflows from data preparation to autonomous action, making it a scalable solution across diverse industries. LlamaVision Suite Components: Llama Annotate (Training Layer): Automates dataset preparation, reducing annotation time by 90% and enabling rapid deployment of machine learning models. Llama Interpreter (Analysis Layer): Delivers deep contextual analysis with specialized modules for fire threat (LlamaFire), coral reef health (LlamaCoral), and forest health (LlamaTree). Llama Action (Response Layer): Transforms insights into autonomous responses, including fire-fighting drones (LlamaFireGuardian), alert systems (LlamaPing), and autonomous navigation (LlamaNav). Real-World Applications: • Environmental Protection: FireGuardian drones respond to wildfires, LlamaTree assesses forest health, and LlamaCoral monitors coral reefs, providing proactive protection across ecosystems. • Industrial Applications: Enhances quality control in manufacturing, optimizes supply chains, and strengthens safety compliance, improving precision and efficiency. • Public Infrastructure: Supports urban planning, traffic management, and emergency response through rapid detection and automated intervention. Market Opportunity: With a projected Total Addressable Market (TAM) of $175.72 billion by 2032, LlamaVision targets substantial growth across environmental monitoring, industrial quality control, healthcare, retail, and public safety. Initial focus includes a $5 billion Serviceable Obtainable Market (SOM) in environmental and industrial applications.