Best Artificial Intelligence Software for Redis - Page 2

Compare the Top Artificial Intelligence Software that integrates with Redis as of November 2025 - Page 2

This a list of Artificial Intelligence software that integrates with Redis. Use the filters on the left to add additional filters for products that have integrations with Redis. View the products that work with Redis in the table below.

  • 1
    HoneyHive

    HoneyHive

    HoneyHive

    AI engineering doesn't have to be a black box. Get full visibility with tools for tracing, evaluation, prompt management, and more. HoneyHive is an AI observability and evaluation platform designed to assist teams in building reliable generative AI applications. It offers tools for evaluating, testing, and monitoring AI models, enabling engineers, product managers, and domain experts to collaborate effectively. Measure quality over large test suites to identify improvements and regressions with each iteration. Track usage, feedback, and quality at scale, facilitating the identification of issues and driving continuous improvements. HoneyHive supports integration with various model providers and frameworks, offering flexibility and scalability to meet diverse organizational needs. It is suitable for teams aiming to ensure the quality and performance of their AI agents, providing a unified platform for evaluation, monitoring, and prompt management.
  • 2
    AWS Marketplace
    AWS Marketplace is a curated digital catalog that enables customers to discover, purchase, deploy, and manage third-party software, data products, AI agents, and services directly within the AWS ecosystem. It provides access to thousands of listings across categories like security, machine learning, business applications, and DevOps tools. With flexible pricing models such as pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace simplifies procurement and billing by integrating costs into a single AWS invoice. It also supports rapid deployment with pre-configured software that can be launched on AWS infrastructure. This streamlined approach allows businesses to accelerate innovation, reduce time-to-market, and maintain better control over software usage and costs.
  • 3
    NetWatch.ai

    NetWatch.ai

    NetWatch.ai

    NetWatch.ai offers a comprehensive, AI-driven monitoring and security platform designed to replace fragmented tools with an integrated solution for modern IT environments. The platform is structured around three core product lines, NetWatch OPS, a server and network monitoring solution providing real-time insights, proactive alerts and streamlined resource management; Secure OPS, a hybrid SIEM built for unified security monitoring and compliance across cloud and on-premises infrastructures; and AI OPS, which uses machine learning to predict issues, automate remediation workflows and elevate operational performance. A patented “AI System Administrator” acts as a virtual operator that monitors customer infrastructure, connects via API to existing workflows, and offers complete visibility and automation. For organizations seeking turnkey expertise, NetWatch.ai also delivers Hive OPS SOC, a tiered Security Operations Center as a service with 24/7 monitoring, incident response, and more.
  • 4
    Secuvy AI
    Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data.
  • 5
    Feast

    Feast

    Tecton

    Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution.
  • 6
    Zuro

    Zuro

    Zuro

    Zuro is currently used by enterprises, banks, and government agencies worldwide. We have delivered outstanding results for our clients, contact us for case studies and references. LLM-powered orchestration to demonstrably reduce costs and boost productivity across your organization. Our AI engine is handcrafted for you with your business goals and industry in mind. It outperforms general-purpose public models while remaining cost-efficient and ROI-focused. We build solutions that deliver tangible ROI for your business in weeks and not years. We process unstructured and structured data using tech to create predictive models. We ingest data on the order of terabytes and deploy highly performant models. We go beyond traditional machine learning to surface unexpected insights. We customize solutions to support the nuance of your unique business challenges. We build models that adapt to changing business needs and data distribution shifts.
  • 7
    Refold

    Refold

    Refold AI

    Refold.ai offers enterprise-grade AI integration agents designed to automate complex workflows and manage legacy systems like SAP, Oracle Fusion, and Workday Finance. Their AI agents handle custom logic, unpredictable APIs, and integration challenges so teams can focus on product development instead of manual system work. The platform features memory graphs, real-time adaptation, and auto-fixing workflows that enable effortless scaling and robust integration lifecycle automation. Refold supports cloud and on-premise deployment across AWS, GCP, Azure, and air-gapped environments. Trusted by leading companies, Refold reduces integration bottlenecks, accelerating enterprise sales and cutting total cost of ownership by over 50%. It’s built for solution engineering, professional services, product teams, and AI teams needing seamless, scalable integrations.
  • 8
    Observo AI

    Observo AI

    Observo AI

    ​Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval.
  • 9
    100x

    100x

    100x

    100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary.