WaniWani provides a unified AI-native storefront that lets service‑oriented companies publish product documentation, pricing, and lead capture directly within conversational AI assistants like ChatGPT, Claude, and Gemini. The platform handles integration, compliance, and ongoing maintenance while offering analytics and automated testing to ensure accurate, personalized interactions across all AI channels.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses struggle to reach customers on emerging conversational AI platforms because each platform requires separate integration, content formatting, compliance checks, and ongoing maintenance, making AI-driven distribution costly and fragmented.
Solution
WaniWani offers a single AI-native storefront that extends a product’s documentation, pricing, and lead capture capabilities across major conversational AI assistants such as ChatGPT, Claude, and Gemini. The platform automatically formats natural‑language Q&A from the company’s own documents, injects real‑time personalized pricing, and captures leads without external forms. WaniWani handles platform approvals, integration, and continuous updates, while providing monitoring tools that synthesize buyer interactions, test for regression on model updates, and enforce compliance with jurisdiction‑specific disclosures. Analytics dashboards let sellers track conversation volume, conversion rates, and drop‑off points across all AI channels in one view.
Target Audience
Primary customers are service‑oriented companies—such as insurers, lenders, and other financial‑service providers—that need to make their products discoverable, quotable, and purchasable through conversational AI assistants.
Features
- Unified AI storefront delivering product information and interactive Q&A on every supported conversational AI model
- Real‑time personalized pricing and lead capture embedded directly in the chat flow, eliminating separate apps or web forms
- End‑to‑end platform management including approval, integration, and ongoing maintenance across ChatGPT, Claude, Gemini, and future models
- Synthetic buyer testing that simulates real customer interactions on each AI platform to verify disclosure accuracy, pricing, and conversation quality
- Automated regression testing and alerting for any changes caused by AI model updates before customers notice
- Cross‑platform analytics reporting volume, conversion, lead capture, and session‑level tool‑call logs with side‑by‑side performance comparison
- Compliance monitoring with real‑time checks for mandatory disclosures, legal text, and jurisdiction‑specific rules, plus gate enforcement for multi‑step quoting workflows