Skip to content
Shivacha — Simplifying Tech Solutions
Shivacha AIVoiceReady to launch

Shivacha Voice AI

Natural, low-latency voice agents for inbound and outbound calls.

Shivacha Voice AI · Assistant

Sources

Help centre · Policies

Grounding

Citations on

Handoff

Enabled

How do I change my card limit?
Open Cards → Controls and set a new daily limit. Changes apply immediately.Source: Cards help · Section 3
Ask a question…
Illustrative interface · sample data

Overview

A voice AI product combining streaming speech recognition, language models and speech synthesis for call handling, appointment management, transcription and call analytics — with telephony integration and warm handoff.

The problem

Call centres face high volumes of routine calls, long waits and limited insight into what customers actually say.

The solution

Shivacha Voice AI handles routine calls end-to-end with natural conversation, escalates complex cases with context and analyses every call for quality and insight.

Feature modules

What's inside

Voice agent

Inbound and outbound conversational agent.

Telephony

SIP and cloud telephony integration.

Transcription

Real-time and post-call transcripts.

Handoff

Warm transfer with summaries.

Call analytics

Summaries, sentiment and compliance checks.

Controls

Consent prompts, redaction and recording policies.

Product preview

Designed for operators and end users.

  • Low-latency streaming
  • Interruption handling
  • Multilingual
  • Caller authentication flows
  • Calendar integration
  • CRM logging
  • PII redaction
  • Analytics dashboards
Agent run · Support refund
Illustrative
Customer: My order arrived damaged — can I get a refund?
  1. Understand requestIntent: refund · order #4821
  2. Retrieve policyRefund policy v3 · 2 sources cited
  3. Call toolsorders.lookup · payments.status
  4. 4Human approvalRefund above auto-approve limit
  5. 5Execute actionpayments.refund
  6. 6Respond & logCustomer reply · audit trail

Tool call

orders.lookup({
  order_id: "4821"
}) → { status: "delivered",
      amount: 42.00 }

Approval required

Refund 42.00 to original payment method

Architecture

Built to integrate and extend.

Modular services behind stable APIs, deployed into your environment.

Shivacha Voice AI architecture
5Interface
Web appEmbedded widgetAPIs
4Orchestration
Agent runtimeToolsGuardrails
3Knowledge
RAG pipelineVector searchConnectors
2Models
Hosted LLMsOpen-weight modelsRouting
1Operations
EvaluationTracingCost controls

Specifications

Deployment, security and integration

Integrations

  • Cloud telephony providers
  • Contact centre platforms
  • CRM
  • Calendars

Security

  • Data stays in your environment where required
  • Role-based access and document-level permissions
  • Prompt-injection and output guardrails
  • Full audit logs of prompts, tool calls and outputs
  • Encryption in transit and at rest

Deployment

  • Your cloud account (AWS, Azure, Google Cloud)
  • Private VPC with self-hosted models
  • Managed deployment operated by Shivacha
  • Hybrid: hosted UI, private data plane

Customisation

  • Model and provider selection
  • Custom tools and integrations
  • Brand, tone and guardrail policies
  • Workflow and approval rules
  • Custom evaluation sets

Use cases

Who launches with it

  • Appointment managementBooking, confirming and rescheduling.
  • Order status callsRoutine inbound queries.
  • Collections remindersCompliant outbound reminders.
  • Call quality analyticsInsights across all calls.

See it in action

Request a tailored demo for your use case.

Demos are tailored to your markets, partners and integration requirements.

FAQ

Frequently asked questions

Do callers know they are speaking with AI?

We recommend clear disclosure, and the platform supports it.

How natural is the conversation?

Streaming architecture keeps latency low; quality varies by language, so we test with your callers.

Can it transfer to a human?

Yes, with warm handoff and a summary for the agent.

Request a product demo.

See how Shivacha Voice AI fits your business, and how we would customise and deploy it.