Every quarter, hundreds of earnings calls run in the same few days. Each transcript is long, full of jargon, and dense with the details that move a portfolio. By the time an analyst has read the quarter's calls, the market has already priced in the news. The value of an earnings call is measured in hours, and manual reading cannot keep that pace.
AI extraction changes the math. A custom AI system reads every transcript the analyst already tracks, pulls the figures, the guidance, and the sentiment shifts, and files them with the underlying numbers attached. The analyst gets structured insights in the time it took to read one call. Building a natural language processing system like this from scratch takes months of development and fine-tuning. Shakudo deploys and customizes it in days.
Shakudo deploys a custom AI system that extracts insights from earnings call transcripts at the speed of a quarter. The system interprets complex financial jargon and nuanced statements, flags the KPIs and forward-looking statements that matter, and structures the findings for analysis. Manual analysis time falls sharply, the depth of insight rises, and the team can react swiftly to market-moving information before the quarter's data is stale. The result is better-informed investment decisions, reduced exposure to missed signals, and improved portfolio performance. The analyst spends the hours previously given to transcript reading on strategy and judgment. A system that takes a data team months to build is live in days.
The AI runs in the firm's own environment, so the research data, theses, and transcripts never leave it. That keeps the firm's proprietary analysis where it belongs. The system processes transcripts on schedule or in real time during a live call, indexes every insight, and loads the results into the analyst's existing tools. New models and data sources plug in as they emerge, so the extraction keeps pace with the market. The firm can point the system at more companies, more quarters of history, or a new metric set without rework. The AI stays fully owned and controlled from model to memory.
The system runs on a stack the quant and data teams already know. Llama 3 provides the language understanding that interprets complex financial jargon and nuanced statements. Dify and LlamaIndex work together to build the custom AI application that extracts and indexes the relevant insights. DBT transforms the extracted data into structured, actionable intelligence. Metabase visualizes the trends and patterns across quarters and companies, and Redis provides fast data retrieval for real-time analysis during live earnings calls.
Investment analysts, equity research teams, and quant researchers at asset managers, hedge funds, and corporate strategy teams that cover many companies and need to stay current across the entire earnings season. The system fits a desk that tracks a hundred names and reads every call the names give, and it gives each analyst a structured feed of the quarter's figures, guidance, and sentiment shifts, ready to work from before the next call starts.
The system processes a full transcript in minutes and files the figures, guidance, and sentiment shifts while the quarter is still fresh. Redis keeps the retrieval fast enough to run analysis during the live call, so the team reacts while the numbers are still moving.
Llama 3 interprets the complex financial language of the transcript, including jargon, hedged statements, and forward-looking statements. The AI pulls the specific figure behind a vague phrase and attaches the underlying number to every extracted insight, so the analyst always sees the source.
Yes. Dify and LlamaIndex build the extraction around the questions the firm already asks, so the AI pulls the KPIs, segments, and signals that matter to the strategy. New questions and new models plug in as the firm's focus shifts, and the extraction stays in the firm's own environment the whole time.
For earnings analysis, that means a quarter of transcripts that used to take a week now takes an evening. Book a demo and see AI earnings call extraction on the calls the firm already tracks.