AI/ML●●Solid
An API that catches what your LLM confidently got wrong
Six specialized endpoints including causality graphs for grounding AI outputs.
SlickSolve My Problem
hanwoo
521mo ago
Back to browse
Audit any AI/data pairing with Veritrooper
by brian8620·Jun 5, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainSolve My Problem
Cross-vendor verification catches hallucinations when LangSmith and Arize exist.
Strengths
- •Real benchmark data across four regulated domains with seven different models.
- •Cross-vendor verification mechanism for disputed answers adds defensibility.
- •EU AI Act conformity evidence toggle for compliance teams.
Weaknesses
- •LLM evaluation space is crowded with established funded competitors.
- •Heavy marketing language obscures the actual technical implementation.
Category
Target Audience
Enterprise teams deploying LLMs in regulated domains
Similar To
LangSmith · Arize · Braintrust
Similar Projects
AI/ML●Mid
Proposal for a real long-term AI memory benchmark
Audited LoCoMo and found 6.4% of answer keys are wrong—benchmarks are broken.
Bold Bet
dial481
401mo ago
AI/ML●Mid
A 4-layer self-audit system for AI behavioral evolution
Personal framework for one AI assistant — clever but too narrow to generalize.
Niche GemShip It
jhaugh
402mo ago
SaaS●●●Banger
AI assistants confidently get SaaS product facts wrong
Scans ChatGPT and Claude to catch lies about your SaaS pricing.
Zero to OneBig BrainSolve My Problem
gissurthor
102mo ago
Security●●●Banger
AI agent audited its platform, got 80% wrong, rewrote its methodology
Agent found real container escape via genome.json manipulation; reframed how to think about hostile code.
WizardryBig Brain
rsdza
463mo ago
AI/ML●●Solid
Agenda Intel MD – schemas and CLI to audit LLM strategic-risk briefs
Schema-valid evidence packs for AI agents when generic evals miss domain nuance.
Niche GemBig Brain
vassilbek
1020d ago