Datastory
Datastory is an AI analytics and reporting platform that connects tools like GA4, Google Ads, Shopify, Search Console, Facebook Ads, Instagram, and TikTok, then uses GPT‑4 to turn that data into clear, daily insights. It automatically analyzes performance, detects trends and anomalies, and sends plain‑language summaries and alerts into WhatsApp, Slack, email, and web so teams can see what changed, why it changed, and what to do next without building dashboards or manual reports.
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AWS IoT Analytics
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.
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SensorCloud
SensorCloud is a unique sensor data storage, visualization and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis. SensorCloud's core features include FastGraph, MathEngine®, LiveConnect, and the OpenData API. SensorCloud allows you to easily create dashboards to visualize all of your data. Dashboards can be as simple as a single Timeseries Graph widget, or advanced with Radial Gauges, Text Charts, Linear Gauges, FFTs, Statistics, etc. Since SensorCloud allows you to upload as much data as you want, and LORD's sensors can sample at very high rates, it was important to be able to quickly visualize massive amounts of data. We struggled to find any application that could handle even a few gigabytes of data, so we started from the ground up with our own unique algorithm.
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Concentio
Predictive and prescriptive analysis of data received from various IoT data sources, including sensor, device, equipment or network enabling the users to take actions in real time on probable anomalies detected. Concentio® IoT Doctor can ingest data from numerous IoT data sources and alert the user of bad incoming data so that the inherent problem is fixed the data is not further used for descriptive, predictive or prescriptive analytics. Concentio® Production Line Fault Prediction performs the AI-based predictive analysis of the production line components using the IoT Data, videos, images, etc. Concentio® Optimal Asset Management analyzes the data coming in from the network of assets that provide utility services enabling the user to ensure timely maintenance of the network. Reduced capital expenditures by driving asset replacement decisions.
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