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VerQen

State in, decision out — open foundation decision models

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Details

External ID
1266986
Source
PH
Company
—
Product
VerQen
Website domain
producthunt.com
Launched
Oct. 2, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Open Source, Developer Tools, Artificial Intelligence

Description

VerQen is a foundation decision model from ZorQelis AI: state in, decision out. Give it a policy, a case and options; it returns a decision with confidence and an escalation flag. Not a prompted LLM - trained from scratch as a decision model. Open weights (Apache 2.0) AND open training data, so the release is checkable. Measured 8.4 ms per decision on an RTX 5060 Ti; $1.81 per million. Quickstart reproduces its worked example (deny_refund, P_correct 0.6656).

Enrichment

Niche
backend infrastructure and database tooling
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
open decision foundation models for developers
Manually corrected
False

Could you build this?

No Training a foundation decision model from scratch with custom architecture, novel pre-training datasets, and high-confidence decision theory cannot be achieved by vibe coding.

What it would actually take: Requires an ML research team with expertise in reinforcement learning, decision transformer architectures, and formal verification. The stack involves distributed GPU clusters (PyTorch, Ray, Megatron-LM), custom synthetic/tabular-state datasets representing multi-objective decision graphs, and rigorous safety alignment benchmarks.

Competitors

Other products that read as similar to this one — 57 launches clear the similarity bar, closest 8 shown.

Attention rank: #41 of 58 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 330 days after the earliest competitor.

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