Institutional financial professionals deserve a better experience when analyzing streaming data and real time events. Aiera has created that better experience.
Book a demo with our teamAiera was founded in 2017 by Ken Sena and Bryan Healey, when the two collaborated on a project to ingest a universe of corporate commentary and data to derive trading signals using AI and NLP technology. Today, the Aiera platform is used by top financial institutions across the globe, not to surface signals, but to power their entire equity research workflow across market-moving events.
The most accurate and comprehensive solution to distill streaming events and real time data into effective insights, with flexible delivery methods for any firm.
Powerful and intuitive interface providing real time access and insights to the market-moving events that matter most. Simply press play on any event to listen live, follow real time speech-to-text transcription, search across transcripts, track price movement, and analyze topical trends over time.
Aiera's universe of investor event data, delivered via API to power your firm's quant strategies. These programmatic feeds deliver live event transcription, historical and forward-looking event calendar data, extracted topics and sentiment, summaries, a corporate activity audit trail, and much more.
Aiera's live event tooling and full functionality, seamlessly integrated into your firm's internal system or RMS. Experience live and published events, real time transcription, interactive audio controls, and Aiera's full event calendar - Natively embedded into your environment with just a few lines of code.
Implement personalization features, allowing users to customize their dashboard, layout, and settings based on their preferences.
Offer integrations with CRM systems, email marketing tools, payment gateways, or other relevant business software to streamline operations and improve productivity for users.
Build a scalable architecture that can handle a growing user base and increasing data volume without compromising performance.