XenonStack Inc

Agent FinOps

XenonStack

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Automate Azure cost analysis, optimization, and forecasting with AI-driven multi-agent intelligence.

Agent ITOps

XenonStack

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AI-powered IT operations with natural language control, automation, and real-time remediation on Azu

Nexastack AI

XenonStack

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AI MSP platform for secure, compliant, and cost-optimized deployment of large language models (LLMs)

Agent Analyst

XenonStack

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Agent Analyst on AWS is an AI-native analytics solution that unifies insights across modern data platforms and legacy systems. Deployed on Amazon EKS with a multi-agent architecture, it enables natural language analytics, explainable insights, and Responsible AI compliance. With integrations across ERP, CRM, and platforms like Snowflake, Databricks, and Redshift, it eliminates silos and accelerates root-cause analysis. Using AWS services such as Bedrock, SageMaker, and CloudWatch, Agent Analyst delivers secure, scalable, and compliant analytics for use cases from anomaly detection to supply chain forecasting—empowering teams with faster, transparent, and actionable intelligence.

Agent Autonomous Ops

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AutonomousOps.ai is an AI-powered cloud operations platform that automates reliability, cost optimization, compliance, and DevOps workflows on AWS. Powered by autonomous agents and deep AWS-native integrations, it continuously monitors cloud environments, detects anomalies, performs RCA, enforces policies, and optimizes cost and performance. With Agent Mode (human-in-the-loop), teams can approve or modify recommended actions before execution—ensuring safe, controlled automation. AutonomousOps.ai helps CloudOps, SRE, FinOps, and Compliance teams reduce operational overhead, accelerate incident resolution, and maintain governance across multi-account, multi-region AWS environments.

Agent Data Quality

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Agent Data Quality is a cloud-native, scalable platform designed to automate data quality governance using LLM-powered agents. Built on Amazon EKS and integrated with services like Amazon Bedrock, RDS, and S3, it enables dynamic rule validation, contextual reporting, and automated compliance enforcement—delivering trust, transparency, and operational control across enterprise data pipelines.

Agent Decision Traceability & Audit Engine

XenonStack

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Audit-ready AI decision tracing with policy lineage, approvals, and explainable outcomes

Agent Design

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AI-powered interior design platform with Stable Diffusion for intelligent space modification.

Agent ETL

XenonStack

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ETL AI Agent is an AWS-native, cloud-native solution that automates and governs enterprise data pipelines across diverse data sources. Built as a containerized multi-agent system on Amazon ECS, it combines automated extraction, intelligent transformations, continuous data quality validation, schema drift detection, and observability by design. The solution ensures reliable, scalable, and audit-ready ETL pipelines for analytics, AI/ML, and operational workloads. By embedding data quality, explainability, and governance into every stage of the data lifecycle, ETL AI Agent reduces pipeline failures, operational overhead, and downstream data risk—enabling organizations to trust and operationalize their data on AWS with confidence.

Agent Evaluation

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Agent Evaluation is an enterprise-grade, AI-native solution for evaluating and benchmarking end-to-end (E2E) AI systems. It validates the performance, reliability, and compliance of LLMs, AI agents, and complete workflows using a multi-agent evaluation framework deployed on AWS. Powered by LangGraph, Ragas, and LLM-as-a-Judge, the platform integrates with Langfuse for trace observability and Aurora PostgreSQL for structured results. It enables enterprises to assess reasoning accuracy, trajectory compliance, and orchestration correctness while ensuring fairness, safety, and Responsible AI. With AWS-native scalability on Amazon EKS and full observability through Langfuse and CloudWatch, Agent Evaluation delivers traceable metrics, enriched traces, and structured summaries—empowering organizations to benchmark, monitor, and trust their AI systems across the entire lifecycle.

Agent Evaluation

XenonStack

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AI-powered evaluator for validating LLMs, agents, and full end-to-end AI solutions

Agent Force

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AI agent automating enterprise outreach, engagement, and communication workflows

Agent Force - AI Sales & Customer Engagement Platform

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Agent Force, powered by ElixirClaw (Agentic Execution OS) and ElixirData (Context & Decision Intelligence Platform), is an AI-driven sales and customer engagement solution deployed on AWS. It enables autonomous lead qualification, outreach, forecasting, and pipeline management through governed multi-agent workflows. Built using AWS-native services, the platform integrates seamlessly with CRMs like Salesforce and HubSpot, and communication tools such as Slack and Gmail. It delivers real-time decision intelligence, automated engagement, and policy-controlled execution—helping enterprises improve conversion rates, reduce response times, and scale revenue operations efficiently.

