Andi AI vs PropensityAI

Andi AI combines search results with AI-generated answers, giving readers material to explore alongside conventional results. Its listed tools include article and webpage summaries, plain-language explanations, and text generation based on search results. Andi says its Trantora index evaluates billions of web pages for meaning and credibility, using more than 450 data points per page. The free Andi Search plan includes unlimited searches and basic Discord support. API access is available for AI agents, RAG pipelines, research tools, and search features built into products; its API documentation describes a hosted MCP server and compatibility with Google Custom Search and OpenSearch standards. The Developer plan starts free and includes $5 in credit. The Team plan costs $49/month and includes $50/month in credits, up to five API keys, and priority email support. Andi says anonymous searches are not logged and browser-stored history and settings stay there; data is encrypted in transit and at rest. Account features are not currently offered in the EU or UK, and servers are in the United States.

PropensityAI combines retrieval and reasoning to answer questions across web pages, documents, and media with concise inline citations. It links claims to sources, flags uncertainty, and can decline when evidence is insufficient. Image analysis includes OCR, captioning, visual question answering, and structured extraction. Audio tools transcribe, identify speakers, summarize, and extract tasks. Video search locates scenes and spoken content with time-range citations. Users can query research PDFs and citations, then compare methods, results, and limitations. The maker describes connectors for shared drives, wikis, ticketing systems, and internal documents. Starter costs nothing, needs no sign-up, and allows up to 16 sources and one file per query. Local packages cost €8,000 as a one-time purchase for 30B Science & Logic or 30B Software Engineering, and €20,000, paid once for 130B General Intelligence. Team and Enterprise plans add shared connectors, controls, analytics, on-premises or VPC deployment, governance, and support. Enterprise can run local systems inside customer infrastructure, including air-gapped environments. The site says private queries and uploads are not used to train foundation models.