Enterprise AI
Done Right.

We transform the way enterprises run their business by widening access to AI, bringing in automation, and thereby accelerating the time to value.

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Market Guide for Multipersona Data Science and Machine Learning Platforms
Market Guide for AI in CSP Customer and Business Operations

HyperSense AI can help you...

Design impactful user-centric AI models

HyperSense AI helps enterprises identify business problems and design appropriate solutions.

Create

Build Explainable AI (XAI) models 40X faster

HyperSense AI enables rapid prototyping of Explainable AI (XAI) models to solve complex business problems.

Ideation

Deploy and monitor the ML models with MLOps

HyperSense AI enables the deployment of complex AI models into production to convert data into insights in real-time.

Operationalize

Discover ideas and continuously innovate

HyperSense AI helps businesses continuously investigate, collaborate, and innovate through industry-leading AI applications.

Innovate

Streamline AI with MLOps

HyperSense AI Model Management is a one-stop solution covering all aspects of ML Operations (MLOps), such as model monitoring, alerts, and recommendations on model retraining to sustain model performance and robustness.

HyperSense AI Advantages

Our philosophy is to democratize, operationalize, and scale AI across the enterprise.

HyperSense AI is designed to accelerate enterprise-wide AI adoption, making AI accessible to everyone in the organization to foster innovation and growth.

No-Code AI for All

Widened AI access to everyone in the organization, regardless of their skillsets.

Elastic and Scalable

Enhanced elasticity and scalability with an ability to deploy on any cloud and on-premises.

Any Data Analytics

Supports hot, warm, and cold structured and unstructured data analytics and reacts in real time.

Fully Composable

Integration with existing tech stack to achieve plug-and-play capabilities and modularity.

AI in Telecom

Telcos are harnessing the power of AI to extract actionable insights to drive better customer experience. Download this eBook that explains the seven amazing ways telcos can leverage AI.

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HyperSense AI Benefits

 
 
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Kick-start your enterprise's AI journey by augmenting business strategies with AI/ML and get higher ROI.

Augment your enterprise with AI/ML and empower business users to adopt AI and data scientists to be more productive.

Eliminate multiple-point solutions and adopt a unified platform to make better decisions.

Quickly prototype AI models to roll out new product and services and improve profitability.

Rapidly test and deploy ML models with an integrated end-to-end ML lifecycle platform to accelerate time-to-market.

Build AI models without writing a single line of code through drag-and-drop capabilities and address the AI skill gap.

Accelerate AI adoption through ready-to-build use case templates through No-Code AI capabilities.

Derive higher value from your data infrastructure investments through a modular and composable platform.

Reduce infrastructure management time, improve efficiency to accelerate data-to-insights.

Enable business users to become Citizen Data Scientists and align AI initiatives to business outcomes.

Streamline AI/ML workflows through state-of-the-art MLOps to improve accuracy of decisions.

Ensure transparency in decision-making and eliminate bias through Explainable AI capabilities.

Leapfrog your digital transformation journey by democratizing AI across the entire data value chain.

Build AI models without writing a single line of code through drag-and-drop capabilities and address the AI skill gap.

Innovate and scale business growth with simplified data discovery and unified access to decision intelligence.

Improve collaboration between multiple data science teams and scale AI experiments quickly and easily.

Derive higher ROI through robust Machine Learning lifecycle management practices using MLOps.

Make transparent, ethical, and responsible business decisions with an extensive AI Trust Framework.

Why HyperSense AI?

no-code
AI models
Reduction in efforts
Mlops
distributed-computing

Awards and Recognition

A testament to our constant innovation in AI

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Latest from our Blog

Adversarial Attacks A detailed review-02

Adversarial attacks: A detailed review – Part 2


Vishal is an experienced Data Scientist with over two years of experience in the field. He holds an M.Tech in Electrical Engineering from IIT Gandhinagar, where he specialized in Deep Learning and presented his research work on the classification of craters with ML using Chandryaan-1 data at IPSC 2020. He has worked on a diverse set of industry problems ranging from computer vision (such as object detection, segmentation, image classification and generation, OCR) to NLP (such as document classification, Named Entity Recognition, and Question-Answering). Currently, he is working as a Data Scientist at Subex AI Labs, where he applies his expertise to various deep learning use cases.
Adversarial Attacks A detailed review

Adversarial attacks: A detailed review


Vishal is an experienced Data Scientist with over two years of experience in the field. He holds an M.Tech in Electrical Engineering from IIT Gandhinagar, where he specialized in Deep Learning and presented his research work on the classification of craters with ML using Chandryaan-1 data at IPSC 2020. He has worked on a diverse set of industry problems ranging from computer vision (such as object detection, segmentation, image classification and generation, OCR) to NLP (such as document classification, Named Entity Recognition, and Question-Answering). Currently, he is working as a Data Scientist at Subex AI Labs, where he applies his expertise to various deep learning use cases.

What Analysts Say

Technologies we work with

HyperSense AI is built ground-up as a cloud-native, microservices-based containerized solution and supports CI/CD with continuous rolling updates. This ensures agility, scalability, and elasticity. It is built on the best and latest technologies and is scalable to cater to the expectations of 5G and digital reality.

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