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    Industrial IoT Data Platform
    Manufacturing / Industrial IoT Data Platform

    Industrial IoT Data Platform

    We engineer the unified data backbone that every smart factory initiative depends on — bridging OT and IT, normalizing decades of PLC and SCADA data, and giving every team a single, query-friendly source of truth.

    5TB/day
    Sustained ingestion across production deployments
    <2s
    Median analytical query latency
    1 platform
    For operations, quality, maintenance, and engineering

    Trusted by global innovators

    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Industry Overview

    Industrial IoT Data Platform: Engineered End-to-End

    Every smart factory initiative — predictive maintenance, MES, quality analytics, energy management — needs the same thing: clean, accessible, contextualized factory data. We build the industrial data platform once, and every application team builds on top of it instead of creating yet another siloed data pipeline.

    Industry Challenges

    What Stops Most Teams From Solving This Today

    Common friction points we hear from manufacturing teams scoping this kind of platform.

    • OT/IT Divide: PLC and SCADA data live in historians that IT and data teams can't reach without specialized skills.

    • Data Silos per Initiative: Each smart factory project builds its own data pipeline — duplicating effort and creating inconsistencies.

    • Context Poverty: Raw tag values without asset context, production state, and quality metadata are nearly useless for analytics.

    • Scaling Cost: Naive lifts to cloud warehouses balloon cost when industrial time-series volumes hit production scale.

    Our Approach

    Our Engineering Approach

    We engineer for the operational reality — not the demo.

    OT-Native Edge Connectors

    Direct, performant integration with PLCs, SCADA, historians, and MES — without disrupting the OT network.

    Contextualized Data Model

    Raw tags enriched with asset hierarchy, production context, and quality metadata for immediate analytical value.

    Multi-Workload Lakehouse

    One platform that serves real-time dashboards, ML training, quality analytics, and long-term archival.

    Capabilities

    Capabilities

    Production-grade features the platform ships with from day one.

    OT Connectors

    OPC-UA, Modbus, EtherNet/IP, S7, and historian (OSIsoft PI, Wonderware) integrations out of the box.

    Asset Data Model

    ISA-95-inspired hierarchy linking tags to assets, lines, cells, and products.

    Edge Processing

    Filtering, downsampling, and feature extraction at the plant edge to control upstream bandwidth.

    Time-Series Optimization

    Columnar storage layouts and indexes tuned for industrial time-series query patterns.

    Self-Service Analytics

    Connect Tableau, Power BI, Grafana, or Jupyter to the same governed data layer.

    Streaming & Batch

    Real-time event streams and batch ETL coexist with consistent semantics.

    Data Catalog & Lineage

    Searchable catalog of every tag, asset, and derived metric with column-level lineage.

    Access Controls

    Row, column, and tag-based access aligned to your Active Directory or IAM.

    Cost Observability

    Per-team and per-workload cost attribution with proactive optimization alerts.

    How It Works

    Reference Architecture

    How data and decisions flow end-to-end.

    OT Edge

    Plant-side connectors pull from PLCs, SCADA, historians, and MES via secure, read-only interfaces.

    1

    Edge Gateway

    Normalization, filtering, and buffering at the plant — resilient to WAN outages.

    2

    Streaming Backbone

    Kafka pipelines carry contextualized events to the lakehouse with schema enforcement.

    3

    Lakehouse Layers

    Bronze (raw), Silver (cleaned/joined), Gold (business-ready) tables on open formats.

    4

    Semantic Layer

    dbt models and metric definitions for consistent KPIs across BI tools.

    5

    Governance

    Catalog, lineage, access controls, and cost observability across the stack.

    6
    Engineering Stack

    Technology Stack

    A pragmatic stack chosen for reliability, speed, and ease of operation.

