基础赌注：LLM 读不了表格——1.4B 估值、2.55 亿美元投向表格模型

做的是什么生意

Fundamental is a San Francisco AI lab whose model NEXUS — a 'large tabular model' (LTM) — ingests raw enterprise tables and predicts outcomes like demand, churn, fraud and equipment failure, replacing hand-built data-science pipelines with one line of code.

启动资金：$255M total: $30M seed plus $225M Series A led by Oak HC/FT with Valor Equity Partners, Battery Ventures, Salesforce Ventures and Hetz Ventures; angels include Perplexity CEO Aravind Srinivas, Wiz CEO Assaf Rappaport, Brex co-founder Henrique Dubugras and Datadog CEO Olivier Pomel

起因

Founded in October 2024 by DeepMind alumni in San Francisco, Fundamental stayed in stealth while building NEXUS, a large tabular model trained on billions of real-world tabular datasets using Amazon SageMaker HyperPod. It emerged publicly on February 5, 2026 with $255M in funding.

经过

The $30M seed and $225M Series A — led by Oak HC/FT with Valor Equity Partners, Battery Ventures, Salesforce Ventures and Hetz Ventures — priced the company at $1.4B post-money. NEXUS shipped with several seven-figure Fortune 100 contracts in demand forecasting, price prediction and churn, plus a deep AWS partnership where customers buy and deploy the model from their AWS dashboard using existing credits; AWS also supports encrypted deployments of the model inside customer environments.

结果

Still running. As of mid-2026 NEXUS is generally available through AWS Marketplace and fundamental.tech, with a roughly 35-person team scaling compute, enterprise deployments and go-to-market.

可借鉴之处

当热门模型共享一个未经检验的假设——「一种架构适用于所有数据」——突破口就在被忽视的数据模态；一个逆向的架构赌注可以比另一个 LLM 克隆筹集更多资金。