Pauhu AI - 2026 Pricing, Features, Reviews & Alternatives

Pauhu AI is a cloud-based question-answering and search service that returns answers with citations attached to licensed, officially sourced references, or a clear note when a source cannot be verified. Designed for business buyers, developers, and content teams operating in regulated sectors, including government, health, energy, and digital services, Pauhu AI is accessible via a web app at pauhu.ai/app, a desktop browser extension, a REST API at api.pauhu.ai, and an MCP server connector for use inside third-party AI applications and agents. All data is processed and stored within the European Union.

Pauhu AI covers a broad functional range: cited answer generation with inspectable sources; program synthesis from plain-language intent; OCR for printed and handwritten text; image description, speech transcription, and text-to-speech; translation across all 24 EU official languages matched to the EU term base; custom translation memories and term bases with concordance search; Finnish statute lookup including amendment history and subordinate regulations; internet and web standards retrieval; package and code data; grammar, spelling, plain-language, and mixed-language checks; web page reading as a browser renders it; and local machine access to a chosen folder, database, repository, and terminal. Compliance assessment checks a product description or document against a selected requirements checklist, returning met, not met, or undetermined results with supporting quotations and links to official text.

Pauhu AI applies a privacy-by-design approach, running functions in the browser where possible so input stays on the device. Pricing is prepaid and usage-day based with no per-word meter, no automatic renewal, and no charge on days an API key is not used; price is quoted and approved before any payment is drawn. Failed or uncited answers are not charged. Post-quantum key exchange is applied on supported connections. Cited outputs are licensed for use as sourced inputs in AI training and evaluation datasets.