PQAI
PQAI: An affordable semantic patent search with API, MCP, and self-hosted access. Ranked #8 of 24 in AI Patent Search Software by our editors (6.7/10); pricing: Free plan · paid from $20/mo; best for developers and researchers wanting affordable APIs.
At a glance
- Editor score6.7 / 10
- PricingFree plan · paid from $20/mo
- Best forDevelopers and researchers wanting affordable APIs
- Free planYes
- Paid from$20/mo
- Semantic searchYes
- Facts checked20 Sep 2026
Where it wins
- Permanent free plan searches 100M+ patents
- Natural-language search with claims and citation retrieval
- Web, REST API, MCP, and self-hosted access
Where it doesn't
- Advanced family analysis and clustering are less complete
- Free queries are limited to 20 results
- PQAI states that plans do not offer refunds
Our verdict on PQAI
PQAI is an AI-powered patent and prior-art search platform for inventors, researchers, patent professionals, and IP software developers. It searches patent and scholarly literature using natural-language semantic search, while also offering CPC classification prediction, technical concept extraction, and patent data retrieval. Results can include titles, abstracts, claims, and citations, with support for saved queries, alerts, collections, PDF export, and API access. Its audience is especially suited to teams that need searchable patent data through a web interface, developer tools, or a self-hosted open-source option.
The published plans span free search, expanded web search, and API access. The Free plan searches 100M+ patents, allows up to 20 results per query, and includes CPC classification prediction, technical concept extraction, patent data retrieval, and helpdesk and email support. PQAI+ Monthly costs $20 per month, raises the limit to 500 results per query, and adds faster search, relevant full-text excerpts, offline export, 20 API requests per month, and priority support. PQAI+ Annual costs $216 per year with the same listed highlights. Starter costs $20 per month for US patent search through a REST API, MCP server access, an API token, and documentation. Developer costs $199 per month and adds top-ups, a usage dashboard, and audit logs. Enterprise costs $700 per month and adds commercial-use licensing, platform and product integrations, priority support, and custom volume.
PQAI fits organizations that want to connect patent search with Claude, ChatGPT, or Gemini, or build around REST API and MCP server access. The platform also supports web, API, and self-hosted use, giving developers several deployment paths. Its strongest case is affordable access to semantic search and structured patent data rather than a complete patent-analysis workflow. Teams needing more developed verified family analysis, clustering, or advanced workflow features should consider alternatives focused on those areas. Researchers and developers who value an open-source platform, alerts, claims, citations, and API flexibility are the clearest fit.
PQAI pricing
PQAI fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $20/mo |
| Semantic search | Yes |
| Claim analysis | Yes |
| Patent clustering | Not verified |
| Patent family analysis | Not verified |
| Monitoring alerts | Yes |
| Jurisdictions covered | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Email, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: Claude, ChatGPT, Gemini |
| Pricing | Free plan · paid from $20/mo (source) |
| Website | projectpq.ai |
| Facts checked | 20 Sep 2026 |
PQAI integrations
PQAI lists 3 integrations on its own site.
- Claude
- ChatGPT
- Gemini
Alternatives to PQAI
- PatSnapA broad patent intelligence suite for teams that need search, analysis, and monitoring.9.8
- IPRallyA broad patent research workspace for search, analysis, monitoring, and collaboration.8.8
- FindIPBroad AI patent search with a free plan and a $45 monthly entry tier.7.8
PQAI vs the competition
Compare PQAI with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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