WolkAbout
AIrport:
Building Industrial AI
Solutions with Ease.
WolkAbout AIrport is a purpose-built, comprehensive industrial software platform designed to unify siloed operational and informational systems into a cohesive, AI-ready ecosystem.
With robust backend, edge, and frontend capabilities, it becomes the core engine for actionable intelligence, predictive capabilities and other future tech beyond simple automation.
Complete Framework
for Building AI Services.
Vital AI Tools Meet Innovative Data Fabric.
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WolkAbout AIrport streamlines the modernization of legacy systems and accelerates the adoption of AI strategies—empowering businesses to focus on what matters most - outcomes.
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It is a digitalization framework and a full-featured industrial IoT and DataOps platform offering critical features and functionalities for building complex industrial AI solutions.
Structured and Efficient Delivering of AI Solutions.
Architecture follows the Unified Namespace approach for a consistent way to identify, access, and communicate with all devices, data points, and assets across an organization's OT and IT infrastructure.
Store unified data in the Data Lakehouse optimized for AI Agents.
Transform, model and unify data ingested from any enterprise information system using open-source ETL connectors.
Starting with wholly featured industrial IoT data collection from all kinds of Telemetry/OT/Edge devices.
AIrport comes with IAM (Identity Access Management), enhanced with Role-Based Access Control for all users, user groups, and assets.
Through its API framework, AIrport enables independent development and component scaling. It has improved security through centralized authentication, seamless third-party integration and enhanced maintainability.
Neural Data Modeling enables holding static and dynamic feeds in hierarchical, context-sensitive semantic objects, generates synthetic data for AI training and lays the groundwork for predictive capabilities.
Retrieval Augmented Generation (RAG) is a powerful addition to AIrport's industrial data fabric, with the vector store as another data source complementing AIrport's hybrid approach. On top of RAG, AIrport supports the integration of LLM with domain-specific prompting for reasoning and decision-making capabilities.
Support in developing AI solutions includes traditional rule-based expert systems and contemporary AI Agents.
Airport has an open-source frontend layer combining traditional KPI-based dashboard analytics with a chat component for natural language data querying. Off-the-shelf frontend significantly shortens development time for custom AI solutions.
Module: Platform & Tenants.
White Labeling & Multitenancy.
Manage instance configuration and services. Administer licence, billing and upgrade options. Manage Tenants in Multi-tenancy mode. Manage White-Label options per tenant.
Module: Devices & Edge.
Industrial IoT Integration.
It connects any field, floor or industrial asset, such as sensors, gateways, access points or PLCs. Provides device provisioning and configuration control, monitoring, diagnostics, file upload/download, event processing and firmware/software updates.
Module: Unified Data Manager.
Enterprise DataOps.
Performs data integration, unification, normalization and modelling of
diverse data from sources like OT data, enterprise systems, and legacy applications. Models data to follow business logic and processes and organizes assets in hierarchies.
Module: Logic Engine.
Neural Network, ML & AI.
Utilizes neural network to layer industrial time series and enterprise data. Provides a rule-based engine for designing and executing No Code and Low Code expert systems using provided DSL. Manages generation of synthetic data in real-time.
Module: Users & Settings.
Role-Based Access Control.
Administers users and manages fine-grained security policy and authentication methods. Controls read, write, and view access to every asset and analyzes user behaviour and activity. Logs all events.
Module: Visualization Service.
Widget-based Dashboards.
Design KPIs using drag & drop widgets and build various dashboards using real-time data. Create complex reports and analytics tools. Manage mobile push notifications for predictions and anomaly detections.
Deploy AIrport Anywhere.
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Size ranges from small-scale deployments (installing at the Edge devices) to full-scale private or public cloud optimally using a container tech or at least three VMs.
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Automated deployments from AWS and Azure marketplaces are available.
Middleware Or End-To-End.
Employ AIrport as a Missing Layer or to Build AI Solutions.
Organizations can use WolkAbout AIrport in many ways. Starting from assembling robust data infrastructure before building AI solutions or using it as a full-featured industrial IoT platform. If the IoT part is already implemented, employ AIrport as an operating Data Historian, exceptional Data Lakehouse or a platform to implement the Unified Namespace concept. In highly advanced tech enterprises, where data is already ingested, structured and modelled, use AIrport to create RAG and start a GenAI journey!
WolkAbout AIrport stands out by offering an all-in-one industrial AI platform that reduces the complexity and costs associated with service suites like AWS and Azure, which often require complex setups of multitude of services and costly configurations to replicate similar functionality.
Key differentiators include:-
Retrieval-Augmented Generation (RAG): AIrport delivers smarter, context-aware insights for faster, data-driven decisions.
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Flexible Deployment: On-premise, edge, and cloud compatibility ensures scalability, compliance, and low-latency performance.
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Cost Efficiency: Simplifies digital transformation at a competitive price, accelerating adoption without lengthy implementation cycles and with minimal disruption.
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No Vendor Lock-In: An open, modular architecture ensures compatibility with existing systems and supports future expansion.
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Yes, AIrport supports in-house AI model customization.
Businesses can leverage their domain-specific data to fine-tune models for predictive maintenance, anomaly detection, and optimization. Additionally, AIrport integrates with LLMs (Large Language Models) and features Retrieval-Augmented Generation (RAG), enabling businesses to create tailored AI solutions while maintaining full control over model behavior and updates.WolkAbout AIrport’s primary purpose is to bridge the gap between fragmented operational and informational systems, enabling industries to harness their data for smarter, AI-driven decisions.
By unifying data, offering real-time analytics, and supporting advanced AI models, it empowers industries to modernize operations, optimize processes, and unlock actionable insights. Its versatility makes it ideal for diverse use cases such as predictive maintenance, operational efficiency, and compliance monitoring.