Built for B2B and D2C businesses that need enterprise grade reliability at startup friendly costs.Convert more leads, retain more customers, and scale your voice operations without hiring more agents.
Unlike basic IVR or chatbots, our agent sounds genuinely human through RVC V2 voice cloning trained on just 10 minutes of your brand audio, understands full context by pulling real-time data from CRM, call history, emails, and chats, handles objections dynamically rather than rigid scripts, seamlessly escalates to human agents with complete context transfer, no customer restarts, and delivers 24/7 performance across unlimited concurrent calls with unwavering quality.
RUU authentically captures your brand’s unique voice identity, delivering consistent, human-like quality across every single call your business handles.
RUU’s RVC V2 voice skin converts every agent sound, speech, breaths, hesitations, backchannels, into your brand voice.
This layer preserves biometric vocal consistency, ensuring every paralinguistic sound matches the exact acoustic signature of your custom voice.
Most platforms mix generic effects with cloned speech, creating jarring “Frankenstein voices.” RUU maintains one seamless vocal identity.
Our core stack (STT → LLM → TTS) runs in 100–150ms, and with the RVC V2 voice skin layer active, end-to-end latency lands in the 300–500ms range so conversations stay fluid, with minimal dead air.
Compared to human conversation: Research shows humans universally respond within 0–200ms in natural dialogue (Stivers et al., PNAS 2009). RUU operates within conversational range, while typical API-wrapper platforms run at 800–1,500ms—4–7× slower than human expectations.
Running cold outbound, appointment setting, demo scheduling, and qualification calls
Managing onboarding, check-ins, renewal reminders, and upsell conversations
Handling tier-1 inquiries, troubleshooting, appointment confirmations, and feedback collection
Conducting surveys, NPS calls, event invitations, and lead nurturing
Seamless AI call flow: trigger → personalize → converse → act → handoff → automate. Zero repetition, full context, human-speed responses.
For outbound calls, upload a CSV of contacts to the web dashboard or trigger them via CRM webhook (e.g., when a lead status changes to "qualified"). The system intelligently schedules based on time zones, do-not-call lists, and volume limits, then dials directly via our high-speed Telnyx integration and awaits pickup. For inbound calls, customers dial your business number (routed through Telnyx or your existing SIP trunk). The signal is instantly routed directly to our AI Audio Server, allowing the AI to answer in under 300ms with your custom greeting.
Before speaking, the AI agent queries CRM data (contact name, company, last interaction, deal stage, custom fields), call history (previous conversations, transcripts, sentiment scores, action items), campaign scripts (pre-defined flows, objection handling, qualification questions), and real-time events (open tickets, recent purchases, website activity)—all in parallel during ring time, enabling a fully contextual greeting like "Hi Sarah, this is Alex from Acme Corp following up on your demo request from yesterday."
The AI agent handles conversations using Whisper Large-v3 speech-to-text (50–80ms conversion with 95%+ accuracy despite noise/accents), LLaMA 3.1 8B language reasoning (30ms first response for intent processing, objections, next steps), Kokoro text-to-speech (40ms/chunk with natural prosody/emotion), and RVC V2 voice cloning (30ms brand voice application), achieving 300–500ms total latency—faster than human reaction time for natural flow without pauses. Conversation logic covers objection handling ("I'm not interested" → gentle probing on pain points), question answering (pricing from knowledge base or sales transfer), multi-turn reasoning (context retention over 10+ turns), and interruption handling (graceful mid-sentence stops and responses).
Throughout the call, the AI agent qualifies leads with BANT questions (Budget, Authority, Need, Timeline) and scores responses, books meetings ("Would Thursday at 2pm work?") by checking Cal.com availability and sending confirmations, updates CRM (marks "interested," adds notes, changes stages, creates tasks), transfers to humans ("Let me connect you with Sarah—she has full context"), and schedules callbacks ("I'll call next Tuesday at 10am—does that work?").
If the AI detects high-intent language ("I want to buy," "send contract"), emotional escalation (frustration, confusion, anger), beyond-knowledge questions, or explicit human requests, it performs a warm transfer by introducing the human agent by name, summarizing the conversation, and handing off—with a context popup showing full transcript, CRM data, sentiment, and next steps, ensuring no customer repetition.
After the call ends, the system automatically transcribes the full conversation (stereo: left=customer, right=AI), analyzes sentiment (positive/neutral/negative, flags escalations), extracts action items ("pricing sheet requested," "follow-up in 3 days," "enterprise list"), updates CRM with outcome, duration, recording, transcript, and next steps, triggers workflows (emails, calendar reminders, Slack notifications), and logs analytics (success rates, duration, objections, funnels)—with local storage (no per-minute fees like Telnyx/Twilio) and automatic compliance checks for consent/opt-outs.