Agent GRC

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Always-on AI-powered governance, risk, and compliance for enterprises on Azure.

Agent GRC

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AgentGRC delivers continuous governance, risk, and compliance on AWS with autonomous agents monitoring IAM, Config, Security Hub, GuardDuty, Macie, and Inspector for drift, misconfigurations, and data exposure. Evidence is centralized in Amazon S3, indexed in DynamoDB, and surfaced through secure auditor portals. A unified mapping engine links AWS controls to SOC 2, ISO 27001, HIPAA, GDPR, PCI-DSS, NIST, and EU AI Act. AgentGRC also governs AI workloads on SageMaker and Bedrock, detecting drift, bias, and enforcing human-in-the-loop approvals. Built for multi-account AWS Organizations and Control Tower, it embeds compliance into CI/CD, reduces audit fatigue, and ensures enterprises remain continuously audit-ready while scaling AI and cloud workloads.

Agent GRC

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Agent ITOps is an AI-powered, natural language IT operations platform built on AWS. It enables teams to execute complex infrastructure tasks—such as scaling services, patching systems, retrieving logs, resolving incidents, and updating configurations—simply by describing them in plain English. Powered by Amazon Bedrock and containerized agents on Amazon EKS, the platform interprets intent, generates precise execution plans, and performs actions with full policy enforcement and real-time feedback. With built-in approvals, guardrails, and audit logging, Agent ITOps reduces manual toil, accelerates incident response, eliminates scripting overhead, and ensures secure, consistent operations across AWS and hybrid environments

Agent HR

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AI-driven recruitment platform automating resume screening, AI interviews, and predictive hiring.

Agent HR

XenonStack

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Agent HR is an AI-driven recruitment platform built on AWS, designed to streamline candidate screening, interviewing, and evaluation. It automates resume parsing, conducts AI-based interviews, generates inclusive job descriptions, and predicts candidate success, reducing hiring time and improving quality. Leveraging AWS services like Amazon SageMaker, Transcribe, Comprehend, Lex, Rekognition, and Bedrock, Agent HR delivers a scalable, secure, and compliant solution with seamless integration into existing HR systems.

Agent IAM

XenonStack

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Agent IAM is an Agentic AI–powered Federated Identity and Access Management solution that unifies human, machine, and AI identities across AWS, Azure, SaaS, and on-prem environments. Built natively on AWS, it centralizes authentication, authorization, and lifecycle management while automating Joiner–Mover–Leaver workflows through HRMS/ITSM integration. The platform supports modern apps (OIDC, SAML, SCIM, APIs) and legacy systems via Computer Use Agents for automated provisioning. With policy enforcement through OPA, short-lived AI access tokens, and complete audit logging, Agent IAM provides secure, compliant, and scalable identity governance for hybrid enterprises

Agent Instruct

XenonStack

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AI-powered data quality validation, reporting, and compliance automation on Azure.

Agent ITOps

XenonStack

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Agent ITOps is an AI-powered, natural language–driven IT operations platform built on AWS. It enables enterprise teams to execute complex IT tasks through a secure, chat-based interface powered by Amazon Bedrock and containerized agents running on Amazon EKS. With Agent Mode, operators simply describe actions in plain language—such as scaling infrastructure, applying patches, resolving incidents, or updating configurations—and the system automatically interprets, plans, and executes them with full policy enforcement and real-time feedback. Agent ITOps reduces manual effort, accelerates incident resolution, eliminates scripting overhead, and ensures all changes are secure, auditable, and compliant across hybrid cloud environments.

Agent Label

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Build intelligent annotation workflows with visual AI agents—accelerate data labeling

Agent Label

XenonStack

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Agent Label is an AI-powered data labeling and annotation automation platform built on AWS, enabling enterprises to rapidly create, validate, and manage high-quality datasets for machine learning. Using agentic workflows on Amazon EKS, the solution automates labeling for text, image, audio, and video data, while Amazon Bedrock provides semantic quality checks and SageMaker Ground Truth supports human-in-the-loop review. Event-driven orchestration with Lambda and EventBridge streamlines ingestion, validation, metadata tracking, and audit logging. With end-to-end encryption, compliance alignment, and scalable autoscaling pipelines, Agent Label reduces manual labeling effort, improves accuracy, and accelerates ML model development across enterprise workloads.

Agent Optimizer

XenonStack

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Agent Optimizer is a multi-agent orchestration platform that reduces the cost and latency of LLM-powered applications by intelligently routing each request to the most efficient model. A central controller evaluates incoming queries and decides whether they can be handled by lightweight models or need to be escalated to larger LLMs, avoiding wasteful brute-force execution. Framework- and vendor-agnostic, it integrates seamlessly with existing AI pipelines and continuously optimizes routing, prompts, and resource usage through built-in evaluation and observability, enabling enterprises to scale GenAI workloads efficiently while maintaining performance and ROI.

