SecondBrain
Organizational intelligence platform. Unifies your company's entire knowledge and makes it accessible to every employee. Knowledge-graph-first architecture that only routes to LLMs when confidence is low. Self-hosted, Swiss data centers, 100% private.
Next.js · Python · Neo4j · TEE · TypeScript · LLM
2024-present
Organizations drown in unstructured knowledge spread across databases, divisions, and countries.
LLM-first approaches are expensive, slow, and leak data to third parties.
Employees waste hours asking 'Dave in accounting' instead of finding answers instantly.
SecondBrain unifies all company knowledge into a single intelligence layer.
Every query hits the knowledge graph first — it only routes to an LLM when its own confidence is low, and even then with full context.
The result: faster answers, lower cost, zero data exposure.
Self-hosted in TEE enclaves with Swiss data centers.
Unified Knowledge
Every employee gets access to everything the company knows. No silos. One source of truth across every database, division, and country.
Active Intelligence
Research, drafting, analysis — SecondBrain catches mistakes before they happen and surfaces insights you didn't know to ask for. Not a search engine, an active partner.
100% Private
Self-hosted in Trusted Execution Environments. Swiss data centers. Your data never leaves your infrastructure. Not a policy — an architecture.
Knowledge-First Architecture
Every query hits the knowledge graph first. Only routes to LLM when confidence is low — faster answers, lower cost, zero data exposure.
Industry Solutions
Built for Legal (precedent search), Medical (patient context), Software (decision history), and Field Service (instant manual lookup).
Multi-Source Sync
Indexes Slack, Confluence, Google Drive, email, and custom APIs in real-time with continuous knowledge graph updates.
Maintaining graph consistency during concurrent writes from multiple data sources across global divisions
Calibrating confidence thresholds that balance cost savings with answer quality across different industry verticals
TEE performance overhead for graph traversal operations while maintaining sub-second response times
Building industry-specific knowledge models for Legal, Medical, Software, and Field Service use cases