Entity detection
Welcome to Didascal
Here's a roundup of what's new in our platform.
Didascal is built around three core capabilities:
1. Conversational Intelligence
Chat with integrated search, background reasoning, and context memory — so every conversation gets smarter over time. Start chating
2. AI Research Agents
Autonomous agents that continuously search the web for information relevant to your topics, delivering insights. Launch AI agent
3. Entity Detection
Automatic identification of key objects — places, events, companies, and more — extracted from everything your agents collect. Define entities
Below you'll find a brief introduction to the first of these modules.
Object Detection
Didascal structures your accumulated knowledge through object detection based on custom definitions. You can search for events, companies, phenomena, or locations — and track the popularity of selected objects in Twitter comments.
Custom Object Definitions
You can create new object definitions from scratch. Each object consists of a description and a set of fields. Selected fields can carry a special status:
- Identifier — used to deduplicate objects across sources
- Descriptive field — grows continuously as new content is added
Didascal automatically attempts to detect information about the same object across multiple sources — for example, events from the same company — and merges them into a single record.
Search, Filter, and Export
The generated object database can be searched, filtered, and exported to a spreadsheet for further analysis.
Automated Daily Detection
Any number of objects can be linked to a given chat. Once linked, object detection runs automatically every day, drawing on knowledge from the selected chats.
Micro-trend Tracking
Individual objects can be flagged for weekly Twitter comment volume tracking. This allows you to detect spikes in interest early — and stay ahead of emerging micro-trends.
