Fundamental
Category: AI in Analytics & BI
A pioneering AI platform centered on NEXUS, the industry’s first Large Tabular Model (LTM) designed to automate complex forecasting and predictive intelligence for structured enterprise data. Fundamental was founded in 2024. The company is led by Jeremy Fraenkel. Based in San Francisco, USA. Team size: 11-50. Total funding raised: $285.0M. Latest round: Series A. Key investors include ["Oak HC/FT","Valor Equity Partners","Battery Ventures","Salesforce Ventures","Hetz Ventures"].
- Founded
- 2024
- Headquarters
- San Francisco, USA
- Team size
- 11-50
- Total funding
- $285.0M
Value proposition
Unlocks the latent value in massive structured datasets by providing a 'third pillar' of AI—specialized for tables—that automates forecasting and decision-making with higher accuracy than general-purpose LLMs.
Products and solutions
["NEXUS Large Tabular Model (Core Foundation Model)","Enterprise Predictive Intelligence Suite","Automated Financial Forecasting Engine","Structured Data Analytics Pipeline"]
Unique value
Unlike LLMs (text) or computer vision (images), Fundamental focuses exclusively on 'Large Tabular Models' (LTM), treating structured spreadsheet and database data as a primary modality for generative and predictive AI.
Target customer
Fortune 100 enterprises, large financial institutions, and data-intensive organizations requiring high-precision predictive modeling.
Industries served
["Financial Services","Retail & E-commerce","Supply Chain & Logistics","Healthcare","Enterprise Technology"]
Technology advantage
Proprietary architecture capable of processing billions of data points within tables to identify patterns invisible to traditional statistical methods; built by a core team from Google DeepMind, OpenAI, and Meta.
How they differentiate
Unlike traditional AutoML or general-purpose LLMs, Fundamental utilizes a proprietary 'Large Tabular Model' (LTM) architecture called NEXUS. This treats structured data as a primary generative modality, allowing for higher precision in forecasting and pattern recognition without the 'hallucinations' or tokenization limits of text-based models.
Main competitors
["DataRobot","Abacus.ai","Ikigai Labs"]
Key partnerships
["Oak HC/FT (Strategic Lead Investor)","Salesforce Ventures","Fortune 100 Early Adopter Design Partners","Major Cloud Data Warehouse Providers"]
Notable customers
["Fortune 100 Financial Institutions","Global Retail Leaders","Supply Chain & Logistics Enterprises"]
Major milestones
["Emerged from stealth in February 2026 with a $255M Series A","Launched NEXUS, the industry's first Large Tabular Model (LTM)","Assembled a technical team with alumni from Google DeepMind, OpenAI, and Meta","Secured seven-figure contracts with Fortune 100 clients prior to public launch"]
Growth metrics
Achieved a $1.2B+ valuation and seven-figure ARR within 18 months of founding.
Market positioning
High-end enterprise AI foundation model provider, positioning tabular data as the 'third pillar' of AI alongside text and vision.
Geographic focus
Global (HQ in San Francisco), with a primary focus on Fortune 100 enterprises in North America and Europe.
Patents and IP
Proprietary Large Tabular Model (LTM) architecture; specific public patent filings not disclosed as of February 2026.
About Jeremy Fraenkel
Jeremy Fraenkel is the Co-founder and CEO of Fundamental. He was previously the Co-founder and Chief Product Officer of Arkifi, a generative AI startup for financial workflows. He holds a Master of Engineering (M.Eng.) in Computer Science and Machine Learning from the University of California, Berkeley, and a Bachelor's degree in Economics from Johns Hopkins University. His professional background includes experience in investment banking and business development at firms such as AmeriVet Securities and Oppenheimer & Co.
Official website: https://fundamental.tech/