AI as a Service (AIaaS)
Leverage the game-changing advantages of pre-built models, low-code tools, on-demand infrastructure, and one-click deployments.
AI is now in “As a Service” model. Just implement and pay-as-you-go.
AIaaS has transformed expensive and time-consuming AI implementations into fully managed subscription-based models.
The combination of SaaS + AI – AIaaS – has helped bring AI to the mainstream with minimal investment. Cloud providers like AWS, Azure, GCP, IBM, and others have launched API-based purpose-built AI portfolios to solve real-world challenges. Our AI engineers implement and customize these production-ready services with the combination of open-source AI frameworks and libraries. We enable your organization to implement computer vision, speech, machine learning, natural language, chatbot and automation applications at a fraction of the cost of complete in-house development.
OUR AI as a Service Methodology
OUr AI As a Service Offerings
Cloud providers offer an assortment of cognitive computing APIs that allow developers to add AI into greenfield and brownfield applications. Our AI integration experts can quickly enable specific AI solutions of your choice in ML, NLP, and Computer Vision developing them from scratch.
ML Frameworks mitigate model and infrastructure concerns such as data-preprocessing, pre-built algorithms unavailability, lengthy training and deployment cycles, and inflexible compute power. We allow you to choose the proper framework and customize it to accelerate the model lifecycle.
Bot frameworks provide advanced functionalities to build highly engaging custom chatbots. We develop chatbots that use pre-built speech recognition and natural language processing algorithms to learn from human conversations and imitate the user pattern while providing answers.
Here are our thoughts on the latest in technology, and some compelling stories of our shared success.
AWS Sagemaker based Computer Vision Solution for a Manufacturer
Client is required to submit the old physical devices for the new inventory fulfillment re...
- 80% efforts reduced in data annotation & labeling
- 65% time saved in ML Modelling
- 54% lower total cost of ownership
- One-click deployment to the cloud