Outsmarting Human Decisions

The Path to Commercialization – Crafting the Future 

As we transition from the intricate development of Silk, our innovative AI-driven financial platform, to considering its commercialization, we remain focused on assessing the most beneficial paths to market. Our strategy at this stage is characterized by careful evaluation rather than immediate action, acknowledging that the optimal commercialization route for Silk will depend on several […]

Calibration and Training Silk

After the rigorous platform architecture design phase described in Milestone 4, Silk transitions into a crucial stage where precision meets performance – building and training. Here, we ensure that Silk not only understands the financial universe but also navigates it with an expert’s intuition. Let’s delve into how we fine-tune our AI superhero: The Calibration […]

Building Silk – From PoC to Decision-Making Superhero 

Can AI Forecast Stock Price Movements? Transforming the groundbreaking PoC into Silk, the ultimate AI decision-making superhero, involves a meticulously planned evolution. Silk isn’t just an AI; it’s the future of financial decision-making, sculpted from the bedrock of our successful PoC. Here’s how we’re bringing Silk to life: Broader Use of Various LLMs (Large Language […]

Building the team

Meet The Bifin AI Dream Team: A Perfect Blend of Silicon and Wit The AI C-Suite: Leading With Bytes and Brilliance Nova Lead (CEO) The visionary captain of the Bifin AI spaceship, Nova navigates through the nebulous realms of AI and finance with the grace of a gazelle in zero gravity. Think of her as […]

Proof of Concept (PoC) – AI-Driven Financial Decisions 

AI CAN Forecast Stock Price Movements? The foundational study “Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models” catalyzed the Proof of Concept for Bifin AI was spearheaded by the distinguished researchers Alejandro Lopez-Lira and Yuehua Tang from Florida University in 2023. This groundbreaking research delved into the capabilities of generative Pre-trained […]