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AI-enabled catalogs give decision-makers real-time, actionable insights
Akira AI
Agentic AI native platform to adapt, learn and innovate with Intelligent AI Agents while driving efficiency and agility
Distributed System consists of multiple decision-making agents that can adapt, learn and act autonomously in a shared environment to achieve common or conflicting goals.
Integration of AI agents that act autonomously within data and analytics workflows to optimize decision-making and streamline processes.
Autonomous, Flexible, Precise and Intuitive Agents with diverse capabilities to complex workflows, data-driven decision-making.
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Collaborative Intelligence to elevate your IT operations, service, and asset management.
ElixirData
Decision and Contextual Intelligence with Composite AI for decision-centric user interface to automate and augment decision making
Design Agentic workflows by combining Data, context and AI to make fast, accurate and reliable.
Orchestrating Decision Management with Business rules, Knowledge graph and AI Agents for prescriptive and actionable recommendations.
Evaluating, Monitoring the decisions and Retaining decision artifacts and conducting decision retrospective.
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Managing AI Risks and Compliance with Agentic Trust Score for building trustworthy AI Agents and Agentic automation
XenonStack AI
Highly perceptive, accurate, and interactive visual AI agents to make better decisions using richer insights generated from natural interactions
Vision Language Models, VLM's allow users to interact with images and videos using natural language, gaining contextual insights.
Agentic Workflows for building EDGE AI applications and integrating into any Enterprise Systems and Applications for High Availability, reduced cost, Device Intelligence and Increased Privacy.
Autonomous Retail Stores with Agentic AI and Visual Agents enabling safety and hygiene with personalized experiences and valuable real-time insights and better inventory management and purchasing decisions to improve store efficiently.
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Knowledge Management and Customer Experience with Real-Time Decision making and Insights
NexaStack
Compound System for Efficient Deployment and Scalable AI workloads for Private Cloud AI Compute Engine
AI training model to perform specific tasks by providing it large amounts of data from scratch and Fine tuning enables and adapt AI models to specific tasks without starting from scratch.
Unified Platform to deploy, govern, and query AI and ML models for real-time and batch inference for Cloud and On-premises Environments.
Private Cloud Compute is custom-built server hardware that brings the power and security with Stateless computation and enforceable guarantees, No privileged runtime access, Non-targetability and Verifiable transparency.
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MetaSecure
AI risk management involves Data , Model, operational, Ethical and compliance risks for identifying and addressing vulnerabilities and threats for Agentic Systems
Enabling faster threat detection, containment, investigation and response. Eliminating alert fatigue and hyperautomation of Case Management with Agentic AI and Augment Soc Analysts with Aviators and Droids.
To identify and explore potential risks in an AI system by simulating real-world attacks, including malicious inputs, biased data, or adversarial manipulation attempts with structured way including leaks of sensitive data and generated content.
AI Application Security involves AI Security and AI Safety and Putting AI risk management framework into action with Visibility through an AI-BOM, Proactive risk mitigation with context and Threat detection in AI pipelines.
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Coordinate AI agents within a unified system to achieve shared objectives across your business
Neural AI OS
Identifying potential Risks, assessing data biases, assuring transparency and explainability, mitigating risks with privacy by design, continuous monitoring and evaluation, and defined accountability structure and metrics
Combining AI Guardrails and LLM Evaluation Towards Trustworthy, Explainable, Safe, and Ethical AI.
Human- Machine Interface design principles, privacy by design to build Safe AI Systems with combining systems engineering principles, software engineering and computer science.
Multi-Cloud Well-Architected Framework define principles and methods to design, build, and manage AI and ML Systems for operational, security, reliability, cost, and performance goals.
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How Industries and different departments use Agentic Workflows and Decision Intelligence to Become Decision Centric.
Revolutionizing travel with advanced tech for faster, safer air and space journeys
Autonomous operations boost financial services by improving accuracy, speed, and efficiency
Automotive and industrial sectors with improved precision, speed, and efficiency
Boosting the tech industry with faster, more precise, and highly efficient processes
Enhancing consumer tech with smarter, faster, and more reliable performance for daily life
XenonStack XAI Bootcamps helps Enterprises to understand how to Infuse AI into Processes and Enterprise Systems and Reimagined the Enterprise workflows and developed initial use cases and onboarded and trained the resources for production environments.
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Emergent Mindset and Critical Thinking with Continuous Experimentation? You belong at XenonStack
Deep dive into Technology Accelerators and Agentic AI Adoption with Emerging Tech