Agent Policy Context Compilation Engine

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Compiles trusted enterprise context and policies before AI reasoning and execution

Agent QA

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AgentQA is an AI-powered, chat-based software testing solution built on AWS. It enables teams to generate, execute, and analyze automated tests using natural language—no scripting or CI/CD required. Leveraging Amazon Bedrock for test generation and Playwright for execution, AgentQA runs in a secure, scalable, serverless environment. With real-time feedback, intelligent orchestration, and seamless integration into tools like Slack and GitHub, AgentQA simplifies QA automation for developers, testers, and product teams alike.

Agent RAI

XenonStack

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AgentRAI is a multi-agent Responsible AI (RAI) governance platform that automates fairness, bias detection, explainability, and regulatory compliance across the AI/ML lifecycle. Built on a modular, protocol-driven architecture, it integrates seamlessly with MLOps pipelines and tools like SageMaker, MLflow, and Kubeflow. AgentRAI provides continuous monitoring, audit trails, and policy enforcement for AI models from development to deployment. Designed for enterprises in regulated industries, it ensures alignment with standards such as the EU AI Act, GDPR, and NIST, helping organizations build trustworthy and accountable AI systems at scale.

Agent RAI

XenonStack

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Unlock efficiency with Agent RAI, designed for seamless AI integration and workflow optimization.

Agent SAIF

XenonStack

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Agent SAIF (SAIF Aviator) is an Autonomous Vision Intelligence Framework built natively on AWS to deliver real-time, multimodal analytics and decisioning at the edge. It combines computer vision, deep learning, and agentic orchestration to automate surveillance, inspection, and operational workflows across manufacturing, logistics, aviation, energy, and public safety. Leveraging AWS EKS, SageMaker, Bedrock, and IoT Core, Agent SAIF enables edge-first visual intelligence, secure data pipelines, autonomous agents for detection and tracking, and continuous learning loops. Enterprises use SAIF to reduce manual monitoring, improve accuracy, accelerate incident response, and scale visual AI reliably across distributed environments

Agent SAIF

XenonStack

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Agent SAIF (SAIF Aviator) is an Autonomous Vision Intelligence Framework built natively on AWS to deliver real-time, multimodal analytics and decisioning at the edge. It combines computer vision, deep learning, and agentic orchestration to automate surveillance, inspection, and operational workflows across manufacturing, logistics, aviation, energy, and public safety. Leveraging AWS EKS, SageMaker, Bedrock, and IoT Core, Agent SAIF enables edge-first visual intelligence, secure data pipelines, autonomous agents for detection and tracking, and continuous learning loops. Enterprises use SAIF to reduce manual monitoring, improve accuracy, accelerate incident response, and scale visual AI reliably across distributed environments.

Agent Scrum

XenonStack

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Agent Scrum is a fully managed Agentic AI SaaS platform that automates Agile ceremonies end-to-end for engineering organizations. Powered by autonomous agents, it streamlines backlog prioritization, sprint planning, daily standups, impediment tracking, reviews, and retrospectives — all directly inside MS Teams and Jira. Built on AWS with enterprise-grade security, auditability, and human-in-loop controls, Agent Scrum eliminates manual overhead, improves sprint discipline, and enables asynchronous, globally distributed collaboration.

Agent Scrum

XenonStack

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Automates Agile Scrum ceremonies with AI agents natively on Microsoft Azure

Agent Search

XenonStack

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Transform unstructured documents into smart, searchable knowledge graphs for instant answers.

Agent Search

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AgentSearch is a powerful semantic search platform that integrates structured, semi-structured, and unstructured enterprise data. Powered by a graph-enhanced RAG architecture and Amazon Bedrock, it provides fast, explainable, and secure AI-driven search responses. The platform is optimized for scalability and performance, leveraging Kubernetes for parallel indexing and built-in security features like AWS IAM and VPC. It’s ideal for use cases in enterprise knowledge discovery, legal compliance, policy Q&A, and e-commerce insights. Designed for teams in regulated industries, AgentSearch improves productivity, reduces research time, and ensures compliance through auditable AI-driven search.

Agent Sketch

XenonStack

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Agent Sketch is an AI-powered Creative Automation platform that enables enterprises to generate brand-aligned visuals—logos, icons, marketing banners, and more—at scale. Built on a modular, multi-agent architecture and deployed on AWS cloud-native infrastructure, it combines generative AI, contextual memory, and declarative workflows to automate design creation, enforce brand consistency, and accelerate campaign delivery. With integrations through REST APIs, human-in-the-loop approvals, and enterprise-grade security, Agent Sketch empowers design and marketing teams to reduce manual workload, ensure compliance with brand rules, and deliver high-quality creative assets in minutes instead of days.

