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Extract KPIs, people, companies, and product names from your files - Adding structure to unstructured internal data.
Entities are systematically extracted from your files, and logically categorized based on the surrounding context.
While Topics applies intelligent prioritization and ranking to its outputs, Entity X-Ray delivers a sweeping dataset of all extracted tokens across a wider array of categories.
Instantly surface key themes and notable topics covered across your firm's internal content.
Extracted topics utilize an intelligent overlay to prioritize & surface more niche, relevant themes.
Identify thematic trends as topics ebb and flow over time across your firm's internal research, communications, expert interviews, and files.
Distilling your firm's internal unstructured content and transcripts into intelligent, digestible summaries.
Financially-trained model delivers published-quality outputs, with configurable formats between paragraphs or bulleted.
All summaries are generated with indexed citations of every datapoint used to formulate outputs, allowing firms to audit summary quality themselves, and dig in for more context.
Text-based sentiment scoring (positive/negative), built to understand the subtle nuances in financial terminology.
Sentiment scoring at the segment level (words/tokens), and the overall document.
Segments are broken out by speaker and primary, secondary, and tertiary topics.
Historical scores are used to calculate a delta, in real time, across both speakers and topics.
Precision
Summaries
Financially-trained sentiment analysis understands when "Negative" is Good or Bad in context.
Example Entity Categories: People, Locations, Dates, Times, Percents, Prices, Quantity, Companies
Example Topics: Climate Change, Fiber Optics, Supply Chain, Cloud Computing, Plant-Based, 5G
Summarizing internal transcripts, documents, chat logs, and so much more. Focused and auditable.
Ranked Topics
Entity
X-Ray
Adaptive Sentiment
What Makes Aiera's Ensemble Model Special?
Aiera’s Ensemble Model and AI architecture is flexible and extensible, enabling Aiera to provide the most cutting edge & performant models to firms, especially as the AI landscape continues to evolve.
Essentially, whenever a new innovation occurs in the space, Aiera’s models instantly adopt it, so clients can always expect the latest and greatest AI architecture & technology for themselves.
MODELS - MORE INFO
Financially-Trained
Aiera’s proprietary large language modeling (LLM) is financially-trained and finely-tuned on 250,000+ financial events to produce published-quality outputs.
Auditable
Indexed citations of every datapoint used to formulate outputs, allowing firms to audit summary quality themselves, and dig into each citation for context.
Keep your AI cutting edge, with models tuned for finance
Deploy a financially-trained AI architecture for your firm to unlock insights across all of your own internal content, such as meeting transcripts, files, chat logs, podcasts, and more.
Unlock insights
from your firm's
internal content
With AI models that understand your business
ABOUT
Aiera is the leading event intelligence platform for Wall Street events, providing live event streaming, transcription, search, and more - Across 13,000+ equities and 60,000+ annually.
Aiera has been at the forefront of generative AI and LLM tooling around these events, from summarization to Q&A.
As a result of Aiera's leading (and growing) coverage of event data, the platform's underlying AI architecture and LLM models have demonstrable value for content beyond events.
Aiera's model services were built to give firms access to this finance-focused AI architecture, and apply it to their own internal content.
- Automated AI-powered insights for a firm’s internal content, powered by Aiera's ensemble model
- Aiera's services are flexible and extensible, providing the most cutting edge & performant models
- Aiera's ensemble includes models fine-tuned on 250,000+ capital markets transcripts & data
- All across earnings calls & reports, conference presentations, shareholder meetings, and more
What is it?
