End-to-end autonomous
Places outbound calls or answers inbound. Handles the full conversation without any human on standby.
AI voice agents · Bengaluru, Karnataka
Autonomous AI voice agents for Bengaluru teams.
AI voice agents that place or answer calls end-to-end — no human agent required for the routine 80%. Speaks Hindi, English, and regional Indian languages. Warm-transfers to a human when the conversation needs one.
Why Bengaluru teams pick dialque
Built for Bengaluru, not adapted to it.
India's SaaS + startup capital — where inbound-heavy support desks and SDR-led outbound both live under one roof, and Kannada + English is the everyday call mix.
Business districts we serve
- Whitefield
- Electronic City
- MG Road
- Koramangala
- HSR Layout
- Manyata Tech Park
Industries in Bengaluru
- SaaS
- IT services
- Fintech
- Startups
- Global engineering centres
What Bengaluru teams use dialque for
SaaS trial-to-paid nudges, subscription cancellation retention, fintech KYC status inquiries — Bengaluru's AI-friendly engineering culture adopts voice agents faster than most Indian markets.
What you get
Everything a Bengaluru contact centre needs, in one platform.
Hindi + regional languages
Auto-detects the language from the caller's first utterance. Handles Hinglish + code-mixing natively.
Warm handoff to humans
When the caller frustrates or asks something out-of-scope, transfers with a real-time conversation summary.
Same TRAI compliance
DLT + NDNC + 9-21 window enforced at the dialer, just like your human-agent campaigns.
Compliant with TRAI, DPDP Act, and every Indian carrier requirement.
DLT template enforcement, NDNC scrub at queue import, 9 AM – 9 PM calling-window guard, TRAI 3% abandon-rate pacing, DPDP-compliant recording storage. Everything a Bengaluru saas operator would flag in an audit is handled at the platform level, not documented as an add-on.
Languages in Bengaluru calls
dialque handles code-mixed conversations natively. For Bengaluru calls this typically means English, Kannada, Hindi and Tamil— English-only IVRs fail Tier-2 and Tier-3 callers, and AI call summaries are produced in the language the call actually happened in.
Support for Bengaluru teams
dialque is a remote-first team serving Bengaluru contact centres India-wide. Video demos same day; async support over email + WhatsApp; the product runs the same way whether your team is in Whitefield or anywhere else in Karnataka.
FAQ
Bengaluru-specific questions we get asked.
- Our Bengaluru parent entity is US-based — can the AI voice agent present a local Indian CLI for outbound?
- Yes. For Bengaluru teams whose parent is in the US or Singapore routing calls back to Whitefield, Manyata, or Bagmane Tech Park, dialque bridges over international SIP with local Indian DIDs presented on the outbound leg — recipients see a familiar Bengaluru 080 or +91 number, not a foreign CLI. The AI agent sits on top of whichever Indian SIP trunk your local ops team already runs (Tata, Airtel, Vi Business, Knowlarity, or Plivo), so no separate carrier contract is needed just for the AI layer.
- Can the AI voice agent actually handle Kannada, or does it default to English for Bengaluru calls?
- It handles the real Bengaluru call mix — English, Kannada, Hindi and Tamil — and code-switches mid-conversation the way most callers here actually speak. A prospect starting in English and slipping into Kannada for address confirmation, or a Tamil-speaking customer who prefers Hindi for numbers, is handled without breaking the flow. If the caller pushes into a dialect or intent the model is unsure about, the agent does a warm handoff to a human agent on your floor instead of guessing.
- How does this work for a Bengaluru SaaS company doing SDR outbound into US and APAC accounts?
- For Koramangala and HSR-based SaaS teams, the common pattern is using the AI voice agent for the top-of-funnel qualification layer — dialling MQLs, confirming ICP fit, booking a slot on the AE's calendar — and warm-transferring only qualified prospects to human SDRs. Because it is LLM-driven, the same agent can pitch a DevTools product in English to a US buyer and switch to Hindi for an India-region call, which matters when your SDR pod covers both geographies from one Bengaluru floor.
- How does the AI voice agent handle Karnataka's Shops & Establishments Act calling hours?
- Karnataka's Shops & Establishments Act constrains the working-hour window that BPO and support desks can operate, which sits tighter than TRAI's national 09:00–21:00 rule — the AI voice agent honours the tighter window per-campaign, so Bengaluru consumer campaigns don't drift into non-compliant hours during long shifts. On top of that, the same compliance stack as our human dialer applies: DND scrubbing, consent capture, RBI-outsourcing-grade recording retention for fintech clients out of MG Road or Electronic City, and audit-ready trails.
- Our Bengaluru SDR pod runs 24×5 — how does dialque support debugging across US, EMEA, and India shifts?
- Pilot go-live for a Bengaluru SDR AI voice agent is under two weeks — SIP trunk connection, CRM wiring (Salesforce, HubSpot, or LeadSquared, all common here), English + Kannada + Hindi conversation tuning, and a shadow batch before live traffic. Post-launch, dialque's implementation team covers IST business hours with an on-call rota for production incidents; SDR pods running 24×5 across US, EMEA, and India shifts open a dedicated Slack channel so shift handovers don't lose context. Prompt and persona changes are self-serve from the console.
- We're currently on Exotel / Ozonetel for our IVR — can we migrate to the AI voice agent without losing our number?
- Yes. Bengaluru teams migrating off Exotel, Ozonetel, MyOperator or Ameyo usually port the existing DID to the new SIP trunk (or forward it during the transition), so customers dialling your Bengaluru number don't notice the switch. The AI voice agent replaces the touch-tone IVR flow with a natural-language one in English, Kannada or Hindi, and complex intents warm-transfer to your existing human agents — so you can migrate one queue at a time (say, L1 support first, then outbound) instead of a big-bang cutover.
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