Aevah offers an Enterprise Intelligence Operating System that overlays existing ERP, SaaS and data platforms to provide a single, governed view of margin, cash, growth and risk. The platform integrates data, analytics and automated agents to deliver board‑defensible insights and actionable decisions within 90 days without requiring a rip‑and‑replace migration.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle with fragmented data across ERP, SaaS, and other systems, leading to costly spreadsheet reconciliation, delayed insights, and difficulty governing AI initiatives. This fragmentation prevents leaders from quickly identifying margin leakage, cash exposure, and growth opportunities, resulting in missed board‑level outcomes.
Solution
Aevah provides an Enterprise Intelligence Operating System that overlays existing enterprise systems to create a single, governed intelligence layer. By integrating data, analytics, and automated agents, the platform delivers actionable decisions on margin, cash, growth, and risk within 90 days without requiring a rip‑and‑replace migration. Built‑in policy enforcement, data lineage, and observability ensure that AI models and workflows operate on trusted data, while executive dashboards and decision apps present board‑defensible results. Technical teams retain control through configurable access, audit trails, and hybrid deployment options, enabling safe scaling and continuous governance.
Target Audience
Primary customers are C‑suite leaders (CFOs, CIOs, COOs, CDOs) and their technical teams who need rapid, governed insights across finance, operations, and AI initiatives.
Features
- One‑click overlay of ERP, SaaS, data platforms, and streaming pipelines into a unified intelligence layer
- Governed data foundation with built‑in policy, lineage, and compliance controls
- Prebuilt decision apps for margin analysis, working‑capital visibility, forecasting, and risk monitoring
- AI actors and automation agents that execute workflows and route exceptions in real time
- Operational health monitoring for data quality, model drift, and value realization
- Explainable outputs and audit trails to support executive accountability and board reporting
- Flexible deployment on cloud or hybrid environments with no rip‑and‑replace required