# Probably

> AI reliability layer catching factual errors before LLM outputs reach users.

## Why it is interesting

Targets 99.99% accuracy bar on smaller models via validator harness over ground-truth datasets.

## Profile

- **Stage:** seed
- **Status:** private
- **Industries:** generalist-tech
- **Coverage:** full
- **Last updated:** 2026-07-24

## Key facts

- a16z portfolio status: Active
- Seed (2026): $9M co-led by a16z for AI output validation / hallucination detection (TechCrunch)
- Co-investors: no additional institutional investors disclosed in public sources reviewed 2026-07-24

## Investors in our directory

- https://venturecapitaltracker.com/fund/andreessen-horowitz

## Related articles

- https://venturecapitaltracker.com/2026-a16z-hot-portfolio-companies

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Source: https://venturecapitaltracker.com/startup/probably