Agent SRE

XenonStack

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Autonomous AI-powered observability and incident management for hybrid cloud infrastructure

Agent SRE for Agentic AI Observability

XenonStack

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Agent SRE is an AI-powered observability and incident management platform built on AWS, designed to boost infrastructure reliability using a LangGraph-based multi-agent system. It features predictive monitoring, autonomous remediation, and real-time diagnostics across hybrid and multi-cloud environments. Deployed on Amazon EKS and integrated with AWS services like Lambda, Bedrock, and CloudWatch, it reduces Mean Time to Resolution by 85% and alert fatigue by 92%. With a zero-trust security model and scalable architecture, Agent SRE serves industries like e-commerce, fintech, healthcare, and telecom, enabling a shift from reactive to autonomous, predictive operations.

Agent Tool Access Enforcement Agent

XenonStack

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Govern AI tool access with policy enforcement, authority checks, and runtime controls

Agent Trust Score

XenonStack

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Measure, monitor, and improve AI trustworthiness with data and model scoring.

Agentic AI Control Evidence Engine

XenonStack

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Continuously collect AI governance evidence for audits, controls, and compliance reporting

Agentic Workflow Exception Resolution Agent

XenonStack

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Resolve failed workflows with governed remediation, escalation, and audit traceability

Agentic workflows with DeepSeek & Open-Source Reasoning models on AWS

XenonStack

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Agentic RAG powered by the multi-Agent framework helps enterprises implement intelligent, conversational support systems using open-source foundation models and AWS-native services. It utilizes a sophisticated multi-agent Retrieval Augmented Generation (RAG) architecture with Llama 3.3 and DeepSeek-R1 LLMs, providing a flexible, scalable, and cost-efficient alternative to proprietary customer support AI systems. The architecture is centred around a three-tier agent system: Orchestration Agents (Llama 3.3), Knowledge Base Agents (DeepSeek-R1), and Response Generation Agents (Llama 3.3), which collaborate to process customer inquiries, retrieve contextual information, and generate personalized responses.

AI Agent Lifecycle Management Agent

XenonStack

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Manage AI agent lifecycle, versioning, approvals, health, and retirement workflows

AI Agent Memory & Precedent Intelligence

XenonStack

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Enterprise AI memory with approved precedents, policy context, and decision intelligence

AI Agent Risk & Authority Intelligence

XenonStack

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Assess AI agent authority, risk exposure, policy boundaries, and access intelligence

AI RAN Optimization Agent

XenonStack

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AI RAN Optimization is an AWS-native, multi-agent AI solution that autonomously monitors, analyzes, and optimizes 4G, 5G, and future 6G Radio Access Networks. Using coordinated AI agents powered by generative AI and machine learning, the platform continuously ingests RAN KPIs, detects anomalies, identifies root causes, and executes closed-loop optimization actions to improve throughput, coverage, quality of service, and energy efficiency. Built on Amazon Bedrock and AWS cloud services, the solution enables telecom operators to move toward fully self-optimizing, self-healing networks while reducing operational complexity, lowering OPEX, and accelerating the journey to TM Forum Level-5 autonomous networks

AI Tutor Agent

XenonStack

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The AI Tutor Agent with Context Graph–Enhanced Personalized Learning is a cloud-native solution designed to revolutionize education by delivering personalized learning experiences at scale. Utilizing AI agents and graph-based reasoning, the solution dynamically adapts learning paths, recommends content, and assesses student mastery in real time. Built on AWS services like Amazon EKS, Amazon Neptune, and Amazon Bedrock, it offers a scalable, secure, and explainable way to personalize education. This solution helps educational institutions move beyond static curricula, ensuring better learner engagement, improved outcomes, and reduced instructor workload.

Akira AI - Unified Agentic AI Platform

XenonStack

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Akira AI is Xenonstack’s Unified Agentic Platform—an enterprise-grade system that orchestrates intelligent AI agents across business processes and legacy systems. It enables collaborative intelligence across departments and technologies by integrating orchestration, automation, analytics, observability, and security. Akira AI brings intelligent agent orchestration to enterprise systems without requiring infrastructure overhaul. Its unified platform integrates seamlessly across legacy systems and new technologies, enabling dynamic, AI-driven workflows and real-time insights.

