Aera provides an AI‑enabled decision platform that connects directly to ERP, data‑warehouse, and cloud‑storage systems to ingest structured and semi‑structured data. It applies machine‑learning models to generate short‑ and long‑term forecasts and prescriptive recommendations, which users can access through a natural‑language interface or embed via APIs, all with enterprise‑grade security and audit controls.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often have fragmented ERP and legacy data sources, making it difficult to generate timely, data‑driven recommendations for operational and strategic decisions. Manual analysis of these datasets is time‑consuming and prone to error, which can erode efficiency and forecasting accuracy.
Solution
Aera delivers an AI‑enabled decision platform that connects directly to existing ERP, data‑warehouse, and cloud‑storage systems. The platform ingests structured and semi‑structured data, applies machine‑learning models to produce short‑ and long‑term forecasts, and generates prescriptive actions aligned with business objectives. Users can query insights through a natural‑language interface or embed recommendations into existing workflows via APIs. Real‑time analytics and automated model retraining keep recommendations current as market conditions and internal metrics evolve. The solution also provides audit trails and role‑based access controls to meet enterprise governance requirements.
Target Audience
The platform targets mid‑size to large enterprises in finance, supply‑chain, manufacturing, and operations that rely on ERP systems and seek to augment decision‑making with AI‑driven insights.
Features
- Pre‑built connectors for SAP, Oracle, Microsoft Dynamics, and common cloud data lakes, enabling seamless data ingestion without ETL code changes
- Automated feature engineering pipeline that normalizes, enriches, and validates incoming data streams
- Predictive forecasting models for demand, inventory, cash flow, and workforce planning, customizable per business unit
- Prescriptive optimization engine that translates forecasts into actionable recommendations (e.g., reorder quantities, pricing adjustments, resource allocation)
- Scenario‑analysis sandbox allowing users to model “what‑if” outcomes and compare KPI impacts instantly
- Conversational analytics UI supporting natural‑language queries and drill‑down visualizations
- Enterprise‑grade security with end‑to‑end encryption, SSO integration, and granular role‑based permissions
- RESTful and GraphQL APIs for embedding insights into ERP dashboards, BI tools, or custom applications