Arrange is a specialized application of AI agents within the sales and marketing vertical. While general-purpose LLMs can chat, Arrange agents are purpose-built to navigate a specific product interface and follow a pre-defined sales methodology. They operate in the application and workflow layers of the agent stack, focusing on the transition from passive content consumption to active lead qualification.
For the ecosystem, Arrange represents a shift toward agents as front-office staff. Instead of just assisting internal employees in a copilot model, these agents are external-facing, acting as the first point of contact for customers. This requires a higher degree of reliability and control over output, which Arrange manages through its scripting and simulation tools.
The traditional B2B sales funnel is built on a bottleneck: the discovery call. Prospects want to see how a product works before committing to a meeting, while sales teams want to qualify leads before spending time on a live demo. Arrange addresses this friction by deploying AI agents that occupy the space between a marketing site and a human sales representative. These agents are not just chatbots; they are designed to conduct structured product walkthroughs and handle the specific objections that typically require a human rep.
The platform allows teams to define demo experiences through a series of structured scripts. This approach moves beyond the variability of many LLM implementations by giving companies control over the exact flow of a conversation. Users can set up step-by-step logic, defining how the agent responds to specific queries or interest signals. To ensure accuracy, the agent is grounded in a company-specific knowledge base composed of uploaded product documentation, FAQs, and pricing data.
A notable feature of the Arrange workflow is the use of simulations. Before an agent goes live on a website or WhatsApp channel, teams can run simulated conversations using AI-generated buyer personas. This allows for testing how the agent handles various objections or edge-case questions. Once deployed, the agent functions autonomously, identifying qualified prospects based on the conversation and directing them toward a calendar booking.
While many demo automation tools are confined to browser-based embeds, Arrange extends its reach into WhatsApp, Telegram, and voice channels. This multi-channel approach reflects the company's focus on the Indian market, where WhatsApp is a primary medium for business communication. The platform integrates with standard CRM and productivity tools, including Salesforce, HubSpot, Slack, and Notion, ensuring that the data captured by the AI agent flows into existing sales pipelines.
The company currently supports over 200 Indian businesses, ranging from small teams to enterprise-level operations. Their pricing model follows a standard SaaS tiering, starting with a free trial and moving into a Pro tier designed for high-volume lead handling. The Enterprise tier includes white-label options and custom service level agreements, positioning the tool as a component of a professional sales stack.
Arrange competes in a market that includes both scheduling assistants and interactive demo platforms. However, it distinguishes itself from static demo tools by adding a conversational layer. Where traditional tools provide a click-through experience, Arrange provides an interactive dialogue. This distinction is significant because it allows for discovery to happen in real-time. The agent can ask qualifying questions—such as current team size or technical requirements—and adjust the demo path accordingly.
The project was founded by Kartik Yadav and is headquartered in India. By focusing on the autonomous demo as a specific unit of work, Arrange is attempting to solve a high-value problem in the sales process: the reality that most buyers leave a site before understanding the product's value because they do not want to wait for a scheduled call.
An AI agent that runs product demos, handles objections, and books meetings 24/7.
Arrange is hiring.