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Manage contracts, track constraints, and connect fragmented data. Seneschal is a centralized knowledge bank that maintains strict privacy while autonomously researching missing context to saturate your knowledge base.
Independent work means managing your own infrastructure. Without a Chief of Staff, critical connections are lost in the noise.
Managing contracts isn't just about signing. It's about tracking overlapping constraints, deadlines, and multi-party relations that are hard to visualize.
Your "brain" is scattered: a PDF contract here, a Slack message there, an email thread somewhere else. No single source of truth exists.
Traditional search keywords fail to connect private agreements with public knowledge. You miss the "why" and "how" behind your documents.
Most AI assistants use Vector Databases, which only capture similarity (e.g., "Contract" is close to "Agreement").
Seneschal uses a Structured Knowledge Graph. This captures higher-order relationships, allowing efficient traversal. A single "jump" in the graph can connect concepts that are semantically distant but logically related.
Points clustered by word similarity. No clear path from A to B.
Explicit connections. "Client X" → signed → "NDA Y" → expires → "Date Z".
Switch views to see how Structure beats Similarity.
Seneschal doesn't just store data; it actively seeks to complete it. It cycles through detection, research, and ingestion until your knowledge base is saturated.
Algorithm analyzes the graph for missing patterns (e.g., An entity "Acme Corp" exists, but no industry or location data).
Queries public sources (News, Events, Press Releases) to fill the identified gaps.
New data is ingested, creating new nodes. This might reveal new blind spots, restarting the cycle.
Your private documents never leave your local environment. Seneschal intelligently separates what must stay local from what can be augmented by the cloud.
Click a document to classify it.
Pending Documents (Click to Process):