    OT Integration

    OPC-UAModbusEtherNet/IPOSIsoft PIMQTT

    Lakehouse

    Apache IcebergDelta LakeTrinoSparkDuckDB

    Streaming

    KafkaKafka ConnectFlinkMaterialize

    Modeling

    dbtCubeSQLMesh

    BI & Notebooks

    GrafanaTableauPower BIJupyter

    Infra

    KubernetesTerraformVaultOpenTelemetry
    Measured Impact

    Measured Impact

    Quantified outcomes from production deployments.

    5TB/day
    Sustained ingestion

    On commodity infrastructure with predictable cost.

    70%
    Faster new analytics projects

    Teams build on governed data instead of new pipelines.

    <2s
    Query latency

    For cross-plant analytical queries.

    40%
    Lower data infrastructure cost

    Versus separate pipelines per initiative.

    Unified Data Platform for a Global Tier 1 Automotive Supplier

    A Tier 1 automotive supplier with 22 plants across four continents had six separate data pipelines feeding six separate smart factory initiatives — each with its own version of the truth. We delivered a unified industrial data platform in nine months.

    Analytics project kickoff time dropped from months to days, cross-plant quality comparisons became possible for the first time, and infrastructure cost fell 40% through consolidation. The platform now serves predictive maintenance, MES analytics, quality, and energy teams from one source.

    Case Study
    Unified Data Platform for a Global Tier 1 Automotive Supplier
    Use Cases

    Where This Earns Its Keep

    Common deployment patterns we see across customers.

    01

    Predictive Maintenance Data

    Centralized, clean sensor data for equipment health models across plants.

    02

    Quality Analytics

    Cross-plant quality comparison with contextualized process and inspection data.

    03

    OEE & Production Analytics

    Consistent OEE calculation methodology across lines, plants, and regions.

    04

    Energy Analytics

    Machine-level energy consumption correlated with production state.

    05

    ML Feature Store

    Governed feature pipelines for any manufacturing ML workload.

    06

    Regulatory & Customer Reporting

    Traceability and compliance reports from one auditable data source.

    Integrations

    Integrates With Your Existing Stack

    We connect to the systems your teams already know.

    Historian

    OSIsoft PIWonderware / AVEVA

    SCADA

    IgnitionRockwell FactoryTalk

    ERP

    SAP S/4HANA

    Warehouse

    Snowflake

    Analytics

    Databricks

    BI

    Tableau / Power BI

    Compliance-First Development Services Backed by Global Standards

    We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.

    SOC2 logo

    Service Organization Control 2

    Verified controls for security, availability, and confidentiality of enterprise data systems.

    ISO 27001 logo

    Information Security Management

    Adhering to the international gold standard for managing information security risks.

    ISO 9001 logo

    Quality Management Systems

    Ensuring consistent quality in software delivery and operational process optimization.

    Our Edge

    Why Global Leaders Choose Us

    We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.

    Enterprise-Grade Security

    We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.

    High-Performance Scaling

    Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.

    Accelerated Time-to-Market

    Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.

    Embedded AI Integration

    Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.

    Engagement Model

    Engagement Model

    Predictable, structured delivery from kickoff through long-term ownership.

    01

    Discovery & Scoping

    We map the existing systems, constraints, and stakeholders to scope a focused 8–12 week first delivery.

    02

    Architecture & Pilot

    A working slice on a representative environment — proving the data flow end-to-end before scaling.

    03

    Production Engineering

    Hardened services, observability, access controls, and audit logging go live behind your IAM.

    04

    Operate & Iterate

    We stay on as the embedded engineering team — closing tickets, tuning models, and shipping new value.

    Voices of Success

    We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

    Benchmark

    "I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

    Aaron Phelan

    Aaron Phelan

    Founder, Benchmark

    My Lauren

    "Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

    Kim Smith

    Kim Smith

    Founder, My Lauren

    Latimer

    "Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."

    John Pasmore

    John Pasmore

    Founder, Latimer

    Frequently Asked Questions

    No. PI and Wonderware remain excellent OT historians. We mirror their data into the lakehouse read-only for analytics — leaving the OT estate untouched.

    Build your next manufacturing platform with us

    We engineer production-grade manufacturing platforms end-to-end. Talk to us about scoping a focused 8-week pilot.