Aiera has closed a strategic funding round with the support of Citigroup, Franklin Templeton, and Fin Venture Capital, and announced a strategic partnership with Helios, a tonal analytics firm.
The ability to pause, rewind, and listen again during live earnings calls was never possible before Aiera, the only live event monitoring & financial search platform covering all available Wall Street events. At the heart of this audio innovation is Aiera’s proprietary event connection workflow, which has paved the way for the largest library of live investor events anywhere in the world.
“Aiera continues to push the envelope in event access and monitoring,” says Margaret King, Franklin Templeton’s VP of Fintech Partnerships and Strategic Investment. “And Franklin Templeton is pleased to support this important area of innovation, along with Aiera’s other investors.”
“Advanced research tooling is mission critical to the success of investment teams and corporate functions,” says Fin Venture Capital’s General Managing Partner and Founder, Logan Allin. “And we are thrilled by Aiera’s success in raising the bar on quality and accessibility across event management and research.”
Tone of voice is nearly 40 per cent of an entire spoken message, per the social psychology and neuroscience literature. Understanding how something is said when one is speaking can be almost as important as the textual content itself. Adding Helios’ tonal sentiment scoring provides valuable context to the many features users of Aiera have already come to expect. Tonal sentiment can be layered onto textually derived topic monitoring, speech-to-text transcription, one-click event access, collaboration and research platform tooling, and much more.
According to Ken Sena, CEO of Aiera, says: “The incorporation of analysis into human interactivity and the subtleties of voice is a natural evolution for Aiera, and it builds on the live audio controls and event access services we currently provide our users.”
Helios CEO Sean Austin, says: “With Aiera, we will be leveraging tonal sentiment at the sentence level to understand when the voice sounds incongruent with the words. This allows scaled outlier detection in the growing universe of Aiera audio.”
