Suppliers
United States
Sightline Systems
Overview
SUPPLIER
MANAGED
Sightline SystemsBetter, Faster, Stronger |
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United States | |
2006 | |
Private | |
< $10m | |
11 - 50 | |
Open website |
IoT Snapshot
Technology Stack
Similar Suppliers
Number of Similar Suppliers5
Sight Machine
Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple. |
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Algo Engines
Algo Engines helps provide operating intelligence for the met masts, wind turbines, solar plants and other IoT systems. They have developed cloud-based SaaS platform for Internet of Things (IoT) Analystics. The other solutions are based on SCADA systems, sensors and Smart Meters. |
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DataFactZ
DataFactZ is a Data Analytics company focused on enabling data-driven transformation. DataFactZ supports many leading data and analytics platforms and has solid partnerships with many tech providers. They combine several Data Science techniques from statistics, Machine Learning, deep learning, decision science, cognitive science and business intelligence, offering solutions such as data management, predective analytics and data engineering to businesses. |
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Unsupervised
Unsupervised is an AI-based that finds hidden insights in complex data. It built the first AI-based on unsupervised learning that automatically discovers the most important patterns in data without requiring human guidance or supervision.Unsupervised analyzed unstructured and structured datasets to arrive at insights “without ignoring the long tail.” The company automates Data Science processes including preparation and prioritization, making predictions on data in industries spanning transportation, supply chain, ecommerce, and sales and marketing.According to Unsupervised, its AI can identify statistically significant patterns that highlight the differences across subgroups within the data. Using a technique called unsupervised learning or self-supervised learning, Unsupervised’s systems can generate labels from data by exposing the relationships between the data’s parts. |
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Connectedthinks
Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business.Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection. Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google. Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc, |