QUAKE designs and manufactures industrial M2M modems and Controllers for advanced asset Tracking, data acquisition, and machine, process and motion control through satellite, cellular, GPS and other emerging technologies. QUAKE is the only manufacturer of network agnostic modems.

C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service. Year founded: 2009

FiveTran offers integrations built and online data analysis services Integrations for data analysts. Their technology is shaped by the real-world needs of data analysts and supports agile analytics, enabling data-backed decisions across organizations. Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. Fivetran fully automated connectors sync data from cloud applications, databases, event logs and more into users' data warehouse. Its integrations are built for analysts who need data centralized but don’t want to spend time maintaining their own pipelines or ETL systems. The company delivers its services via spreadsheet function.

Striim is an end-to-end streaming data integration and operational intelligence platform. The platform specializes in data integration across a wide variety of sources including change data from enterprise databases, log files, message queues, and IoT sensor data. With that difficult piece solved, Striim makes it easy to correlate across streams, detect anomalies, identify and visualize events of interest, and trigger alerts and workflows, all within milliseconds. Year founded: 2012 Revenue: $1 to 10 million (2015)

Grovf is an engineering company aimed to develop hardware and software products to assist Industrial Internet of Things (IIoT) and Big Data problems. Here at Grovf we help our industrial customers to solve IoT generated Big Data storage problems using hardware (FPGA) implementation of DB functionality in order to close the gap between IoT generated data throughput and software database transaction speed, resulting 20x faster transactions and power saving.

The Internet of Things (IoT) and advanced Data Science are rewriting the rules of competition. The advantage goes to organizations that can convert petabytes of freshly arrived and historical data to predictions – more quickly and more accurately than their competitors. Payoffs include better product and service design, promotion, and pricing; optimized supply chains that avoid delays and increase output; reduced churn; higher average revenue per customer; and Predictive Maintenance that avoids downtime for vehicle fleets and manufacturing systems while lowering service costs. To make sense of and act on the unprecedented volume, velocity, and variety of data in real time, companies are applying the sciences of big data, advanced analytics, Machine Learning, and Cloud Computing. Products themselves are being redesigned to accommodate connectivity and low-cost sensors, creating a market opportunity for adaptive systems, a new generation of smart applications, and a renaissance of business process reengineering. The new IT paradigm will reshape the value chain by transforming product design, marketing, manufacturing, and after-sale services. C3 IoT offers a new generation of smart, real-time applications, overcoming the development challenges that have blocked companies from realizing the potential of the Internet of Things. Proven in more than 20 enterprise-scale production environments, the C3 IoT Platform is PaaS for the design, development, deployment, and operation of next-generation IoT applications and business processes.

Fivetran helps analysts replicate data into a cloud warehouse. We make replication effortless Fivetran handles 100% of your pipeline maintenance and setup. - Built for analysts, approved by engineers. - Replicate everything, with zero configuration and schemas designed for analytics. Eliminate engineering busywork while empowering your analysts to prove value. - Five-minute setup. 10 clicks and you’re syncing data into your warehouse. - Ready-to-query data. We prep your data so you can run analytics instantly: - Support for modern cloud warehouses - Built to scale - Next-level enterprise security

The true value derived from the Internet of Things (IoT) is not about the devices, or even the crazy fast communication among connected things. The gold mine resides in the real-time analysis of the data that these devices generate, the “Internet of Analytics.” Striim specializes in integration from a wide variety of data sources – transaction/change data, events, log files, application and IoT sensor data – and real-time correlation across multiple streams. Striim's IoT solution enables add structure, logic and rules to streaming data, define time windows for analysis, detect outliers, visualize events of interest, and trigger alerts and automated workflows – all within milliseconds.

The FPGA - Accelerated Time Series Database is a dedicated hardware for IoT data storage. Smart Sensors data pass directly into FPGA from Ethernet adapter bypassing any type of operating systems and software layers. All data processing takes place under FPGA on fly and streams into SSD for storage. Artificial Intelligence algorithms are used to continuously evaluate interconnections between channels, classify and predict data. Device provides general functionality of software enabled time series database systems while implemented on hardware layer. FPGA’s native parallel feature is heavily used to achieve the data throughput in order of magnitude greater then all available software enabled time series database systems can offer.

Enel, ENGIE, Cisco, Exelon, Endesa, Eversource, Pella, PG&E, U.S. Department of State

Talkdesk, Shopkeep, DonorsChoose, Sharethrough, Managed by Q, Fast Spring, , etc.

Thaumaturgix, HP