About Context-AI
Edge computing
Context AI develops digital operating system to realize use-cases for artificial intelligence powering responsive enterprise applications by augmenting the cloud with high performance edge computing. Edge computing enables Block-chains and Distributed ledgers for security and data sharing
Context
Our system facilitate AI on the best available enterprise application and IoT platforms today. We enable smart application for large scale IOT deployments using intelligent systems. Smart cities and industries benefit from use cases that go beyond dashboards and simple predictive analytics. To solve problems for Automation using data, We use advanced methods and data transformation to build context. The context enables data sharing and predictive analysis. Security is never an after-thought.
Customers
IoT device manufacturers and solution providers that build applications for industries and Smart Cities are our customers. Growth is based on the penetration of IoT applications. We enable intelligence and let our customers concentrate on building usecases for the future.
Solutions
Our solution enables simplicity with avoidance of out of domain tasks. The IoT device manufacturer focus on developing insights in the data generated. This avoids them from the complexities of implementing solutions to handle and transport the data, and machine learning and modeling environment. We provide a modular solution that enables interoperability and trust. Common problems due to vendor-lock-in and service providers closing shops are avoided with interoperability.
Our Solutions
Context generation
Our system facilitate AI on the best available enterprise application and IoT platforms today. We enable smart application for large scale IOT deployments using intelligent systems. Smart cities and industries benefit from use cases that go beyond dashboards and simple predictive analytics. To solve problems for Automation using data, We use advanced methods and data transformation to build context. The context enables data sharing and predictive analysis.
Edge gateway
Context AI develops digital operating system to realize use-cases for artificial intelligence powering responsive enterprise applications by augmenting the cloud with high performance edge computing. Edge computing enables Block-chains and Distributed ledgers for security and data sharing.
Our Team
ANUP PATIL – FOUNDER
Anup has over 18 years of experience and holds a Masters degree in Computer Science and Engineering. He has developed solutions in the areas of migration to cloud for large scale telecom platforms. Data processing and storage for cloud platforms, e-business (B2B) and system intelligence. In India, he co-founded a company in the early 2000s dealing with B2B advertisements, solutions for marketing intelligence and . He has been actively pursuing research in computing technology and developing solutions in industrial products and EU research projects since 2002.
Our Partners
THE FUTURE OF AI AND DEEP LEARNING
Inception nurtures dedicated and exceptional startups who are revolutionizing industries with advances in AI and data science. This virtual accelerator program helps startups during critical stages of product development, prototyping, and deployment.
tech-BOX – Enterprise-wide computing
The aim of tech-BOX is to develop, manufacture, procure, market and support the most comprehensive range of scaleable, state-of-the-art and proven I.T & Communication Products, Services & Solutions for Enterprise-wide computing that are required by our esteemed customers.
TECH-CITY – “Sophistication in Simplicity”
The aim of Tech-City is to simplify processes, with increased accuracy and compliance, with real-time information that facilitates more informed decisions which speeds the workflow. Utilizing state of the art, our solutions automate manufacturing execution, warehouse management, inventory tracking and reporting, inventory/supply management, sales interaction with ordering systems, equipment tracking and maintenance, and other processes.
From the BLog
Real-time applications for IoT with edge computing
IoT applications Sensors generate data, applications consume this data and build value. The data consumers are implemented as algorithms using a data driven approach or by implementing rules using logical statements. Rule based approach will give way to data driven approach. For data driven approach mathematical models are built and trained from the collected historical […]
CONTACT CONTEXT-AI
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