Artificial Intelligence

Simplifying Creation,
deployment and management of AI

Today Artificial Intelligence and Machine Learning are penetrating every aspect of business, from Chatbots to AI driven platforms being harnessed to automate sales processes. From powering Apple’s Siri and Microsoft’s Cortana to Google’s Allo, AI is promising a better future. Skoruz helps businesses build cutting-edge AI solutions that enable them to achieve a first-mover advantage to be a leader.

Our services around AI help you gain high-quality AI capabilities that enables building highly scalable and cost-effective digital products and solutions across automatic speech recognition (ASR), natural language understanding (NLU), visual search and image recognition, text-to-speech (TTS), and machine learning (ML). We partner with a Bay Area company named RazorThink to collaborate, build and deliver!

Machine Learning as a Service (MLaaS)

Deep Learning Algorithms

Our platform provides the latest DL models from research community like CapsNet, Dynamic Co-attention Networks, YOLO, and such to solve your new-gen business problems

Visual Support

Use features such as Groups, Stacks and Model Runners to create and manage large and complex models that are necessary for practical applications.

State-of-the-Art Models

Configurable Auto-ML algorithms gets to the right solution by rapidly performing feature engineering, variable selection, model tuning and model selection.

AI in Insurance Underwriting

Touchless Claims

We have AI automation, the process of ‘touchless’ claims does not require any human intervention. This is done through the automated reporting, capturing, auditing and communication.

NLP and Sentiment Analysis

The technology of natural language processing and sentiment analysis allows for automated and effective communication. This brings in the much desired feature of customized interactions. Innovat

Innovative Technologies

With AI we can rope in customer data and create a profile that targets the customer’s preferences with relevant insurance products. This cuts down on the traditional underwriting process, which is tedious and fairly ineffective.

Connected Planning

Predictive Customer Churn Analytics

At Skoruz we bring together the tools which help organizations discover patterns in data and go beyond knowing what has happened to anticipating what is likely to happen next

Problem/Challenges

Identify customers who are likely to churn by analyzing cross-sectional (demographics, behavioral) and historical transactional data.

Innovation

Automated the process of analysing customer transaction data and derived features with respect to customer behaviour and Provided rationale to the client as to why the customer would churn, based on behavioural traits.

Approach

A multi-layer deep learning network was constructed to analyze the financial transactions and identify the behavioral pattern on historical transactional data. Based on the behavior, the propensity of the customer to churn was estimated using a deep learning network.

Contact us to learn more

Want to see Anaplan in Action? Or looking to develop the solution further?