Artificial Intelligence
Machine Learning
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Building a machine learning solution is a complex process. It is a mix of data structures, model training, model integration and architecture. We engage in end-to-end delivery of a machine learning solutions that are tailored to bring product features to life.
Our approach:
- Submission of a hypothesis
- Scope and feasibility of the project with defined Delivery of a Proof of Concept
- Algorithm development with regular touchpoints
- Final delivery and deployment
Smart Customer Insights
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- Customer data management
- Customer segmentation
- Sentiment analysis
- Customer churn prediction
- Intelligent assistants and chatbots
- Recommendation engines
Technologies and Frameworks
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![](img/logos/azure-ml.png)
![](img/logos/docker.png)
![](img/logos/google-cloud-platform.png)
![](img/logos/OpenNN.png)
![](img/logos/h2oai.png)
![](img/logos/keras.png)
![](img/logos/mxnet.png)
![](img/logos/opennms.png)
![](img/logos/Pytorch.png)
![](img/logos/Scikit_learn.png)
![](img/logos/tensorflow.png)
![](img/logos/theano.png)
![](img/logos/XGBoost.png)
Our Value Proposition
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Faster Time-to-Market
Continuous improvement in productivity and quality of delivery with faster turn around and quick time-to-market.
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Industry Standard
State of the Art Infrastructure equipped with powerful servers, high speed connectivity and EDA/Hardware/Software Tools
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Proven Track Record
Successfully delivering IPs, Subsystems, SoCs, ASICs, for more than 200 projects to 50+ customers globally.
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Requirement Driven Approach
Unique functionality in end-use applications and solutions giving our customers a competitive edge.
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Diligent Execution
Experienced, extremely talented, disciplined and motivated team of engineers, program and project management professionals.
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Industry Domain Knowledge
Knowledge and technology expertise: Laser sharp focus on verification, emulation, RISC-V based designs, automotive software and AI/ML.