x

    1Platform 2.0 now built on the Databricks Data Intelligence Platform

    • LinkedIn
    • Twitter
    • Copy
    • |
    • Shares 0
    • Reads 167
    Author
    • SudhaData & BI Addict
      When you theorize before data - Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
    Published: 01-October-2025
    Featured
    • Databricks
    • Data Engineering

    What’s new with 1Platform?

    We’re taking ‘Data to outcomes, simplified’ to the next level by implementing 1Platform; the breakthrough unified data + decision intelligence platform integrating AI agents, robust ETL, and business-centric apps; now directly on Databricks. Why Databricks? In the world of multi-cloud complexity, Databricks is the only unifying data platform making your data assessable from any source. We make it easier!

    Build any pipeline directly into Databricks Whether you are ingesting data from legacy pipe tools or Lakeflow, you can cut pipeline creation and management time by 50% though ease of standardized drag and drop interface.

    Databricks Sales Ingestion Catalog

    Preview and edit generated code

    Remove the cost and complexity of manually created pipelines with standardized, optimized production-ready PySpark code developed through best practices

    Databricks Pipeline Script Sales Performance Data Transformation

    Agentic Insights enabled

    Agenthood AI, built on the Data Intelligence Platform and Agent Bricks promotes agent creation, management and orchestration through its drag and drop functionality speeding use

    Agenthood AI Process

    Use case-based agents that can take action

    Our persona centric use case-based agents with HITL and autonomous functions to help with decision making and taking actions quickly allowing you to build industry specific data models faster, experiment with ML easier, and deploy productivity enhancing agents in a fraction of the time of manual methods

    Transfer Request Confirmation Pop-up Image

    What 1Platform is all about:

    Data Solutions Layer

    Data Nexus: Intuitive drag and drop based ETL platform built on top of Lakeflow, where data from ERP, SaaS, and business platforms can be ingested and transformed with minimal code— to get deployment-ready PySpark code to integrate with Databricks pipelines in minutes.

    MDM 360: Consolidate, deduplicate, and enrich business-critical data (product, vendor, geo, taxonomies) using AI and pre-built decision logic, ensuring a golden record across all sources for reliable analytics.

    Decision Solutions Intelligence

    ML Orion: Proprietary machine learning library seamlessly enriches operational data, adding context, predictive flags, and optimizations directly atop the Databricks Mosaic.

    Agenthood AI: Easily build, deploy, and monitor your own AI agents using Databricks Agent Bricks and beyond—automate complex analysis and next-best actions, orchestrate business workflows, and unify experiences for business users and technical teams.

    Insights Portal & P.AI: Instead of relying on multiple dashboards for insights; users get simple, natural language insights, contextual recommendations, and agent-driven narratives instead of fragmented, complicated charts.

    Modular Business Apps: Pre-built agentic capable solutions like Profit Pulse for RGM and Workforce 360 for HR analytics combine agents, analytics, scenario modeling, and workflow automation within a single, governed environment.

    Service – We provide companies the industry centric resources, accelerators and technology to migrate.  We offer domain specific use case implementation in Retail, CPG, HLS, MFG and Private Equity.

    Product – For “Do-It-Yourself” enterprises, our product is modular by nature, which means you can choose what fits you. Like Data Nexus, an excellent data engineering tool focused cost reduction, governance and understanding lineage. Or Agenthood AI for action-centric agents built on top of your clean data.

    About Author

     Databricks Data Intelligence Platform
    Sudha

    Data & BI Addict

    When you theorize before data - Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.

    Generally Talks About

    • Databricks
    • Data Engineering

    Related Blog