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Every startup runs into the same technical and operational roadblocks. We tackle them head-on with automation, lean systems, and execution that keeps you growing without waste.
Analysts spend countless hours reading articles to extract key points and entity mentions.
Important information about competitors or markets is buried in long reports and easily missed when reading manually.
Unstructured notes make it hard to compare sentiment and insights across entities.
Manual monitoring slows your ability to react to news or opportunities.
Insights end up in different documents or spreadsheets, impeding collaboration.
Tracking multiple companies and sectors across hundreds of articles quickly overwhelms researchers.
The agent ingests PDFs, extracts content, summarizes the article, identifies mentions of tracked entities, analyzes sentiment, and stores both article and entity summaries in a database.
The agent monitors a folder or feed for new PDF articles and triggers processing automatically.
It pulls text from the PDF and cleans it for analysis.
AI condenses the entire article into a concise overview highlighting key themes.
It recognizes companies, sectors, or markets mentioned in the article using entity recognition models.
For each entity, it gauges sentiment—positive, neutral, or negative—and extracts relevant sentences.
Structured summaries and entity insights are saved to your central database, making them searchable and report‑ready.
You upload a list of companies or markets you want to track; the agent uses it for recognition.
It can flag unfamiliar names for your review, which you can add to your tracked list.
Sentiment models are tuned for business language; accuracy improves with feedback.
Yes, you can track entities across diverse sectors by adjusting your tracked list.
Updates occur each time new PDFs are processed; you can also schedule periodic re‑processing.
Data can be exported or accessed via API for integration with dashboards and analytics platforms.
Multilingual entity recognition and sentiment analysis can be configured with appropriate models.
There is no strict limit; processing time increases with document length, but the system scales horizontally.
Yes, you can review and edit summaries or sentiments before they are published to stakeholders.
All processing and storage use encryption and access controls to protect sensitive information.
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