Magnos AI provides an AI operating system that unifies data from multiple enterprise sources to automatically generate real‑time KPI, P&L, and board‑level reports. The platform’s AI agents continuously reconcile data, update rolling forecasts, and deliver personalized dashboards with actionable insights for finance and operational teams, creating a single source of truth for faster decision making.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often rely on disconnected spreadsheets and siloed systems to generate financial reports, forecasts, and performance dashboards, leading to time‑consuming manual work, data inconsistencies, and delayed decision making.
Solution
Magnos AI offers an AI operating system that centralizes reporting, planning, and analysis across all enterprise data sources. The platform automatically generates board‑ready KPI, P&L, and scenario reports in real time, eliminating manual spreadsheet processes. AI agents continuously reconcile data, update forecasts, and produce personalized dashboards with actionable insights tailored to each functional team. By providing a single source of truth and real‑time, agentic intelligence, Magnos enables faster, data‑backed decisions across the organization.
Target Audience
Primary customers are finance, FP&A, and operational teams in mid‑size to large enterprises that need unified reporting, automated forecasting, and AI‑enhanced decision support.
Features
- Unified data model that ingests and reconciles information from multiple enterprise systems for consistent reporting
- Automated generation of KPI, P&L, and board‑level reports with full auditability and traceability
- Integrated rolling forecasts and scenario planning that update automatically as new data arrives
- AI‑driven personalized dashboards that surface insights and recommendations specific to each user role
- Real‑time agentic intelligence that monitors performance, triggers alerts, and suggests corrective actions
- Single “system of record” for performance tracking, planning, and outcome‑driven execution