Sapience Labs
Sapience Labs provides a persistent knowledge layer for AI assistants, enabling continual learning across sessions and models like Claude, ChatGPT, and Cursor. The system captures typed, signed knowledge objects with provenance and supersession tracking, grounding answers in the user's own notes. It also offers optional cross-mind connections that introduce users to people working on complementary problems, with attribution maintained for all shared knowledge.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI assistants operate with no persistent memory across sessions, forcing users to re-explain context and losing accumulated knowledge between conversations. Current approaches to agent memory fall into two categories—in-context retrieval or in-weights training—both of which forget structure, provenance, and which facts superseded others, preventing knowledge from compounding over time.
Solution
Sapience provides continual learning at the system level, creating a persistent knowledge layer that lives across all major AI assistants including Claude, ChatGPT, Cursor, Codex, and Claude Code. The system captures typed, signed knowledge objects with supersession edges that record what replaced what at write time, ensuring the AI always accesses current information rather than stale records. Every fact carries provenance and is owned by its creator, with knowledge consolidating and synthesizing while users are away. When users choose, knowledge can connect across minds, enabling collective wisdom while maintaining attribution and credit. The system grounds its answers in the user's personal notes, lighting the specific sources it used in each response. It works on any model without fine-tuning or weight changes.
Target Audience
Primary users are professionals and teams who work extensively across multiple AI assistants and need persistent, owned knowledge that compounds across sessions—including researchers, engineers, analysts, and knowledge workers managing complex, evolving information domains. The company also targets scientists and research teams for its collaborative superintelligence features.
Features
- Continual learning layer that persists across Claude, ChatGPT, Cursor, Codex, and Claude Code sessions
- Typed, signed knowledge objects with provenance tracking on every fact
- Supersession edges recorded at write time, preventing stale-value retrieval
- Automatic consolidation and synthesis of knowledge while the user is away
- Optional cross-mind connections with attribution, enabling shared knowledge with credit to creators
- Answer grounding that references and displays the specific notes and sources used
- Memory types modeled on the brain: episodic, semantic, and procedural, with retrieval-strength-based fading
- Benchmark-validated performance: 100% accuracy on current-state probes versus 60% for naive similarity retrieval (p<0.0001); 93% knowledge preservation across sessions versus 13% for standard AI compression