Product
Twelve signals. One model. Complete memory intelligence.
Rabbit handles the entire memory lifecycle for your organization. From understanding what you are asking, to extracting structured facts, to detecting contradictions across months of data, to giving you cited answers grounded in what actually happened.
Every signal runs on the same architecture. No chaining multiple APIs. No sending data to different providers. One model, trained for one purpose, running on infrastructure you control.
The 12 Signals
Everything an organization needs to remember
Each signal is a specialized capability trained into the same model. One API call, one architecture, twelve different ways to process organizational knowledge.
Understand
[INTENT]Classifies natural language queries into precise intents so every question gets the right retrieval strategy. Factual, temporal, synthesis, entity, aggregation, actions, or history.
Extract
[EXTRACT]Pulls people, organizations, decisions, action items, dates, and topics from any text. Meetings, emails, Slack threads, notes. Structured JSON output every time.
Organize
[TRIAGE]Auto-triages incoming information into types (meeting, decision, task, insight) with summaries and tags. The first layer of turning noise into knowledge.
Link
[LINK]Detects relationships between memories across 7 types: follows up, contradicts, supports, expands, references, supersedes, and relates to. Builds the knowledge graph automatically.
Reason
[EXPAND]Multi-hop reasoning across thousands of memories. Chains lookups, resolves references, and connects dots that span different conversations, people, and timeframes.
Compile
[COMPILE]Builds and maintains living knowledge pages for entities and topics. When new information arrives, existing pages update automatically.
Recall
[ANSWER]Conversational answers grounded in your actual data, with numbered source citations. Not hallucinations. Verified facts from your organization's real history.
Ambient
[AMBIENT]Surfaces forgotten commitments, contradictions, and stale information without being asked. Proactive intelligence that catches what humans miss.
Multi-turn
[MULTITURN]Maintains conversation context across follow-up questions. 'Tell me more about that' and 'what about the budget?' work naturally.
Summarize
[SUMMARIZE]Generates concise summaries of long content while preserving every decision, name, and action item. No lossy compression.
Sentiment
[SENTIMENT]Detects emotional tone in organizational communications. Understands whether a meeting was tense, a decision was contentious, or feedback was positive.
Graceful Uncertainty
[DONTKNOW]When the answer is not in the data, Rabbit says so clearly instead of making something up. Trained explicitly to distinguish known from unknown.
How It Works
From scattered information to structured knowledge
One pipeline. No external dependencies. Your data stays inside your infrastructure from input to output.
Raw Input
Meetings, emails, Slack, notes
Rabbit
Extract, classify, link, compile
Knowledge Graph
Entities, relationships, timelines
Instant Recall
Cited answers from real data
Why Rabbit
General-purpose AI vs. memory intelligence
| Capability | Rabbit | General LLMs | RAG Systems |
|---|---|---|---|
| Entity extraction from org data | Specialized, 92% F1 | Generic, lower precision | Not included |
| Relationship detection | 7 link types, automatic | Not available | Not available |
| Contradiction detection | Built-in signal | Not available | Not available |
| Knowledge compilation | Auto-updating pages | Re-derives every query | Re-derives every query |
| On-premise deployment | Full support | API only | Depends on stack |
| Per-token cost | $0 (fixed infra) | $0.15-15 per 1M tokens | Depends on LLM |
| Data sovereignty | Your infrastructure | Third-party servers | Depends on LLM |
Ready to give your organization a memory?
Get API access or talk to us about on-premise deployment.