Panofy - Train Your Expert Agent Team

Launch a Thinking, Evolving AI Knowledge Engine

Use Cases

Why it matters

A support agent trained on your internal docs, plugged into your stack via the Panofy API, with human-grade replies online 24/7.

Why Choose Panofy

98.5% Q&A accuracy

Smarter Q&A & docs engine

Compared with ordinary LLMs plus RAG Q&A, Panofy's knowledge engine reduces errors and hallucinations.

Lower costs

From $10/mo, cut costs

Panofy Q&A retrieval costs less than half of comparable products, and post-training conversation costs can decrease even further.

Unlock human-AI collaboration

Transform business operations with agents

Use conversational agents to assist employees, or embed fully automated workflows inside any software system to expand the boundaries of work with AI productivity.

Conversational Q&A: Chat-based work with channel messaging

Workflow API: APIs / SDKs for AI review and generation

Built-in or external data sources

Dynamic answers grounded in live data

Panofy includes large built-in storage and supports private enterprise or third-party data sources such as Notion, Microsoft 365, Salesforce CRM/ERP, and OneDrive.

FAQ

Supported formats include but are not limited to pptx, html, png, jpeg, gif, txt, md, xls, doc, pdf, css, json, mp4, svg, csv, and more. Panofy uses files to complete training automatically.

There are two major differences. First, consumer products do not train on your enterprise documents before answering, which can make answers less accurate and waste credits. Second, in real business use, Panofy's Q&A system is more controllable across process control, answer control, integration control, and cost control.

Yes. You can invite colleagues to use the Q&A agent you trained, generate a dedicated share link, or publish it to the marketplace for more people to use.

New accounts receive credits at registration, which can be used to try Panofy or compare Q&A quality with similar products. Free trials include some limits, such as limits on Q&A task count, storage, and model selection.

It delivers a more accurate professional Q&A engine at lower cost.