Tanvelo
Stress-test your AI. Before your users do.
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Automated adversarial stress testing, independent multi-judge scoring, and fine-tuning remediation datasets for production AI.
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More like this: all 163 launches in ai agent evaluation platforms →
PH · launched Oct 14, 2026 · 2 upvotes (top 22%)
- Horizontal
- Observability & eval
- Developer
- AI-native
- Commercial product
- SaaS
- Artificial Intelligence
- Tech
Similar launches
See all 138 similar launches →Could you build this?
Partial The orchestration of attacks, LLM judges, and scoring dashboards is vibe-codeable, but the adversarial quality and fine-tuning remediation pipeline need ML expertise.
What it would actually take: The core is a harness that generates adversarial prompts, calls target model APIs, and runs multiple LLM judges with aggregated scoring. The hard parts are attack diversity that actually finds real failures, judge calibration against human labels, and generating high-quality fine-tuning datasets that improve models without regressions. This needs ML evaluation and fine-tuning expertise, plus a benchmark corpus and human-labeled data.
Competitors
Other products that read as similar to this one : 138 launches clear the similarity bar, closest 8 shown.
Attention rank: #25 of 139 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 326 days after the earliest competitor.
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