MODE
Overview
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HQ Location
United States
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Year Founded
2014
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Company Type
Private
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Revenue
< $10m
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Employees
< 10
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Website
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Twitter Handle
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Company Description
MODE provides a scalable data infrastructure that collects data from the physical world to help businesses improve their operations. With its sensor gateway solution, MODE can connect a company's sensors and equipment, plus funnel that data into the cloud all within a few days.
IoT Solutions
MODE is a packaged solution for building a cloud business
Most IoT cloud platforms are strictly building blocks that form parts of the final system. With those types of solutions, you need to design and build a substantial amount of custom software. MODE is a fully packaged cloud solution designed to build a service business for your product, and it covers more than just device connectivity. MODE’s solution is ready to go.
Most IoT cloud platforms are strictly building blocks that form parts of the final system. With those types of solutions, you need to design and build a substantial amount of custom software. MODE is a fully packaged cloud solution designed to build a service business for your product, and it covers more than just device connectivity. MODE’s solution is ready to go.
IoT Snapshot
MODE is a provider of Industrial IoT infrastructure as a service (iaas), and platform as a service (paas) technologies, and also active in the healthcare and hospitals, and transportation industries.
Technology Stack
MODE’s Technology Stack maps MODE’s participation in the infrastructure as a service (iaas), and platform as a service (paas) IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Imperfect Foods Centralizes Data Team to Enhance Collaboration and Decision-Making
Imperfect Foods, a grocery delivery service focused on reducing food waste, faced challenges with its data team structure. Initially, the data team operated under the product division, reporting to the CTO. This setup led to a technology-based workflow where the team responded to ticket requests across the organization. While this system organized requests, it distanced the data team from the teams they served. Analysts received requests from different teams weekly, hindering consistency and knowledge building. The data team was perceived more as a help desk servicing tickets rather than partners in analysis.
Case Study
How CircleCI Uses Mode to Fuel Product-Led Growth with Powerful New Metrics
CircleCI faced a challenge in transforming its product analytics and data science team to drive product-led growth. The team needed to build dashboards quickly, discover new metrics, and increase the volume of product insights significantly. The existing process was slow, taking days or weeks to build dashboards, and the team was not recognized for its ability to share data quickly. The company needed a solution that would allow them to run analysis faster, share insights with the product team, and ultimately drive business growth through product insights.
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