01
Natural turn-taking
Interruptions, back-channelling, and mid-sentence corrections are handled the way a strong telecaller would.
Platform
A humanoid voice agent customers stay with
Built for Indian contact centres — ten languages, sub-800ms responses, and natural turn-taking that holds through speakerphone noise and mid-call language switches.
What you get04
- Handles interruptions, accents, and background noise without breaking flow
- Remembers prior conversations and continues with full context
- Hands off to humans on intent, sentiment, or explicit request
- Passed a contact-centre Turing test — 81% could not tell it was AI
<800ms
Response latency
10
Indian languages
81%
Could not tell it was AI
90%
Peak connect rate
Capabilities
What makes the agent feel human
The dialogue layer is trained on production Indian audio, not generic speech models that stumble on names and Hinglish.
02
Native code-switching
Hindi, English, Hinglish, and seven more Indian languages in one conversation without restarting the flow.
03
Conversation memory
Past calls, CRM fields, and channel history stay attached so the agent never asks what was already answered.
04
Warm human handoff
Escalations include transcript, intent, and sentiment so the human picks up mid-thought, not from zero.
05
Actions on outcomes
Books slots, sends payment or document links, triggers WhatsApp follow-ups, and updates lead status live.
06
Always under QA
Every call is scored across 23 parameters so tone, compliance, and conversion drift are caught early.
Built for India
Trained where your customers actually talk
Generic models fail on Indian names, amount formats, and noisy environments. Ours were built on 600M+ minutes of BFSI, commerce, and logistics contact-centre audio.
- Accent coverage across metros and tier 2 and tier 3 markets
- Robust to street noise, speakerphone, and weak networks
- Understands Indian names, addresses, and ₹ amounts correctly
- Compliance prompts and consent language embedded in the talk track
Agent profile
- Latency
- <800ms
- Languages
- 10
- QA parameters
- 23
- Handoff
- Intent + transcript
Call flow
How a Humanoid Agent runs a conversation
- 01
Connect with context
The agent opens with CRM and prior-channel context — product, stage, and preferred language.
- 02
Qualify and persuade
Intent, eligibility, and objections are handled against your approved script and offer rules.
- 03
Act or escalate
Bookings, links, and status updates fire automatically; sensitive cases hand off to humans.
- 04
Close the loop
Outcome, recording, and transcript sync back so the next touch — voice or WhatsApp — continues cleanly.
Outcomes
What teams measure after go-live
3x
Higher conversions
3.2x
Lower average handling time
60%
Lower cost per acquisition
2–3 wks
Pilot to first live calls
Proof
All case studiesHumanoid agents in production
Consumer
Eureka Forbes
Eureka Forbes Boosts Sales by 30% with Rubic Solution
90%
Connectivity
30%
Increase in Conversions
BFSI
IIFL Finance
IIFL Finance Achieves 3x Conversions & 3.2x Lower AHT with Voice AI
3x
Higher Conversions
3.2x
Lower AHT
Banking
Kotak Bank
Kotak Bank Doubles Lead Completions in Peak Campaign Windows
70%
Connectivity
2x
Conversions
Clarity first
Frequently asked questions
Yes. The same agent brain covers outbound campaigns and inbound lines, with talk tracks and escalation rules configured per journey in Control Tower.
See it run on your own campaign data
Pilots go live in two to three weeks, benchmarked against your current human agent numbers before any rollout decision.
93% of Rubic Solution pilots convert into production deployments.