2024: Our Foundation and Early Successes

• We began our journey by creating AI-powered social media page analysis gifts
• Christmas season of 2023
• Caught the attention of influencers and executives of large brands with millions followers
• Overwhelmingly positive feedback
• Quickly transitioned from gifts to consulting services

Key successes and collaborations:

• Patrick Bet-David
• Tai Lopez
• Alex Mehr
• Justin Waller

Industries we supported:

• Dental
• Cybersecurity
• Electrical Engineering
• Roofing
• Home Improvement

This helped us understand common challenges in AI-driven sales and marketing.

2025: Specialization and Growth

• Focused on specializing on AI appointment setters that called leads
• Months of intensive development
• Created AI callers that outperformed competitors in speed and quality
• Outperformed voice to voice models provided by OpenAI and ElevenLabs

Our approach:

• Rapid response
• Quick adaptation
• High-volume capability
• Results-driven model

Our mission:
Bring the power of AI-driven appointment setting to businesses of all sizes without complex contracts or hidden fees.

2026: The Pivot - Removing Language Barriers

What we’re building:
An app that does live dubbing translation to remove language barriers—better than Google Translate.

Our commitment:
Breaking down communication barriers and connecting people across languages in real-time, making global communication seamless and natural.

Why we’re making this pivot (two fold):

Reason 1: Current AI caller systems are flawed

All AI callers need to do 4 things:

• Detect voice to start transcribing user speech using voice activity detection (VAD) model
• Transcribe user speech
• Do processing on that text using an LLM
• Turn output into spoken speech

The first step is currently flawed:

• After a year of OpenAI realtime model and ElevenLabs caller service
• Both platforms use the same strategy for detecting human speech
• This VAD model is crude and listens only on the customer audio track
• A call is duplex (two people can speak at the same time)
• This crude approach results in AI models either stopping too much or interrupting the user too much
• There is a need for a duplex VAD model and that field is still pretty new

Reason 2: Translation is a bigger market

• Translation is easier to scale
• Rather than AI sales agents starting with voice callers
• Then expanding to email agents
• Then virtual zoom agent
• And maybe robot sales agents