BetterBrain provides a secure AI platform that connects to enterprise data sources—including cloud drives, SaaS apps, databases, and documents—to create a searchable knowledge graph. Users can query the graph and receive context‑aware answers with source citations, while built‑in automation can trigger reports, notifications, or data updates. The solution is SOC 2 Type 2 compliant and deploys via one‑click connectors or API integration.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often store critical information across a fragmented mix of structured databases, cloud storage, SaaS applications, and unstructured documents, making it time‑consuming and error‑prone to locate, verify, and act on relevant data. This lack of unified, traceable insight hampers timely decision‑making and forces teams to rely on manual data extraction or ad‑hoc queries.
Solution
BetterBrain delivers a secure, context‑aware AI platform that ingests data from any source—cloud drives, PDFs, spreadsheets, CRM systems, messaging tools, and enterprise databases—and automatically builds a searchable knowledge graph. When users ask a question, the system retrieves the most relevant fragments, generates a concise answer, and attaches a citation linking back to the original document or record, ensuring transparency and auditability. Built‑in smart automation engines then translate those insights into actionable outputs such as reports, notifications, or data updates, aligning with existing business processes without requiring custom code. The platform is SOC 2 Type 2 compliant, supports real‑time learning to improve answer quality, and can be deployed within days through one‑click connector setup or API integration.
Target Audience
Primary customers are operations, sales, finance, product, and data teams in mid‑size to large enterprises that need unified, auditable insights from heterogeneous data sources and automated workflows to accelerate decision‑making.
Features
- One‑click connectors for Google Drive, Dropbox, Salesforce, Slack, Notion, Affinity, major relational and columnar databases, and BI tools, plus native parsing of PDFs, Excel files, and meeting notes
- Retrieval‑augmented large language model that understands enterprise‑specific terminology and context, delivering answers with built‑in bad‑answer detection and real‑time model refinement
- Automatic citation engine that links every response to its source document or record, providing traceability for compliance and audit trails
- Customizable smart automation workflows that can trigger data updates, generate reports, send notifications, or populate downstream systems based on AI‑derived insights
- SOC 2 Type 2 compliance and end‑to‑end encryption for data at rest and in transit, meeting enterprise security standards
- Intuitive web UI with searchable knowledge base and optional white‑label API for embedding AI capabilities into existing front‑ends
- Rapid onboarding pipeline that provisions the knowledge graph and automation scripts within days, supported by a dedicated AI engineering team