Wilson Chan
Founder
Permute
Permute offers a platform that integrates and cleans data from multiple SaaS systems and data warehouses into a single, secure foundation, enabling business users to ask plain‑language questions and receive AI‑generated answers with traceable source receipts. The solution includes custom ontologies, automated financial validation, and enterprise‑grade encryption and access controls to ensure reliable, auditable insights for finance, operations, sales, and strategy teams.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Enterprise Software
Updated 13 days ago
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Product
Problem
Enterprises often have data spread across dozens of disconnected systems, making it difficult for business users to obtain reliable answers quickly. The lack of a unified, trusted data foundation leads to costly manual analysis, AI models that hallucinate, and delayed decision‑making.
Solution
Permute provides a platform that connects, cleans, and unifies data from ERP, CRM, finance, productivity, and other SaaS sources into a single, secure foundation. Users can ask plain‑language questions and receive AI‑generated answers that include traceable receipts, eliminating the need for dedicated analysts. Custom ontologies encode each company’s specific entities and metrics, ensuring AI agents stay grounded in business context and avoid hallucinations. The platform also offers automated financial validation, highlighting discrepancies with full audit trails. All data is encrypted at rest and in transit, with granular access controls and audit‑ready outputs to meet enterprise compliance requirements.
Target Audience
Primary customers are finance, operations, sales, and strategy teams in mid‑size to large enterprises that need self‑service analytics and reliable AI insights without expanding their data engineering staff.
Features
- Integration with 30+ SaaS systems (e.g., Salesforce, NetSuite, QuickBooks, Stripe, Snowflake) and support for existing data warehouses
- Automated data cleaning and unification to create a single trusted data foundation
- Custom business ontologies and models that embed company‑specific logic into AI agents
- Plain‑language query interface that returns answers with source receipts for full traceability
- Financial validation engine that detects and surfaces discrepancies with audit trails
- End‑to‑end encryption, role‑based access controls, and built‑in auditability for compliance