Fundamental
Large Tabular Model (NEXUS) that makes predictions from enterprise structured data in CRMs, ERPs and databases
Highlights
- Hiring13 open roles
- New on EvolcAdded 2026-10-16
- Remote-friendly12 of 13 open roles remote or hybrid
About Fundamental
Fundamental is an AI company building Large Tabular Models, a model category designed for structured data such as spreadsheets, databases, CRMs and ERPs rather than text. Its product, NEXUS, is pre-trained on tabular data and is applied to an enterprise's own data to predict likely outcomes.
The website presents NEXUS for enterprise prediction use cases, with case studies in energy demand and cost forecasting, credit and SMB default risk, customer churn, freight rates, sports audience forecasting and Formula 1 performance. Pricing is not described; the site offers a sales contact. Testimonials are attributed to executives at AWS, SAP and Mitsubishi UFJ Financial Group, and news items mention partnerships with AEG and VAST Data.
The company lists four hubs: San Francisco (headquarters, engineering and go-to-market), Barcelona (research), Tel Aviv (engineering) and Singapore (enterprise AI). The careers page lists 23 open roles across engineering, research, commercial and marketing, including ML researchers, MLOps engineers and forward-deployed positions. The founding year and funding amounts are not stated on the website.
Product: NEXUS, a Large Tabular Model for enterprise predictions on structured business data.
Open jobs (13)
People Experience Program Manager
New on EvolcRemote-friendlyEvaluations Team Lead
New on EvolcRemote-friendlyML Researcher (remote)
New on EvolcRemote-friendlyMLOps Engineer
New on EvolcRemote-friendlyMLOps Team Lead
New on EvolcRemote-friendlyData Scientist - Extensions
New on EvolcRemote-friendlyBackend Engineer - Extensions
New on EvolcRemote-friendlyApplied AI Engineer
New on EvolcRemote-friendlyModel Serving Engineer
New on EvolcRemote-friendlyDevOps Team Lead
New on EvolcRemote-friendly
Tech stack
- AWS
- Framer
- LinkedIn Insight