Funding
Funding not disclosed
Founders
Product
Problem
Businesses using CRM systems spend significant time on repetitive data tasks such as deduplication, bulk record updates, sandbox seeding, and report generation, which reduces productivity and delays insight delivery.
Solution
Agentnami offers autonomous AI agents that connect to a company’s CRM via secure API integrations and learn the CRM’s schema through a proprietary embedding process. Users interact with the agents through a conversational chat interface that supports full CRUD operations at scale, allowing natural‑language commands to create, read, update, or delete records in bulk. The agents execute complex workflows—such as data deduplication, sandbox population, and automated reporting—in real time without manual query writing. Results and insights are delivered instantly within the chat or via export, enabling faster decision‑making and freeing staff to focus on higher‑value activities.
Target Audience
Primary customers are mid‑size to large enterprises that rely on CRM platforms for sales, marketing, and customer support and need to automate bulk data operations and generate actionable insights.
Features
- Proprietary embedding engine that automatically maps custom fields, workflows, and data structures of any major CRM (Salesforce, HubSpot, Zoho, Microsoft Dynamics, etc.)
- Chat‑driven full‑CRUD interface for mass record operations using natural language commands
- Autonomous execution of repetitive tasks like deduplication, sandbox seeding, and scheduled report generation
- Real‑time AI‑generated strategic insights and analytics delivered within the conversation flow
- Secure API integration with end‑to‑end encryption, SOC 2 compliance, and optional REST API for custom CRM connections
- 14‑day free trial with access to all features and the ability to upgrade or downgrade plans at any time