Amazon Personalize Based Recommendation Engine

XenonStack

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Our Amazon Personalize-based recommendation platform leverages advanced machine learning techniques to deliver personalized recommendations based on users' past interactions. By harnessing the power of AWS's scalable infrastructure and machine learning capabilities, we enable businesses to enhance user engagement and drive conversions through tailored content suggestions.

AML Investigation Agent

XenonStack

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The AML Investigation Multi-Agent AI Solution automates anti-money laundering investigations using AWS-native agentic AI. Built on Amazon EKS, it streamlines evidence collection, transaction reconstruction, and network analysis. The platform generates SAR/STR-ready narratives with audit-ready traceability, ensuring compliance. Integrated with Amazon Neptune, Bedrock, and Aurora PostgreSQL, it improves efficiency, reduces manual effort, and enhances risk management while scaling AML operations seamlessly.

AutoAdvisor Agent

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Auto Advisor Agent is an AWS-native, AI-powered solution that helps customers navigate car buying and leasing decisions with clarity and confidence. It provides decision support across vehicle selection, pricing, financing, leasing, and trade-ins, while transparently explaining assumptions and risks. Built on AWS with scalable AI agents and Amazon Bedrock, the solution delivers personalized, explainable, and auditable guidance. Automotive marketplaces, OEMs, dealers, and leasing providers can reduce customer friction, build trust, and improve conversion without disrupting existing systems.

Automated Loan Documentation Agent

XenonStack

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The Loan Processing Automation Multi-Agent AI Solution streamlines and accelerates loan application workflows by automating key tasks such as data validation, underwriting assessment, compliance checks, fraud detection, and audit-ready reporting. Built on Amazon Managed EKS and LangGraph-based orchestration, it integrates seamlessly with Loan Management Systems (LMS) and external verification sources. Accessible through Slack and Microsoft Teams, it enhances team collaboration while ensuring operational visibility and governance. This AI-driven platform reduces manual effort, speeds up loan processing, and ensures compliance and traceability, helping financial institutions enhance decision-making and efficiency while lowering operational costs.

Autonomous Data Catalog & Access Governance Agent

XenonStack

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Automate data catalog governance, access approvals, and sensitive data controls

Autonomous Data Pipeline Orchestration for Banking

XenonStack

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Autonomous banking data pipeline management with SLA enforcement and recovery

Autonomous Incident Detection & Triage for Banking

XenonStack

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Autonomous incident detection and triage for banking with governed remediation and full audit trace.

Autonomous Incident Detection & Triage Platform for Banking

XenonStack

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The Autonomous Incident Detection & Triage Platform enables real-time identification, prioritization, and remediation of incidents across banking systems using AWS-native agentic AI. Built on ElixirClaw (Agentic OS), it detects transaction processing anomalies, auto-triages incidents by severity, and executes remediation workflows with governed control. The platform enforces human-in-the-loop gates for critical production incidents while maintaining full policy traceability. It transforms fragmented alerts into structured, automated incident response, reducing mean time to resolution, improving system reliability, and ensuring audit-ready operations across complex banking environments.

Autonomous Reconciliation & Period-Close Agent

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Agentic reconciliation and period-close automation with governed financial controls

Autonomous SOC & Threat Response for Banking

XenonStack

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The Autonomous SOC & Threat Response for Banking platform enables real-time threat detection and governed response orchestration across banking security operations. Built on ElixirClaw (Agentic OS) and deployed on AWS-native infrastructure including Amazon EKS, Amazon MSK, AWS Lambda, and Amazon CloudWatch, the platform continuously monitors banking environments to detect security threats, suspicious activity, and operational anomalies before they impact business operations and customer trust. The platform automates threat triage, containment workflows, and escalation processes while enforcing mandatory human approval for account suspension, network isolation, and regulatory notification actions.

Bank Statement Reconciliation Agent

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AI-Powered Bank Statement Reconciliation on AWS is a cloud-native, agent-based solution that automates and modernizes financial reconciliation for enterprises. Built entirely on AWS, it continuously reconciles bank statements with ERP and accounting systems using intelligent matching, AI-driven explanations, and audit-ready controls. Powered by Amazon EKS and Amazon Bedrock, the solution reduces manual effort, accelerates financial close cycles, improves accuracy, and provides full traceability through a conversational Ask AI interface—delivering secure, scalable, and compliant reconciliation at enterprise scale

Centralized Metadata Governance

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The solution provides a cloud-native, scalable platform for Metadata Management, Data Quality Monitoring, and Governance, built on Amazon EKS. Leveraging tools like Open Metadata, Unity Catalog, Apache Ranger and Custom Data Quality Solution, it ensures end-to-end visibility, trust, and compliance across enterprise data