Finding Trustworthy Signals in a Sea of Financial Data

Proud moment for Oxide AI!

We’re super excited to be featured in Meta LLaMA’s latest case studies, which highlights our mission to bring transparency, openness and precision to AI in finance.

At Oxide AI, we believe that true innovation happens out in the open. That’s why we’ve used LLaMA —  no black boxes, no closed-source shortcuts. It’s the only way to build trust and promote human-AI collaboration where it makes most sense.

What this means in practice:

• Open & Transparent: We build using openly available large language models.
• Exact & Fine-Tuned: Precision isn’t optional. Our SLMs/LLMs are fine-tuned to specific domains. Combined with our computational AI, they deliver accurate, trustworthy insights.
• Robust Signal Discovery: In complex financial datasets, our AI surfaces meaningful signals helping you make smarter decisions.

Oxogen isn’t just another AI tool. It’s the result of extensive work to pioneer a culture of open innovation where financial accuracy meets verifiable results.

A big thank you to the teams at Meta & IBM for spotlighting our collaboration!

Check out the case study and don’t forget to grab the full PDF version!