Introducing Andy: Your Context-Aware AI Recruiter – making candidate calls for you

How Andy Works

Andy comes pre-loaded with the context of job descriptions and candidate information. This means Andy understands the nuances of the job role and can engage candidates in meaningful conversations.

Gone are the days of robotic-sounding chatbots. Andy communicates with candidates in a natural, human-like manner, making the screening process seamless and engaging.

During the call, Andy extracts vital information such as candidate interest level, primary skills, location preferences, desired role, current and expected compensation, and interview availability. No need for manual note-taking; Andy handles it all!

Andy leverages open-source language models (LLMs) that are fine-tuned on chat-specific data by our expert team. This ensures that Andy stays up-to-date with the latest conversational trends and can adapt to various scenarios effortlessly.


Automatic Call to Candidates

Andy can initiate calls to candidates automatically without human intervention. This feature significantly enhances recruitment efficiency by automating the initial stages of candidate engagement.

Human-like Voice

Andy uses advanced speech synthesis to produce a voice that sounds natural and human-like. This improves the candidate experience by providing a more personal and relatable interaction.

Context-Based Response

Andy generates responses based on the context of the conversation, ensuring relevance and coherence. This enhances communication quality by maintaining a logical flow in conversations.

Understands Conversation History

Andy keeps track of conversation history to provide informed and consistent responses throughout the recruitment process. This ensures continuity in communication and improves candidate experience.

Automatic Call Summarizer with CSV Export

After each call, Andy summarizes the conversation and can export the summary to a CSV file. This facilitates easy documentation and analysis of candidate interactions, helping recruiters to review and act on conversations efficiently.

Andy - Call Summarization Engine

We have a call summarization module that automatically generates structured summaries from call transcripts. Using our own model, trained on our data and fine-tuned with over a billion parameters, our system extracts concise and organized summaries.

Call Transcript

Andy: Hello, this is Andy from [Company Name]. I'm calling about the [Job Title] position you applied for. Do you have a few minutes to chat?

Candidate: Yes, I do.

Andy: Great! First, are you still interested in the [Job Title] position?

Candidate: Yes, I am very interested.

Andy: Wonderful. Can you tell me about your primary skills?

Candidate: Sure. I have extensive experience in JavaScript, React, and Node.js.

Andy: Excellent. And where are you currently located?

Candidate: I'm based in New York, NY.

Andy Call Summarizer

Call Attended Expected CTC Current CTC Primary Skills Location
Yes $120,000 $100,000 JavaScript, React New York, NY
No $130,000 $110,000 Python, Django San Francisco, CA
Yes $115,000 $105,000 Java, Spring Austin, TX
Yes $125,000 $115,000 Go, Kubernetes Seattle, WA