At Xory, we develop AI products and services that benefit humanity. We’re building a team of exceptional minds to tackle the world’s toughest tech challenges in a collaborative, forward-thinking environment. If you're passionate about AI and want to make an impact, email us (team@xory.us) your resume or portfolio—along with your interests and goals—anytime. 

Xory is an equal opportunity employer committed to a supportive, inclusive workplace. We prohibit discrimination or harassment based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic info, or any other protected status. We consider qualified applicants with criminal records. If you need an accommodation, email us at team@xory.us

We are a group of for-profit and nonprofit artificial intelligence and robotics companies. We build artificial intelligence products and services to serve humanity. 

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Xory

Email: team@xory.us, team@aicody.com, team@aideo.us | Phone: +1 (415) 952-7773 | +1 (415) 439-0773 | +1 (307) 429-2424

San Francisco HQ

The Aicody Operations team is central to delivering a seamless client experience. From initial onboarding to day-to-day support, they collaborate closely with both customers and internal tech teams to ensure smooth deployments, reliable performance, and prompt assistance. Their commitment to operational efficiency and regional flexibility helps foster lasting partnerships and drive meaningful outcomes for every client.

Operations

𝐀𝐈𝐕𝐄𝐒𝐓 is designed to provide investors with actionable insights into the stock market by offering buy, sell, and hold recommendations based on real-time market data. The software uses sophisticated algorithms to evaluate stock performance, market trends, and various financial indicators, offering personalized advice tailored to the individual investor's portfolio and risk profile. By analyzing large datasets from multiple sources, including news articles, financial reports, and social media sentiment, the software can predict market movements and suggest optimal trading strategies. One of the most significant benefits of AI Stock Analytics Software is its ability to automate the analysis process, saving investors time and effort while reducing the potential for human error. In addition, the software can adapt to changing market conditions, ensuring that the recommendations remain relevant even in volatile or uncertain market environments. By providing a clear and concise set of recommendations, the software helps investors make more informed decisions, whether they are looking to maximize profits, minimize losses, or maintain a balanced portfolio. With its ability to provide insights quickly and accurately, AI Stock Analytics Software is an indispensable tool for investors looking to optimize their trading strategies and improve their financial outcomes.

𝐀𝐈𝐕𝐄𝐒𝐓

Ground vehicles, ranging from private cars to large trucks, generate vast amounts of data during their operations, much of which is crucial for ensuring safety and performance. This data, including engine diagnostics, sensor readings, and environmental conditions, can be processed to identify potential risks, improve efficiency, and predict maintenance needs. As the automotive industry embraces artificial intelligence (AI), this data becomes even more valuable, paving the way for new revenue streams and business models. By integrating technologies like smart gateways, edge computing, and big data analytics, the automotive sector can provide enhanced products and services, such as predictive maintenance systems, autonomous driving features, and real-time traffic management solutions. With the evolution of AI, these innovations are expected to become deeply integrated into everyday driving experiences, fostering a future where vehicles are not just transportation tools but also data-driven smart machines capable of adapting to their environments.

𝐀𝐈𝐋𝐎𝐆

AI Condition Based Maintenance (CBM) Software is a cutting-edge platform designed to optimize the maintenance and operational efficiency of industrial machinery. Unlike traditional time-based maintenance systems, which schedule maintenance at fixed intervals regardless of equipment condition, AI-driven CBM uses real-time data collected from sensors embedded in machinery to monitor performance continuously. This system employs advanced machine learning algorithms to predict failures before they occur, allowing operators to perform maintenance only when it is needed, based on the actual condition of the machine. By integrating artificial intelligence, the platform can analyze vast amounts of sensor data, identifying patterns and anomalies that are indicative of potential issues. This proactive approach minimizes downtime, extends the lifespan of equipment, and reduces overall maintenance costs. The AI system continuously learns from historical data, improving its predictive accuracy over time, and ensuring that maintenance efforts are precisely targeted. This results in a more efficient, cost-effective, and reliable maintenance strategy, which is particularly valuable in industries such as manufacturing, mining, and energy, where machinery downtime can have significant financial and operational consequences.

