Monte

Monte sells post-training and continual-learning infrastructure to AI labs and enterprise AI teams, helping them evaluate models against work tasks, train specialized agents, and improve them using feedback from real workflows.

Sources:trymonte.ai docs.trymonte.ai· Sep 29, 2026

trymonte.ai · updated Oct 6, 2026

RL infrastructure Evals and benchmarks

Add to compareSuggest an edit

Headquarters: San Francisco, United States
Source:ycombinator.com· Sep 29, 2026
Founded: 2025
Source:ycombinator.com· Sep 29, 2026
Headcount: 1-10
Source:ycombinator.com· Sep 29, 2026
Total funding: $500K
Source:linkedin.com· Sep 29, 2026
Latest round: Pre-seed, $500K, October 2025
Source:linkedin.com· Sep 29, 2026

Trust & data

How the vendor protects buyer material, where its data comes from, and where it can run.

Deployment: Vendor-hosted
Source:docs.trymonte.ai· Sep 29, 2026
Data sources: Built from customer data
Source:trymonte.ai· Sep 29, 2026
Quote
Built from customer data: Give the agent memory and route real outcomes back into training, so it gets better at your work the longer it runs.
Stated confidentiality practices: Monte says customers own the resulting proprietary intelligence; no specific confidentiality, access-control, or data-isolation practices are stated.
Source:trymonte.ai· Sep 29, 2026
Not publicly listed: SOC 2, Trust center, Other certifications, Exclusivity

What they sell

Offerings: RL infrastructure Evals and benchmarks
Source:trymonte.ai
Domains: Enterprise workflows
Source:trymonte.ai· Sep 29, 2026
Public samples & benchmarks: τ²-bench retail training/evaluation example
Source:trymonte.ai· Sep 29, 2026
Not publicly listed: Delivery formats, Named customers

Every change to these facts is kept in the public claims log. Record co_71e16b58d59f.