Neugent AI provides autonomous AI agents—including chatbots, voice assistants, and workflow bots—that connect directly to a company's existing data repositories and SaaS applications. Leveraging large‑language models with secure on‑premise connectors, the platform delivers real‑time, data‑driven responses and automates cross‑system actions through a low‑code orchestration layer and unified monitoring dashboard.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often rely on manual, siloed processes and static bots that cannot adapt to changing data, leading to guesswork, operational inefficiency, and delayed decision making. Fragmented tools and rigid automation increase repetitive workload and limit scalability.
Solution
Neugent AI delivers autonomous AI agents—chatbots, voice assistants, and workflow bots—that connect directly to a client’s existing data repositories and SaaS applications. By leveraging large‑language models with secure on‑premise data connectors, the agents generate real‑time, data‑driven responses and trigger actions without human intervention. The platform’s dynamic context engine adjusts behavior as underlying data changes, eliminating the need for static scripts. Integrated APIs and a low‑code orchestration layer enable end‑to‑end workflow automation across ERP, CRM, and ticketing systems. Results are presented through a unified monitoring dashboard, giving teams reliable intelligence to accelerate decisions while reducing repetitive labor.
Target Audience
Primary customers are mid‑size to large enterprises—and growth‑stage SMBs—that need to automate customer support, internal operations, and data‑driven decision workflows across multiple business systems.
Features
- LLM‑powered conversational agents that query proprietary databases via secure connectors, ensuring answers are always based on the latest internal data
- Real‑time voice assistants with speech‑to‑text, intent classification, and multi‑channel routing for inbound customer calls
- Workflow automation bots that orchestrate cross‑system actions (e.g., ticket creation, order updates) using RPA‑style task execution
- Dynamic context management that continuously re‑evaluates data streams to adapt agent behavior without redeployment
- Low‑code SDK and drag‑and‑drop orchestration UI for rapid agent provisioning and integration with ERP, CRM, and custom APIs
- Enterprise‑grade security: role‑based access control, audit logging, end‑to‑end encryption, and compliance‑ready data handling
- Centralized monitoring dashboard with KPI visualizations, performance metrics, and anomaly alerts for each deployed agent
- Extensible REST/GraphQL API allowing developers to embed agent capabilities into existing applications or portals