Case Studies

    Dataplane Success Stories

    All across the value chain, we love helping companies turn fragmented data into a trusted foundation their teams, systems, and AI can build on. Here are some of their stories.

    Retail · AI Agent Enablement

    AI analytics agent for a national retailer

    A national retailer had piloted an enterprise AI analytics agent for plain-language queries against their data warehouse. But as scope grew, so did the context the agent had to reason over: accuracy slipped, hallucinations crept in, and costs climbed. We migrated their context layer onto Dataplane's ontology and offloaded logic into a custom harness for better observability, reliability, and cost. Accuracy and speed improved dramatically while cost fell — and faster, more trustworthy answers won back engagement.

    Read the full case study
    99%
    Answer accuracy
    22%
    Cheaper, by token usage
    30%
    Faster, end to end
    MetricInjectionRAGOntology
    Accuracy27%80%99%
    Latency32.3s25.3s22.5s
    Tokens in5.2k7.4k4.4k
    Tokens out1,5301,008868
    DB calls11.11.61.5

    Every result traces to the same foundation — a governed semantic layer that makes messy data trustworthy enough to build on.

    Industrial · Data Enrichment

    Product data for ERP modernization

    A global, PE-owned industrial goods manufacturer wanted to move to a new ERP to give customers an Amazon-like ordering experience. But its product data couldn't support it: missing attributes, inconsistent units of measure, and no standardization across tens of thousands of SKUs. Dataplane profiled, standardized, and enriched the catalog with AI, delivering a go-live-ready catalog in four weeks and the governance foundation to keep it clean.

    Read the full case study
    4 wks
    Time to value
    10k+
    SKUs enriched
    100s
    Manual hours avoided
    • Extracted standardized attributes from freeform text
    • Built a product hierarchy through semantic analysis
    • Enriched records from third-party sources
    • Enforced data quality before the system of record

    Find the hidden value in your data with Dataplane

    Tell us what you are trying to solve and we'll show how Dataplane gets you there.