Vaani Developer Platform provides tools for building, running, and improving multilingual voice agents and AI phone calls.
What the product does and how it is positioned
Vaani Developer Platform is presented as a voice AI platform covering agent creation, call execution, and conversation improvement.
Its documented features include a plain-language agent builder, multilingual voice behavior, caller memories, tool connections, and call-screening support.
Source-supported ways to use the product
The official customer story presents Vaani for automated first contact and qualifying founders before an expert callback.
The company describes teams using Vaani to guide students and connect with customers.
The documented workflow, where available
Create an agent with templates, knowledge, tools, or Teacher AI's plain-language building workflow.
Configure conversational behavior such as small talk, turn-taking, language switching, and realistic voices.
Connect tools and prepare the agent to launch calls.
Run voice agents in AI phone conversations with callers.
Refine agents through conversation learning, prompt changes, and retained call context.
Teacher AI is described as a guided builder that starts from a plain-language description of who the agent should call, what it should say, and what counts as success.
The builder can ask about missing languages, objections, qualifying criteria, and handoffs, then assemble the prompt, voice, language mix, and tools. Changes are shown as a diff for approval before they are saved.
Memories retains past calls with a caller and can share relevant context with another agent. The documented example uses filters to select a defined number of prior calls and topics.
The resulting context is used to help an agent continue a conversation without asking the caller to repeat information already retained from earlier calls.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Vaani Developer Platform is presented as a voice AI platform for building agents, running calls, and improving conversations.
The official product description says agents can automatically switch to a caller's language and dialect during a conversation.
Teacher AI starts with a plain-language description, asks clarifying questions, and assembles the prompt, voice, language mix, and tools.
Memories retains past calls, supports context sharing between agents, and lets users filter which previous calls should inform the current conversation.
The documented call-screening feature answers screening prompts, keeps the call connected after acceptance, shares caller context, and greets the customer again.