𝐀𝐈𝐌𝐎𝐍

The field of defense technology has greatly benefited from the development of AI Human-Machine Collaborative Software, which enables seamless interaction between human operators and advanced machine systems. In defense applications, the ability to quickly analyze complex scenarios and make rapid decisions is critical, and this software is designed to facilitate that process. Using AI-powered systems, the software can analyze vast amounts of data in real time, assisting human operators by providing insights and recommendations based on historical patterns, current conditions, and predictive models. This collaborative system empowers defense personnel to make better-informed decisions, ultimately enhancing mission effectiveness and operational safety. By facilitating interactive discovery, the AI system augments human capabilities, allowing operators to focus on strategic decision-making while the software handles data analysis, pattern recognition, and scenario forecasting. This kind of collaboration between human and machine ensures that defense applications, such as military operations and security monitoring, are executed with maximum efficiency, precision, and situational awareness. Furthermore, this system can be customized to meet the specific needs of different defense sectors, whether in air, land, or maritime operations.

𝐀𝐈𝐆𝐄𝐍𝐓

𝐀𝐈𝐑𝐒𝐓𝐀𝐍𝐂𝐄 Software has become an essential tool in the modern aviation industry, primarily due to its capacity to improve safety, reduce downtime, and lower repair costs. The aviation industry faces constant pressure to maintain high safety standards while minimizing costs associated with aircraft maintenance. With fleets of aircraft requiring regular inspections and servicing, the cost of maintaining these assets can be significant. AI-powered maintenance software plays a key role in addressing these challenges. By integrating advanced machine learning algorithms, the software can predict equipment failures before they occur, providing early warnings and suggesting proactive maintenance measures. This not only enhances the reliability of the aircraft but also allows airlines to schedule maintenance during non-peak times, minimizing operational disruptions. Furthermore, by continuously learning from historical data, the AI system can optimize repair procedures, ensuring that they are carried out efficiently, reducing both the labor and part replacement costs. This proactive approach leads to fewer unexpected failures, thus improving the overall uptime of aircraft and increasing the lifespan of expensive components.

𝐀𝐈𝐑𝐒𝐓𝐀𝐍𝐂𝐄

In today's digital world, cybersecurity threats are more prevalent and sophisticated than ever before, making it imperative for organizations to protect their sensitive data and systems. AI Cyber Platforms are designed to provide advanced security capabilities, leveraging machine learning and artificial intelligence to detect, prevent, and mitigate potential threats in real time. These platforms are capable of analyzing massive amounts of data to identify patterns and anomalies that may indicate a security breach. Unlike traditional cybersecurity systems, which rely on predefined rules and signatures, AI-powered platforms can adapt to emerging threats by continuously learning from new attack vectors and tactics. This adaptive nature allows the platform to stay ahead of evolving cyber threats and reduce the likelihood of successful attacks. Additionally, AI Cyber Platforms can automate many security processes, such as vulnerability scanning, intrusion detection, and incident response, reducing the burden on human security teams. With their ability to predict, identify, and mitigate threats autonomously, these platforms enhance the overall security posture of organizations and provide peace of mind in an increasingly digital landscape.

𝐀𝐈𝐒𝐄𝐂

In the realm of space exploration, the identification and tracking of space debris have become critical components of mission safety. Space debris consists of non-functional satellites, rocket fragments, and other man-made objects orbiting the Earth, which pose significant risks to active spacecraft. To address this issue, we have developed an advanced 𝐀𝐈𝐒𝐂𝐀𝐍 Software designed to classify and track these objects with high precision. Leveraging the power of Artificial Neural Networks (ANNs), this system analyzes visual data captured by telescopes, spacecraft cameras, or satellite imagery to identify space debris from celestial bodies and operational satellites. The AI system categorizes debris based on size, shape, and material composition, enabling space agencies and organizations to monitor debris trajectories and predict potential collisions. This capability is vital for maintaining the safety of active satellites and space missions, helping to mitigate the growing threat posed by space debris in Earth's orbit.

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