ArtifiQ uses its proprietary industry-leading sentiment and analytics engine to uncover your customer’s emotions, feelings and sentiments towards your brand/product. Using hours of recordings, we transcribe and identify key patterns in consumer interactions to ensure that we deliver accurate results, that maximize performance and profitability.

We allow organizations to maximize their customer interactions by collecting data that our Sentiment and Analytics engine can analyse to give you and your customers, the best customer experience.

ARTFIQ’s speech analytics solution:

• Simultaneously processes up to 200 streams of uncompressed audio data.
• Automatically transcribes any type of call recording, including service calls, phone-based market research, or after-call surveys, with the highest degree of accuracy.
• Applies best-in-class, enterprise-grade audio transcription algorithms for consistency and accuracy.
• Uses Natural Language Processing (NLP) and sentiment scoring to capture the literal voice of the customer considering nuances like emotional data, including tone of voice, phrasing and punctuation.

ArtifiQ’s specialization in Internet of Things(IoT), delivers solutions to customers across industries.We enable diverse organization to build and implement an innovative IoT framework, develop IoT strategies and integrate IoT into the extant landscape.

IoT allows enterprises to hyper-connect people, processes and systems, providing endless opportunities.Our IoT solutions enable a constant sharing of information between objects, along with the collation of various data points for meaningful analysis.

The ARTIFIQ Advantage:

• High performing solution that leverages best of the breed partner ecosystem.
• Use of open industry leading standards.
• Flexible architecture that supports various patterns of connectivity, to suit your organization.

Deep learning is a machine learning technique that allows computers to emulate human thinking with mechanized efficiency. Simply put, it allows a computer to emulate human decision making, and combine that with the speed and efficiency of a computer. What you have then, is a software that gives you the best of both worlds. Fun fact! driverless cars, Object recognition, all leverage deep learning.

Some of the examples of how your Organization can benefit from our deep learning expertise are:

Portfolio Management : ARTIFIQ uses Deep Learning for interpreting information, trends, news and compares it with statistics from tons of data sources. This helps in determining the performance of a business decision or an investment to take further actions accordingly

Customer Service : ARTIFIQ makes use of Deep Learning technology for amplifying and extending the reach of big data analytics. Our aim is to improve customer experience by tapping into the power of Deep Learning algorithms for determining the quality of your product, customer segmentation and knowing the right marketing channels that would reach the right customer in a particular area.

Sentiment Analysis : ARTIFIQ uses Deep Learning algorithms to generate customer insights by analyzing social media, news trends, and other data sources. Deep learning algorithms also help in accurately demonstrating how people respond to these trends. We aim at analyzing these myriad human-related factors with Deep Learning for providing our clients with correct and updated insights.

Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modelling, data mining, text analytics, optimization, real-time scoring and machine learning. These tools help organizations discover patterns in data and go beyond knowing what has happened to anticipate what is likely to happen next.

Statistical analysis and visualization: Address the entire analytical process: planning, data collection, analysis, reporting, and deployment

Predictive modelling and data mining: Use powerful model-building, evaluation, and automation capabilities

Decision management and deployment: Activate your analytics with advanced model management and analytic decision management on-prem, on cloud or a hybrid

Big data analytics: Analyze big data to gain predictive insights and build effective business strategies.