Ringg AI offers a no‑code, cloud‑native voice AI platform that enables enterprises to create multilingual AI assistants for phone calls, automating tasks such as lead qualification, scheduling, and payment reminders. The solution includes a high‑throughput auto‑dialer, RESTful APIs, CRM connectors, and real‑time analytics, allowing 24/7 scalable outreach without additional staffing.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses that rely on outbound or inbound phone outreach must staff large call centers, manage complex IVR trees, and handle multilingual interactions manually. This results in high labor costs, limited scalability, low contact rates, and inconsistent customer experiences across languages and time zones.
Solution
Ringg AI delivers a no‑code, cloud‑native voice AI platform that lets enterprises create and deploy human‑like AI assistants for phone calls. The platform automates lead qualification, appointment scheduling, payment reminders, candidate screening, and other routine dialogs in over 20 languages, operating 24/7 with sub‑second latency. Calls are initiated via a high‑throughput auto‑dialer or embedded web‑call widget, and the AI maintains context, can transfer to a live agent, and logs structured outcomes to the user’s CRM or other downstream systems. Real‑time analytics and call disposition data enable continuous optimization of outreach campaigns without additional staffing.
Target Audience
The solution targets mid‑size to enterprise sales, marketing, customer support, and operations teams in finance, logistics, healthcare, e‑commerce, and talent acquisition that need scalable, multilingual voice automation. It also serves developers building custom voice workflows within existing SaaS stacks.
Features
- RESTful Voice Calling API and SDKs (JavaScript, Python, Go, Java, PHP) for programmatic call orchestration and webhook‑driven event streams.
- High‑velocity auto‑dialer capable of 1,000 calls per minute with smart retry logic and <330 ms response latency across 20+ languages.
- Contextual memory engine that preserves conversation state, supports dynamic variable substitution, and enables seamless handoff to human agents via SIP or Twilio.
- Enterprise‑grade security: end‑to‑end TLS encryption, role‑based access control, and audit‑ready call logs.
- Built‑in analytics dashboard offering per‑call transcription, sentiment scoring, disposition tagging, and API access for BI integration.
- Plug‑and‑play CRM connectors (HubSpot, Salesforce, Freshworks, Zoho) and Zapier integrations for automatic lead enrichment and workflow triggering.
- Web Call widget that embeds a voice assistant directly on websites, allowing instant click‑to‑call interactions without leaving the page.