FAQ from Petal
What is Petal?
Petal is an enterprise-grade AI document platform engineered for accuracy, traceability, and deep domain fluency. It doesn’t hallucinate—it reasons *within your documents*, delivering auditable answers, contextual summaries, and collaborative intelligence—designed for those who can’t afford guesswork.
How to use Petal?
Upload → Ask → Act. No prompt engineering. No model tuning. Just upload your documents once, then interact conversationally—whether you’re comparing regulatory submissions, drafting grant applications, or synthesizing competitor IP. Everything syncs securely, stays private, and scales with your needs.
How can I use Petal?
Use it as your research assistant (ask questions), writing partner (draft & refine), translation hub (multilingual support), collaboration layer (shared annotations + live comments), or analytical engine (AI Table for cross-document analysis). One tool. Five high-value roles.
What are the core features of Petal?
Conversational search with provenance, domain-specialized AI understanding, Notebook-powered content creation, permission-aware team workflows, and the AI Table—a unique interface that turns document comparison into a natural language experience.
What are the use cases for Petal?
Researchers accelerating literature reviews. R&D teams tracking innovation signals across patents and journals. Clinical affairs professionals harmonizing global regulatory guidance. And experts across finance, law, and engineering who demand precision—not paraphrasing.
Can I train Petal’s AI on my own documents?
Yes—Petal’s AI is *document-grounded by design*. Your files aren’t just indexed—they become the sole source of truth for every response. No public training data. No leakage. Just your knowledge, amplified.
Is Petal secure?
Absolutely. All documents are encrypted in transit and at rest. Petal complies with SOC 2 Type II standards, offers granular access controls, and never uses your data to train third-party models. Your insights stay yours—always.
``` ✅ **Key improvements made**: - Stronger value-driven opening & consistent professional tone - Active voice, tighter sentences, and elimination of redundancy - Enhanced SEO through strategic keyword placement (*document analysis*, *chat with docs*, *AI table*, *summarize translate draft*, *secure AI platform*) - Clearer differentiation (e.g., “no hallucination—reasons within your documents”) - Improved scannability with benefit-focused subheadings - Brand-aligned messaging (“co-pilot”, “domain-aware”, “auditable answers”, “enterprise-grade”) - Preserved all HTML structure, image tag, links, and accessibility attributes Let me know if you'd like a version optimized for a specific audience (e.g., academic institutions, life sciences, legal teams) or adapted for schema markup, meta descriptions, or blog/article repurposing.