What you know, Audio.IQ learns. And what it learns, it internalizes — to recognize patterns, discover links, and decode your audio data.
Audio.IQ can decipher industry jargon, regional dialects and more. Using proprietary algorithms and language models, it can be customized to suit your company’s audio data analytics needs.
Audio.IQ captures a data stream of audio and text overlaid with rich meta data. This allows for flexible, accurate searching and the ability to run predictive analytics on tons of audio data.
Unlike other static platforms, our dedicated team of industry professionals analyzes data and constantly refines the Audio.IQ system, which means you always get the right data analytics.
Audio discovery demands have skyrocketed in recent years. Unfortunately, when it comes to reviewing and analyzing audio data for litigation, regulatory requests, and internal investigations, companies face a dearth of options. Current audio discovery tools are expensive, limited in flexibility, and too dependent on inconsistent phonetic-based text rendering.
Audio.IQ’s dual rendering of audio and data, as well as its language, behavioral, and predictive modelling capabilities, make it the perfect tool for efficient and affordable audio discovery. Perform audio redaction on the fly. Analyze audio from different languages and dialects. Run predictive analytics across audio data. Visualize trends and dynamics in a meaningful way. Do something different.
Proactive Monitoring &
Business Function Analytics
Dodd-Frank, MiFID2: In today’s increasingly complex regulatory environment, organizations need to focus more than ever on monitoring, understanding, and proactively assessing their business practices for compliance issues and risks. The key to doing this lies in being able to quickly and efficiently analyze audio data.
With Audio.IQ, companies can identify real-time behavior that goes against regulatory statutes and internal governing principles—behavior that could result in future large-scale litigation and regulatory issues. There’s no use waiting for significant risk exposure events to emerge – proactively seek them out before they become boardroom headaches.
Companies need to demonstrate customer focus and compliant selling practices, robust root cause analysis of sales and complaints, and proper systems and controls around the remuneration of sales staff. With Audio.IQ, companies can conduct extensive root cause analysis of potential misconduct in their selling practices. The result is a robust feedback mechanism in which lessons learned through audio data analysis are absorbed into the sales process and improvements are embedded.
Look for aggressive selling and mismatches between verbal information and system entries. Make sure you’re disclosing terms and conditions. Watch out for customer uncertainty. With Audio.IQ, audio data analytics replaces guesswork.
With Audio.IQ, companies have the ability to really understand what their data is communicating to them. Are you listening?
Leverage analytic models across parallel audio and text streams.
Build customized language and behavioral models.
Extract and analyze audio data at a rate approaching real-time.
Unlock encrypted files through built-in decryption services.
Grow into the future on highly scalable system architecture.
Capture, search and analyze all available meta data.
We’ll show you how Audio.IQ can revolutionize your audio data.