TrueMath is a deterministic math infrastructure platform for software developers. It’s not a calculator. It’s not an AI model. It’s a computation engine that produces auditable, reproducible, exact results inside software workflows, including natural language workflows. Think of it as the math layer that AI needs but doesn’t have. To show what that means in…
Anthropic’s expansion of Claude’s enterprise “Cowork” plugins marks an important inflection point in the evolution of AI systems. Claude is no longer positioned solely as a conversational assistant but as an operational actor capable of interacting directly with tools like Excel, PowerPoint, Google Docs and Sheets, and internal enterprise systems. This signals a broader shift…
The First Shift: Capability Matt Shumer is right. Something big is happening. The acceleration in AI capability is not incremental. It is structural. Tasks that once required teams now require prompts. Work that once demanded weeks of coordination now compresses into hours. Intelligence, at least in its procedural form, is becoming abundant. That transformation will…
When organizations try to operationalize AI without computation governance, the failures follow a pattern. The three failure modes When organizations try to operationalize AI using existing containers for logic, they hit the same three walls: 1. The reproducibility problem Six months ago, your pricing model calculated a specific rate for a specific customer configuration. Now…
AI is reaching production—but the infrastructure isn’t ready. This post explores the spreadsheet problem: why brittle tools like Excel are still holding critical logic, and why deterministic execution layers like TrueMath are becoming essential as AI shifts from predictions to operations.
We get asked a lot by investors, partners, friends, and family: “Won’t the LLMs just figure this out?” It’s a fair question. And since we started working on TrueMath, we’ve seen clear improvements in how language models handle math. They write better code, make fewer obvious mistakes, and in many cases, they sound more correct…
Excel has long been the gold standard for business math. It’s shareable, auditable, and incredibly flexible. A platform that has powered everything from start-up pro formas to billion-dollar valuations. So when Anthropic announced that Claude was coming to Excel, it felt like a natural pairing. Claude’s conversational intelligence inside a spreadsheet environment? That could be…
At the recent ICML 2025 conference, Mark Khoury from Hudson River Trading (HRT) described the firm’s development of foundation-style transformer models trained on decades of market microstructure data. The result is a trillion-token-scale dataset spanning equities, futures, and crypto. Matt Robinson from AI Street, provided some great coverage of the presentation. It’s a huge step…
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…
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.
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