My name is Akash, co-founder and CEO of Bellum.ai. Our mission is to help companies build reliable AI systems in production. In this talk, I’ll share insights from working with hundreds of companies using AI, highlighting what works, what doesn’t, and where AI development is headed.
The journey to AI innovation
Early experiences with AI
AI has always been on the horizon, but my moment of realization came about four to five years ago, at the beginning of COVID, when I first experimented with GPT-3’s API. It wasn’t perfect—prone to generating random, inaccurate responses—but it demonstrated a capability never seen before: auto-completing sentences in a meaningful way.
At that time, I was working in recruiting software, leveraging AI for tasks like job description generation and email classification. Our AI-powered job description generator went viral, demonstrating the potential for AI-driven automation.
However, implementing these models in production came with significant challenges—prompt engineering, evaluation, and pipeline collaboration were all difficult.
The breakthrough with ChatGPT
When ChatGPT launched in November 2022, it was clear that AI was going mainstream. The challenges we faced with implementing AI in production—reliability, evaluation, and collaboration—became widespread across industries.
Recognizing this, my co-founders and I started Bellum.ai to help businesses effectively leverage large language models (LLMs) and build robust AI systems.
Additionally, my experience at McKinsey provided insight into AI governance and the evolution of AI technologies. Witnessing the rise of GPT models and their growing impact across industries reaffirmed the need for structured AI deployment frameworks.
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