Large Language Models
Jun 16, 2026
Probably secures $9 million to enhance AI reliability and accuracy
Jun 16, 2026
AI Summary
Probably has raised $9 million in seed funding to develop a system aimed at reducing errors in AI outputs. The company's approach focuses on achieving high accuracy by rethinking AI engineering principles, which could have broad applications across various fields.
- Probably raised $9 million in seed funding from Andreessen Horowitz to improve AI reliability.
- The company aims to prevent hallucinations and factual errors in AI outputs, targeting 99.99% accuracy.
- Its first product is a data science tool that provides quick answers from complex datasets, complete with citations and audit trails.
- The tool uses a 'data science mech suit' system to validate answers against a deterministic validator, allowing for smaller AI models to be used.
- The current model is significantly less powerful than leading models, enabling it to run on local hardware and reducing token costs.
- The technology could be adapted for precision-sensitive applications beyond data science, such as accounting and medical services.
- The founder noted that major AI labs have not pursued this approach, as they benefit from ongoing corrections to their models.
aifundinghallucinationsaccuracydeterministic systems