Best Artificial Intelligence Software for Databricks Data Intelligence Platform - Page 4

Compare the Top Artificial Intelligence Software that integrates with Databricks Data Intelligence Platform as of October 2025 - Page 4

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

  • 1
    Unity Catalog

    Unity Catalog

    Databricks

    Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms.
  • 2
    Multimodal

    Multimodal

    Multimodal

    Multimodal builds and manages secure, integrated, and tailored AI automation for complex workflows in financial services. Our enterprise-grade AI agents are trained on company data for greater precision and work together as your digital workforce. Our AI Agents process documents, query databases, power chatbots, make decisions, and generate reports. They automate end-to-end workflows and self-learn to improve over time. Unstructured AI is an Extract, Transform, Load (ETL) layer to process complex, unstructured documents for RAG or AI applications. Document AI is trained on your schema to extract, label, and organize data from loan applications, claims, PDF reports, and more. Conversational AI serves as your in-house chatbot that accesses unstructured internal data to provide customer and employee support. Database AI accesses company databases to answer queries, interpret datasets, and provide actionable insights.
  • 3
    Kosmoy

    Kosmoy

    Kosmoy

    ​Kosmoy Studio is the core engine behind your organization’s AI journey. Designed as a comprehensive toolbox, Kosmoy Studio accelerates your GenAI adoption by offering pre-built solutions and powerful tools that eliminate the need to develop complex AI functionalities from scratch. With Kosmoy, businesses can focus on creating value-driven solutions without reinventing the wheel at every step. Kosmoy Studio provides centralized governance, enabling enterprises to enforce policies and standards across all AI applications. This includes managing approved LLMs, ensuring data integrity, and maintaining compliance with safety policies and regulations. Kosmoy Studio balances agility with centralized control, allowing localized teams to customize GenAI applications while adhering to overarching governance frameworks. Streamline the creation of custom AI applications without needing to code from scratch.
  • 4
    Dell AI-Ready Data Platform
    Purpose-built to run AI anywhere on data everywhere. Our solution unlocks the value of your unstructured data, allowing you to access, prepare, train, fine-tune, and drive AI without any limitations. We’ve joined our industry-leading file and object storage portfolio, including PowerScale, ECS, and ObjectScale, with our PowerEdge server and open, modern data lakehouse approach. This gives you the power to bring AI to your unstructured data, on-premises, at the edge, and in any cloud with the highest performance and infinite scale. Access a full team of trained data scientists and industry experts who will help you implement AI use cases that deliver the most value for your business. Protect, detect, and respond to cyber attackers with hardened software and hardware security and real-time threat detection. Train and fine-tune your AI models using a single point of data access and the highest performance, on-premises, at the edge, and in any cloud.
  • 5
    Lumi AI

    Lumi AI

    Lumi AI

    ​Lumi AI is an enterprise analytics platform that enables users to explore data and extract custom insights through natural language queries, eliminating the need for SQL or Python expertise. It offers self-service analytics, conversational analytics, customizable visualizations, knowledge management, seamless integrations, and robust security features. Lumi AI supports diverse teams, including data analysis, supply chain management, procurement, sales, merchandising, and financial planning, by providing actionable insights tailored to unique business terms and metrics. Its agentic workflows address simple to complex queries, uncover root causes, and facilitate complex analyses, all while interpreting business-specific language. Lumi AI integrates effortlessly with various data sources, ensuring enterprise-grade security by processing data within the client's network and offering advanced user permissions and query controls. ​
  • 6
    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.
  • 7
    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.
  • 8
     XTEL AI

    XTEL AI

    XTEL AI

    XTEL is a commercial execution AI platform built to help companies translate data into actionable strategies and seamlessly carry them out. It features modules like ADAM (Augmented Data Management) to ingest and normalize data; RGM (Revenue Growth Management) to generate insights and strategy across the full company lens; MAX AI for profit and revenue optimization; TPX for trade promotion management (from planning to execution); and REX for retail execution, ensuring coordination across channels, customers, and routes. It is configured for enterprise deployment: modular and scalable architecture with open APIs, compliance with ISO, SOC, GDPR, etc., and built on Azure to support centralized or local models. Its AI and data science layer is purpose-built for the consumer goods domain yet remains configurable, back-tested, and transparent to maintain trust and reliability.
  • 9
    Unravel

    Unravel

    Unravel Data

    Unravel makes data work anywhere: on Azure, AWS, GCP or in your own data center– Optimizing performance, automating troubleshooting and keeping costs in check. Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business. Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end. Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not. Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare.
  • 10
    Continual

    Continual

    Continual

    Build predictive models that never stop improving without complex engineering. Connect to your existing cloud data warehouse and leverage all your data where it already lives. Share features and deploy state-of-the-art ML models with nothing but SQL or dbt or extend with Python. Maintain predictions directly in your data warehouse for easy consumption by your BI and operational tools. Maintain features and predictions directly in your data warehouse without new infrastructure. Build state-of-the-art models that leverage all your data without writing code or pipelines. Unite analytics and AI teams with full extensibility of Continual's declarative AI engine. Govern features, models, and policies with a declarative GitOps workflow as you scale. Accelerate model development with a shared feature store and data-first workflow.
  • 11
    CognitiveScale Cortex AI
    Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives.
  • 12
    WisdomAI

    WisdomAI

    WisdomAI

    WisdomAI is an AI-powered analytics platform designed to provide instant, actionable insights from both structured and unstructured data. With its powerful AI assistant, users can ask questions in plain English and receive answers in seconds, enabling faster decision-making across various industries. The platform integrates seamlessly with BI tools, data warehouses, and other platforms to provide a unified view of data, offering proactive insights and recommendations tailored to users’ goals. WisdomAI's enterprise-grade security and flexible integrations ensure that teams can collaborate effortlessly and make data-driven decisions efficiently.
  • 13
    Labelbox

    Labelbox

    Labelbox

    The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.
  • 14
    CodeSquire

    CodeSquire

    CodeSquire

    Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go.
  • 15
    DataNimbus

    DataNimbus

    DataNimbus

    DataNimbus is an AI-powered platform that streamlines payments and accelerates AI adoption through innovative, cost-efficient solutions. By seamlessly integrating with Databricks components like Spark, Unity Catalog, and ML Ops, DataNimbus enhances scalability, governance, and runtime operations. Its offerings include a visual designer, a marketplace for reusable connectors and machine learning blocks, and agile APIs, all designed to simplify workflows and drive data-driven innovation.