Blobfish AI is a company that builds conversational voice-AI technology to help businesses, especially sales and customer service teams, automate and scale human-like phone interactions, lead qualification, and contact center training. Pulse 2.0 interviewed Blobfish AI co-founder and CEO Andrew Prosikhin to gain a deeper understanding of the company.
Andrew Prosikhin’s Background
What is Andrew Prosikhin’s background? Prosikhin said:
“Until I was about 20 years old I planned on becoming a theoretical physicist and spent most of my early academic life preparing for that path. During my second year at Cornell, I realized that a career in physics wouldn’t give me the impact I wanted, so I shifted my focus to software engineering. After that, I spent roughly nine years working as a backend and AI engineer across both startups and large companies, including Google.”
“In 2024, I took the leap and started my own company, Blobfish AI, which trains contact center operators using voice AI.”
Formation Of The Company
How did the idea for the company come together? Prosikhin shared:
“I wanted to find an application that not only showcased the voice AI technology but also created lasting value. Training stood out – historically AI that helps people get better at their jobs tends to outperform AI that only aims to replace them. The concept of using voice AI to train contact center operators was like a light bulb moment. The more I dug into it – the more excited I got.”
Favorite Memory
What has been your favorite memory working for the company so far? Prosikhin reflected:
“One of my best memories was closing our first sale with a company that had no prior relationship with us. Selling to people who already know you is validating, but selling to strangers proves your product truly solves a problem and is worth paying for.”
Core Products
What are the company’s core products and features? Prosikhin explained:
“Our primary product is a voice call simulation training platform designed for call center operators. Trainees get to practice conversations with AI-generated customers that sound and feel like real interactions. After each training call, they receive a detailed scorecard that provides feedback and practical recommendations for improvement. Managers log into the platform to track progress and see how operators are improving over time.”
“More recently, we have expanded into offering text-based training as well.”
Challenges Faced
What challenges have Prosikhin and the team face in building the company? Prosikhin acknowledged:
“One of the challenges has been the perception that call centers are on the verge of being completely automated by voice AI. While basic and repetitive requests are increasingly handled this way, the reality is that complex conversations still depend on people. Calls that require judgment, negotiation, or a deeper understanding of context remain firmly in the hands of human operators. For us, this is not a threat but an opportunity. We position our product as a way to make operators stronger in these high-value interactions.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Prosikhin noted:
“When we first started, Blobfish AI was built on a voice-to-text-to-voice pipeline, where speech was transcribed, processed, and then converted back into audio. It was a slow method and often stripped away the emotional nuances that make a conversation feel natural.”
“This winter, we fully transitioned to a direct voice-to-voice model, which boosted both speed and emotional intelligence of the model. This newer approach preserves tone, emotion, and conversational flow, creating a much more realistic training environment. Being among the first to implement this technology gave us an edge.”
Significant Milestones
What have been some of the company’s most significant milestones? Prosikhin cited:
“A few moments stand out as particularly important. Signing our very first customer in August 2024 was huge for us. Launching the voice-to-voice platform later that year was a major step forward technologically. Then, in August 2025, we introduced our text-based training product.”
Customer Success Stories
When asking Prosikhin about customer success stories, he highlighted:
“One strong example comes from our work with Yolla support operators. Before training with us, their text conversation customer satisfaction metric sat at 58 percent. After implementing our voice AI simulations into their training process, they are now at 73 percent with improvements in both hard and soft skills.”
Revenue/Funding
When asking Prosikhin about the company’s funding and revenue details, he revealed:
“At this stage, Blobfish AI is fully bootstrapped, and we are not actively seeking outside funding. In terms of revenue, we are currently in the tens of thousands in ARR. While still modest compared to where we want to be, these numbers prove that there is real demand for our solution. They are a foundation to build on.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing? Prosikhin assessed:
“The total addressable market for AI-powered call center training is still developing, so the estimates shift as the technology matures. Based on the research and data we have gathered, the specific market for call simulation alone is expected to grow into the two to three billion dollar range. Beyond that, there are adjacent markets such as call analytics and text-based training that are of a similar scale. When you combine these categories, you get a sense of the broader opportunity, which is substantial and continues to expand.”
Differentiation From The Competition
What differentiates the company from its competition? Prosikhin affirmed:
“Our differentiation comes from two main areas: the underlying technology and the training methodology. On the technology side, using voice-to-voice AI allows us to deliver conversations that feel much more authentic and natural, with latency so low that operators can train in real time without frustration. On the methodology side, we use holistic training methods and are now adding gamification to improve trainee engagement.”
Future Company Goals
What are some of the future company goals? Prosikhin emphasized:
“Today our focus is on building the best possible call simulation platform. Looking forward, our ambition is much bigger. We want to evolve into a comprehensive training platform that not only runs simulations but also analyzes real customer conversations across voice and text. The goal is to provide operators and managers with a holistic set of recommendations that cover both practice sessions and actual customer interactions.”
Additional Thoughts
Any other topics you would like to discuss? Prosikhin concluded:
“Voice AI represents one of the most transformative opportunities in technology today. Human communication is overwhelmingly voice-driven, and being able to interact naturally with machines through speech opens up a world of possibilities. What once seemed like science fiction is quickly becoming practical reality. The companies that learn how to harness this shift early will be the market leaders of tomorrow.”
