MoBagel provides a no‑code AI Builder that lets enterprise data teams create and deploy agentic AI solutions across marketing, finance, supply‑chain, and manufacturing. The platform unifies disparate data sources and offers three modules—Report AI for real‑time dashboards, Decision AI for data‑driven recommendations, and Action AI for automated workflow execution—enabling faster insight generation, accurate forecasting and automated business actions.
Funding
Funding not disclosed
AAFounders
Product
Problem
Enterprises across marketing, finance, supply chain, and manufacturing struggle with fragmented data sources, slow manual analysis, and disconnected workflows, which impede real‑time decision making, accurate forecasting, and proactive risk management.
Solution
MoBagel offers a no‑code C‑Suites AI Builder that enables data teams to design, deploy, and scale agentic AI solutions without extensive engineering effort. The platform combines three core modules—Report AI for real‑time business intelligence dashboards, Decision AI for data‑driven recommendations, and Action AI for automated workflow execution—to transform raw data into end‑to‑end intelligence. By unifying disparate data streams and embedding predictive models directly into business processes, MoBagel’s AI agents automate marketing campaign optimization, supply‑chain forecasting, financial risk detection, and manufacturing maintenance. The result is faster insight generation, higher forecasting accuracy, and measurable impact on key business metrics.
Target Audience
The primary customers are data and analytics teams within mid‑size to large enterprises that need to empower marketing, finance, supply‑chain, and manufacturing functions with automated, AI‑driven insights and actions.
Features
- No‑code visual builder that lets analysts configure AI agents using drag‑and‑drop components, eliminating the need for custom code.
- Report AI module delivers customizable, real‑time BI dashboards with drill‑down capabilities for C‑suite visibility.
- Decision AI engine applies machine‑learning models to generate actionable recommendations (e.g., audience targeting, demand forecasts, cash‑flow projections).
- Action AI layer automates workflow triggers such as campaign launches, inventory adjustments, or maintenance work orders based on model outputs.
- Built‑in data unification engine connects to ERP, CRM, marketing platforms, and IoT sources to break down silos and maintain a single source of truth.
- Pre‑trained domain agents for marketing, supply chain, finance, and manufacturing that include features like creative intelligence, AI audience scoring, churn‑to‑upsell prediction, risk mitigation alerts, and predictive maintenance scheduling.
- Cloud‑native architecture with role‑based access control, audit logging, and API endpoints for seamless integration into existing enterprise systems.
- Scalable execution engine that supports concurrent agents across multiple business units while maintaining low latency inference.