Summary compiled from chatwithdata.ai (root, /features, /pricing), a FutureTools review, and a public GitHub example repository (JayeshYadav99/Chat-with-Data). The site presents ChatwithData capabilities as part of an "AI Chat" offering that enables natural-language interaction with documents and data, supporting multiple models and multimodal inputs. Core capabilities described include a chat-style NL interface for querying documents, support for many file formats (PDF, Word, CSV, Excel, SQL), multimodal processing (text, images, audio, video), integrations with major LLMs (ChatGPT, Claude, Gemini, Grok), AI-driven summaries and Q&A, and an emphasis on privacy (site advertises "100% privacy"). The pricing page advertises a Free 7-day trial that includes access to major models, AI video/images, 24/7 support, and the advertised privacy claim; no detailed monthly/annual paid-tier pricing or limits were present on the pricing page reviewed. A public GitHub repository (JayeshYadav99/Chat-with-Data) appears to be a reference/sample implementation rather than a commercial SaaS; that repo demonstrates a tech stack including LangChain, Next.js, Vercel AI SDK, Supabase (vector store, private buckets) with Row-Level Security, and Clerk for authentication, and shows documents converted to embeddings for semantic search/chat. Limitations found: the site content is framed as an announcement/rebrand (AI Chat hosting ChatwithData capabilities) which may not represent a standalone product; multiple community/code-based implementations exist requiring coding to run; detailed paid-tier pricing, API documentation, usage limits, and enterprise terms were not available on the pages reviewed. Suggested next steps include inspecting additional pages (TOS/privacy), pulling the GitHub README for env/deployment details, signing up for the 7-day trial to verify signup/model/upload limits, or searching for API/SLA/enterprise pricing.