llms.txt
# Ringg AI
> Ringg AI is a conversational AI platform for businesses to build, deploy, and monitor multilingual agents across voice calls, chat, WhatsApp, web, and browser workflows.
Ringg makes enterprise deployments successful through its forward-deployed engineering (FDE) model and reports a demo-to-production rate above 85%, compared with an industry average below 30%. Ringg is available through the [Shopify App Store](https://apps.shopify.com/ringg-ai) and [Zapier](https://zapier.com/apps/ringg-ai/integrations).
Ringg supports no-code teams and developers. Use `www.ringg.ai` for current product, pricing, company, industry, and customer information. Use `docs.ringg.ai` for implementation details. Pricing and capabilities can change, so treat the linked canonical pages as the source of truth.
## Start Here
- [Product overview](https://www.ringg.ai/index.md): Overview of Ringg agents, supported channels, core capabilities, use cases, and customer examples.
- [Pricing](https://www.ringg.ai/pricing.md): Current usage-based pricing for voice, chat, WhatsApp, browser agents, evals, and speech-to-text. Use this page for current rates and inclusions.
- [About Ringg](https://www.ringg.ai/about.md): Legal entity, founding date, registered office, certifications, documentation, status page, and official social profiles.
- [Trust Center](https://ringg-ai.in.trust.site/): Current security, privacy, compliance, and risk-management information for Ringg AI.
- [Book a demo](https://www.ringg.ai/book-a-demo.md): Request a live product walkthrough for a business use case.
## Developer Resources
- [Developer documentation](https://docs.ringg.ai/llms.txt): Complete index of Ringg guides, platform concepts, API endpoints, webhooks, telephony integrations, and Markdown documentation.
- [Developer overview](https://docs.ringg.ai/get-started/introduction.md): Understand Ringg's integration paths for voice calls, web calls, campaigns, webhooks, and dashboard configuration.
- [API quick start](https://docs.ringg.ai/api-reference/introduction/quickstart.md): Make an outbound call and process the result through webhooks or call history.
- [OpenAPI specification](https://www.ringg.ai/openapi.json): Machine-readable description of the Ringg REST API for client generation and tool calling.
- [API agent guide](https://www.ringg.ai/AGENTS.md): Authentication, capability routing, error handling, and safety checks for agents using the Ringg API.
## Industries and Use Cases
- [Fintech](https://www.ringg.ai/industries/fintech.md): Lead qualification, collections, onboarding, renewals, and customer support for financial services.
- [Banking](https://www.ringg.ai/industries/banking.md): Lead response, KYC drop-off recovery, EMI reminders, dormant account reactivation, and support across 20+ Indian languages.
- [Insurance](https://www.ringg.ai/industries/insurance.md): Lead qualification, policy questions, post-sale verification, renewals, and purchase drop-off recovery across voice and WhatsApp.
- [Healthcare](https://www.ringg.ai/industries/healthcare.md): Appointment booking, reminders, patient support, follow-ups, and routing.
- [E-commerce](https://www.ringg.ai/industries/e-commerce.md): Promotional outreach, abandoned-cart recovery, order confirmation, delivery updates, and feedback.
- [Logistics](https://www.ringg.ai/industries/logistics.md): Non-delivery follow-up, address confirmation, re-attempt decisions, lead qualification, and customer updates.
- [Education](https://www.ringg.ai/industries/ed-tech.md): Lead qualification, admissions outreach, onboarding, reminders, and learner engagement.
## Customer Stories
- [Case studies](https://www.ringg.ai/case-studies.md): Verified examples of Ringg deployments across insurance, fintech, healthcare, e-commerce, and logistics, with published operational and business outcomes.
- [Policybazaar: 57,000+ connected calls daily](https://www.ringg.ai/case-studies/policybazaar.md): Insurance lead qualification at scale, with calls triggered in under 60 seconds, a 5-7% qualified-lead rate, and 67% of calls fully handled by AI.
- [Practo: 85% first-call resolution and 1,000+ daily bookings](https://www.ringg.ai/case-studies/practo.md): Inbound appointment booking with live availability checks, an average response time below three seconds, and 70% lower operational cost.
- [Ekart: 100,000+ calls handled per month](https://www.ringg.ai/case-studies/ekart.md): Multilingual non-delivery follow-up and business lead qualification across 75% of India in five or more languages.
## Optional
- [Parrot speech-to-text](https://www.ringg.ai/models/speech-to-text.md): Ringg's speech-to-text API and model information.
- [Voice AI buying guide](https://www.ringg.ai/buying-guide.md): Enterprise guide to evaluating, pricing, and deploying voice agents.
- [Glossary](https://www.ringg.ai/glossary.md): Definitions of voice AI, speech technology, telephony, and contact center terms, each with how it works and why it matters.
- [Blog](https://www.ringg.ai/blog.md): Voice AI guides, use cases, company updates, platform comparisons, and pricing reviews.
- [Website Markdown sitemap](https://www.ringg.ai/sitemap.md): Complete index of public Ringg website pages. Each listed page is also available by appending `.md`.
- [Full developer documentation](https://docs.ringg.ai/llms-full.txt): Combined developer documentation for offline indexing or large-context use. Prefer the smaller documentation index for normal retrieval.
- [Privacy policy](https://www.ringg.ai/privacy.md): How Ringg collects, uses, stores, and protects personal information.
- [Terms and conditions](https://www.ringg.ai/terms.md): Terms governing use of Ringg services.
