Built in-house using niche technology expertise — solving real research and business problems.
Contextual data mining categorising text as positive, negative or neutral based on underlying consumer emotions.
Statistical model extracting abstract topics from text based on term frequency — optimised for large unstructured datasets.
Identifies offensive text across social media platforms — critical for ORM and content quality management.
Efficient extraction of names, locations, and brands from unstructured contextual data for faster analysis.
NLP-based identification of top 3 high-value terms in a sentence — simplifying manual tagging tasks significantly.
Classifies data into news, opinions, marketing, and spam to understand intent behind text using RNN deep-learning.
Identifies emotion (happy, sad, angry, fearful) from contextual data using RNN deep-learning technology.
Ensure the right respondent mix with built-in quota controls and a full panel management module.
Text and sentiment analysis for effective probing — identifies delight and pain points in real-time.
Deploy via inbuilt chat application or web integration — standalone or embedded in existing platforms.
Role and user-based access — unlimited roles and users with role-based screens and dashboards.
Process-centric workflow design with email notifications, alerts for tasks, and scheduled report publishing.
Teams, departments, and regions collaborate seamlessly — iterative approvals and document version control.
Hierarchical repository with upload, link, version control, and easy retrieval of all tender-specific documents.
Track live project statistics and plan your next move with up-to-the-minute monitoring.
Simple, Unique, CAWI, CATI and more — comprehensive management and real-time tracking.
Apply pre-screeners to target the correct audience from vendors as per specific project requirements.
Directly create and send invoices to clients and panel vendors once a project is complete.
Schedule a demo and see how our proprietary tools can streamline your research and business processes.
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