Last April, Tina He asked a deceptively simple question that still echoes when we consider agent math: What happens when AI agents become your primary users? That question opened a clear line of inquiry. If AI agents are the ones clicking buttons, reading documents, and deciding what APIs to call, then a lot of software…
I’ve sat at tables during funding pitches and heard a senior leader ask, “How did you determine that number?” The last answer the senior leader wants to hear is, “I don’t know.” Or worse: “I did the math and got a different answer.” In finance, this is even more dangerous. It’s a regulated industry, and…
AI Math doesn’t have to guess. See how reliable, deterministic calculation unlocks real AI workflows like ROI analysis, what-if modeling, and scenario planning.
Math you can’t audit is math you can’t use—especially in AI workflows. Language models guess; TrueMath proves. When precision, repeatability, and traceability matter, TrueMath turns natural language into deterministic, auditable calculations with full visibility into every step. Don’t settle for probabilistic math. Get results you can explain, repeat, and trust.
In July 2025, Anthropic announced a new enterprise offering: Claude for Financial Services. It’s a natural evolution of where generative AI is heading. Smarter interfaces for domain-specific reasoning, tuned for the complex, regulated world of financial institutions. Banks, asset managers, insurers, and fintechs all have similar goals: interpret a mountain of financial data, reduce manual…
LLMs Are Powerful — But Unreliable for Math Large Language Models (LLMs) have unlocked a new era of productivity: summarizing documents, generating code, writing policy memos, and answering complex questions with ease. But when it comes to mathematical reliability, their probabilistic nature becomes a liability. A new study by IBM Research — LLM Output Drift:…
“LLM math is close enough. And it’s getting better!” I hear this a lot when developers (or investors) talk about LLM-generated calculations. And I get it. If all you need is a quick, “general ballpark” answer, close enough feels fine. Use it, iterate, do the hard math later. Two problems with that: 1. In regulated…
Let’s be clear: the tech is so cool! I ask a question and it gives me an answer using a wealth of knowledge from all over the web. It synthesizes information that would have taken forever to track down, helps me organize random streams of thought, and has helped me write code I never could…