Who is the CEO of Ringg AI?

Siddharth Shankar Tripathi is the CEO of Ringg AI. The company was founded in 2023.

Where is Ringg AI located?

Ringg AI is headquartered in Bengaluru, India.

What funding stage is Ringg AI at?

Ringg AI is currently at the Series A funded ($5.5M in January 2026) with production deployment handling 1.5M+ monthly conversations and 99.9% uptime; scaling engineering and go-to-market teams stage.

How many employees does Ringg AI have?

Ringg AI has approximately 11-50 employees.

Ringg AI

Category: Voice / Speech AI

A no-code, multilingual voice AI agent platform that enables enterprises to deploy production-grade AI voice assistants capable of handling complex, real-time conversations across phones, websites, and apps in 20+ languages. Ringg AI was founded in 2023. The company is led by Siddharth Shankar Tripathi. Based in Bengaluru, India. Team size: 11-50. Total funding raised: $6.64M. Latest round: Series A ($5.5M, Jan 2026). Key investors include ["Arkam Ventures","Capital 2B","Groww Founder Fund","Kunal Shah (CRED)","White Venture Capital"].

Founded: 2023
Headquarters: Bengaluru, India
Team size: 11-50
Total funding: $6.64M

Value proposition

Delivers human-like, ultra-low latency (<330ms) multilingual voice AI agents that automate phone-based interactions 24/7, handling complex conversations with script adherence of 99.9% while reducing operational costs and improving customer engagement rates by over 30%.

Products and solutions

["AI Voice Agents for Outbound/Inbound Calls","Auto Dialer with Bulk Campaign Capabilities","Web Call Integration for Websites","Voice Agent APIs and Developer Platform","AI Recruitment Agent for Hiring","Call Deflection Agents with Automatic Follow-ups (Upcoming)","AI-Native CRM with Memory Layer (Upcoming)","Community Workflow App Store (Upcoming)"]

Unique value

Achieves industry-leading mean latency of 337ms (compared to competitors' 400-1000ms+), enabling truly natural real-time conversations with interruption handling. Platform combines proprietary speech-to-speech AI stack with hybrid knowledge graph technology to maintain context and handle complex multi-turn conversations across 20+ languages including Hindi, German, Arabic, and regional Indian languages.

Target customer

Mid-to-large enterprises in banking and financial services, logistics, healthcare, education, eCommerce, and HR departments seeking to automate customer engagement, lead qualification, collections, and support operations

Industries served

["Banking and Financial Services","Fintech","Logistics and Delivery","Healthcare","Education","eCommerce","Human Resources and Recruitment","Customer Support Operations"]

Technology advantage

Proprietary end-to-end voice AI infrastructure that eliminates dependency on piecemeal third-party solutions, combining ultra-low latency speech systems, large language models, and a hybrid knowledge graph to handle millions of monthly interactions. No-code deployment allows enterprises to launch custom voice agents in hours rather than months, with deep CRM integrations, real-time branching logic, and 10,000+ concurrent call capacity. Platform demonstrates proven ROI with 83% autonomous query resolution and 8x productivity improvement over traditional call teams.

How they differentiate

Ultra-low latency (<330ms mean latency vs competitors' 400-1000ms+) with no-code platform enabling same-day deployment. Proprietary end-to-end voice AI infrastructure combining speech systems, LLMs, and hybrid knowledge graph technology for context-rich multilingual conversations in 20+ languages including regional Indian languages (Hindi, Tamil, Marathi). Unlike competitors requiring multi-month implementation timelines, Ringg AI offers plug-and-play deployment with transparent pricing.

Main competitors

["Bland AI","Retell AI","Vapi AI"]

Key partnerships

["Microsoft for Startups (accelerator program)","NVIDIA Inception (AI infrastructure partner)","ElevenLabs (premium voice synthesis provider)","Deepgram (speech recognition partner)","QED Innovation Labs","Arkam Ventures (Series A lead investor)","Capital 2B (Seed lead investor)","Groww Founder Fund","Kunal Shah (CRED Founder)"]

Notable customers

["Cred","PharmEasy","Shiprocket","Flipkart","Shell"]

Major milestones

["Founded in October 2023 in Bengaluru","Seed round ($1M) led by Capital 2B in May 2025","Series A ($5.5M) led by Arkam Ventures in January 2026","Achieved industry-leading <330ms mean latency for voice conversations","Scaled to 20+ languages with 1.5M+ monthly conversations","Deployed across 20+ clients in India, US, and Saudi Arabia","Launched pilots in Dubai and North America"]

Growth metrics

1.5M+ monthly conversations, 99.9% uptime, 83% autonomous query resolution, 8x productivity improvement over traditional call teams, ~1000 appointments processed daily

Market positioning

Agile mid-market enterprise SaaS challenger positioned as faster, more accessible alternative to legacy enterprise voice AI platforms. Bridges gap between developer-focused API toolkits and expensive managed services, offering both technical flexibility and no-code accessibility for operations teams.

Geographic focus

India (primary - Bengaluru headquarters), North America, Middle East (Saudi Arabia, Dubai pilots), expanding to Europe

Patents and IP

No registered patents publicly disclosed as of latest update (January 2026)

About Siddharth Shankar Tripathi

Product Manager at Groww (fintech unicorn) and Flipkart (e-commerce); Previously founded and sold Flywheel.app; Co-founded DesiVocal (AI voice generation platform); BITS Pilani alumnus with expertise in scaling consumer products and platform infrastructure.

Official website: https://ringg.ai