Model providers
Strong models need to be discovered.
A great model still needs a clear, credible path into a developer's evaluation.
The neutral discovery layer for Tabular Foundation Models
Find the right foundation model for your tables.
Discover, test, and compare leading Tabular Foundation Models on your own data through one unified workflow.
Built in Berlin by engineers with direct TFM experience.
/ compareComparison
3 candidates ready to review
ModelRelative fitAccess
Candidate 01Strongest fit
91%
Trial available
Candidate 02Fastest run
87%
Open weights
Candidate 03Balanced
84%
API access
nexrow compare customer_churn.csvcompleteOne installNeutral across providersBuilt around your data
The adoption gap
Powerful models. Fragmented evaluation.
Every provider comes with a different setup, interface, documentation, benchmark, and access path. The technology moves fast; the evaluation experience has not caught up.
Evaluation friction
Different setupDocumentation varies by providerSeparate access pathsIncomparable resultsData teams
Curiosity should become a confident choice.
Developers need a fair way to compare models before setup fatigue kills the evaluation.
nexrow removes the fragmented middle so strong models and the teams evaluating them can meet in one neutral workflow.
The discovery library
One place to move from curiosity to a confident choice.
nexrow gives data teams a consistent way to understand, evaluate, and compare leading Tabular Foundation Models on the data that matters to them.
Clear documentation
Understand a model's fit, inputs, limits, and integration before you invest time.
Independent comparisons
Review candidates through one consistent lens instead of separate provider scorecards.
Unified model access
Move between supported models through one library and one repeatable evaluation flow.
Easy trials
Test promising models before a longer integration, wherever a trial is available.
Neutral by design
The model should win on fit, not on marketing reach.
A shared evaluation surface makes it easier to understand each model on its own merits, using consistent context and your own dataset at the center.
How it works
From your table to a shortlist. One repeatable flow.
- 01
Connect your data
Start with the tabular classification or regression task you actually need to solve.
- 02
Choose candidates
Select promising TFMs without rebuilding a new evaluation setup for every provider.
- 03
Run and review
See results in a consistent view, together with the context needed to interpret them.
- 04
Compare and decide
Shortlist the model that best fits your data, constraints, and production workflow.
1
→install nexrow2
→connect data3
→compare candidates4
decide with evidenceBuilt for the ecosystem
Better discovery for both sides of the evaluation.
01Primary
For data teams
Compare models on the data that actually matters: yours.
- Discover leading Tabular Foundation Models
- Evaluate candidates in one consistent workflow
- Reach a shortlist with clearer evidence
02Ecosystem
For model providers
Meet developers at the moment they are evaluating TFMs.
- Be discoverable in a focused TFM library
- Present your model with consistent context
- Take part in a neutral evaluation experience
Built from practical experience
Foundation model experience. Built into nexrow.
nexrow is informed by practical experience evaluating the latest TFMs and RFMs on diverse, real world production data, fine tuning models for maximum performance, and running extensive evaluations and benchmarks across models and datasets.
ExperienceIncludes work with enterprise production data at SAP in Palo Alto
Model engineeringTFM and RFM evaluation, fine tuning, and benchmarks
Hasso Plattner InstituteIT Systems Engineering
Early access
Be among the first teams to compare TFMs with nexrow.
Tell us what you are evaluating. We are onboarding data teams and model providers for the first version of the discovery library.