Native integrations with Salesforce, HubSpot, Pipedrive, Zoho, and custom APIs.
Every call automatically updates the CRM with:
Why it matters: Zero manual data entry, no lost leads, and 100% visibility for sales managers.
Integrated with Cal.com, Calendly, and Google Calendar.
The AI checks availability in real time and books meetings on the call (“I can see Thursday at 2pm is open—would that work for you?”) → Instant confirmation email sent.
Why it matters: 40% of leads book on the first call vs. 12% with manual “I’ll send a link” follow-ups.
Web dashboard lets you:
Why it matters: Launch a 10,000-contact cold outbound campaign in 10 minutes, not 10 days.
The AI agent prioritizes calls based on:
Why it matters: Higher answer rates, better ROI per call, and zero compliance violations.
When the AI transfers to a human agent, the agent sees:
Why it matters: Customers never repeat themselves, human agents close deals faster, and handoff completion rates hit 95%+.
Works with any SIP-compatible carrier:
Why it matters: You’re not locked into one vendor. Shop for the best rates or use your existing phone infrastructure.
Trigger calls, retrieve transcripts, and sync call outcomes via RESTful APIs:
Why it matters: Integrate with any custom internal tool, data warehouse, or workflow automation platform (Zapier, Make, n8n, etc.).
While the core system is voice-first, the architecture supports expanding to SMS follow-ups and email sequences triggered by call outcomes.
For example: AI calls a lead → no answer → sends SMS 5 minutes later → sends email 24 hours later—all from one campaign.
Why it matters: 3× higher response rates vs. voice-only campaigns.
Web dashboard shows:
Includes Socket.IO-powered live updates—see calls appear and complete in real time without refreshing.
Why it matters: Sales managers and ops teams get full visibility without waiting for end-of-day reports.
Every call is transcribed with speaker diarization (customer vs. AI clearly labeled) and stored with the recording (stereo: left = customer, right = AI).
Full-text search lets you find calls by keyword, objection type, or outcome in seconds.
Why it matters: QA teams can spot training gaps, sales teams can find winning scripts, and compliance teams can audit consent handling.
Post-call NLP pipeline scores sentiment (positive/neutral/negative) and flags escalations (high frustration, explicit complaints, or requests for supervisor).
Alerts sent via Slack/email for urgent follow-ups.
Why it matters: Catch at-risk customers before they churn, and identify high-intent leads for priority human follow-up.
Export call data to CSV or connect to data warehouses (BigQuery, Snowflake, Redshift) via scheduled ETL.
Build custom dashboards in Tableau, Looker, or Metabase.
Why it matters: Align voice metrics with broader sales, support, and marketing KPIs in your existing BI tools.
Why it matters: Avoid $10,000–$50,000 fines per violation and sleep well during audits.
The infrastructure uses:
Why it matters: Your revenue doesn’t stop because of infrastructure downtime.
Optimize your impact this holiday season with an AI-driven, multichannel marketing strategy.
The voice quality on this is shockingly human, and there’s zero awkward delay before it answers. It handles about 60% of our appointment rescheduling now, and my front desk staff is finally able to breathe.
This system is insanely fast, it actually feels like a real phone call. It makes the outbound check-in calls, gets the load status, and logs it directly into our system the second the call drops. It just works.
Before this, we used a traditional answering service for after-hours plumbing emergencies, and they just took messages. By the time my guys woke up and called the customer back, they had already hired someone else. Now, the AI agent picks up on the first ring, understands the emergency, and actually books the slot on our calendar. Customers don't even realize they aren't speaking to my actual dispatcher.
The outbound latency is a game changer for sales.
We installed it mainly for guest calls and late-night inquiries, but it’s ended up doing much more than that. It answers consistently, sounds polished, and gives our hotel a much more professional experience outside front desk hours.
What I like is that it doesn’t feel like another software headache. We didn’t need to patch together five different tools, and within a short time it was already handling lead follow-ups better than most junior callers.
This AI answers instantly, deals with the simple questions, and captures enough detail that my reception staff can step in only when they actually need to.
We do home services, so a lot of our business depends on being the first one to answer. This gave us a reliable way to pick up every inbound call, qualify what the customer needs, and stop wasting time on missed opportunities.
I’ve tried other AI calling tools before, but most of them felt robotic in conversations. This one feels far more usable day to day, especially for handling inbound calls without that awkward pause that makes callers lose confidence.
Unleash the power of AI within RUU. Upgrade your productivity with RUU, AI Voice which sounds human.
RUU is the end-to-end AI voice platform for brands that want a natural caller experience without the complexity of building in-house.