Platform

One reasoning engine behind every conversation.

A multi-stage engine, a studio for your own models, and QA on every call. Run anywhere.

Not a wrapper around a speech API. A call can only move along paths you designed.

01 · The engine

Understood, checked, then spoken.

Each stage has its own prompt, tools, guardrails and exit conditions. Every turn returns a structured {nextStageId, response}.

stage graph · agent v42 live
greeting → verification → intent → action → close
ptp dispute paid low_confidence → re-ask Greeting lang_detect · consent Verify identity name · DOB / last-4 Classify intent policy_check · amounts Capture PTP date · channel · link Raise dispute ticket → CRM Confirm & close UTR lookup · thanks Every turn passes three checks before it is spoken ✓ grounded in account data (no invented amounts) ✓ script & regulator rules (RBI FPC calling hours, tone) ✓ language & persona consistency (frozen closing lines) Warm transfer → human anger / legal threat
per-turn checks
stagetransition_rulereadable by compliance
groundamount · date · policy no.read from system of record
policycalling_hours · no_pressureenforced in-flow
policymandatory_disclosureenforced in-flow
frozendisclosure · consent · closeverbatim per language
branchdispute · already_paid · callbackescalation path
02 · Voice runtime

Built for the phone line, not the demo.

Crosstalk, hold music, code-mixing, interruptions. Streaming recognition and incremental reasoning within a per-stage latency budget.

Turn latency budget · typical
Speech → text
~180 ms
Reason & check
~260 ms
Text → speech
~120 ms
Telephony
~40 ms

Varies by language, provider and deployment. We measure and publish yours during the pilot. illustrative

Barge-in

Listens.

When the customer speaks, the agent stops, listens and re-plans.

Provider-agnostic

Swaps.

Deepgram, Sarvam, Cartesia, ElevenLabs, Azure, Groq, Claude, OpenAI, Gemini. Chosen per language and latency.

DTMF

Masks.

OTPs, card and account digits captured by keypad, masked in the transcript.

03 · Omnichannel

Voice first. Same brain everywhere.

One customer memory and one policy layer. What is promised on the call arrives on WhatsApp, and is remembered next call.

01 · Telephony

Telephony

SIP or PSTN. Inbound, outbound, predictive. DND scrubbing and calling-hour windows.

02 · WhatsApp

WhatsApp

DLT-registered templates, payment links and two-way SMS or chat that hands back to voice.

03 · Email

Email

Grievance intake and status queries via email and web chat, same guardrails.

04 · Humans

Humans

Warm transfer with transcript, sentiment, verified identity and next-best-action.

04 · Model Studio

Your recordings train your model, and no one else's.

Redacted, curated from your best agents, fine-tuned and evaluated. Then compounded every week.

Model Studio · fine-tune run
Training calls
3,120
redacted · consented · approved
Held-out eval
1,240
golden scenarios · incl. barge-in
ingest & redactcuratefine-tune & evaluatecompound weekly

Example run for illustration. replace with pilot data

Release gate · example run evaluated
runredactionaadhaar=100% pan=100% phone=100%
runwer_hinglishbase 18.4% → tuned 9.1%
runscript_adherence91% → 98%
runfrozen_linesexact-match 100%
runrelease_gatecompliance rubric ≥ 95

Grade → curate → fine-tune → simulate → approve → release → measure

05 · QA & analytics

Every call graded. Every number defensible.

Every conversation, not a sample, graded on grounding, flow, compliance and tone. Each issue traced to the exact turn.

Issue taxonomy · deterministic · spot-checked
issuerepeated_remindertraced to turn
issuewrong_amounttraced to turn
issuelooptraced to turn
issuemissed_disclosuretraced to turn
issuetone_violationtraced to turn
exportevidenceper-call
Outcome dashboards
contact ratepromise-to-payrenewal conversioncontainmenthandle timecost per call

by campaign · bucket · language

Daily client report · 09:00
09:00daily_performance_report.pdf
09:00per_call_evidence.csv

The evaluation models behind QA

Languages

Built in India, for Bharat's languages.

Code-mixing is the default. Numbers, dates and product names spoken the way your agents say them.

Languages · native-trained · live in 5
हिन्दीHindiHinglishதமிழ்TamilमराठीMarathiతెలుగుTeluguবাংলাBengaliಕನ್ನಡKannadaગુજરાતીGujaratiਪੰਜਾਬੀPunjabiമലയാളംMalayalamEnglish (IN)English (US)

Coverage grows with every deployment. Ask for audio samples in your language.

Plugs into
Core & lending

LOS · LMS · core banking · policy admin

CRM & dialers

Salesforce · LeadSquared · Zoho · Ameyo · Ozonetel · Exotel · Knowlarity

Payments

UPI · payment links · NACH/ECS · UTR

Observability

webhooks · APIs · SIEM export

45-minute technical walkthrough

See the reasoning trace on a real call.

Book a walkthrough
Engineering

Scope it with an engineer

Talk to an engineer