Contact center - Unpod AI

Runnable today. An AI-first contact center: agents that place and answer calls, hand the call to a person when it matters, and report back after every batch. Built by contact centers, BPOs and BFSI teams.

💬One prompt”Call these leads, qualify for budget”

dial

📞Fifty callsDialed as one batch, in the caller’s language

report

📊One reportWho qualified, and why

Layers it uses

Layer	What it does here	Status
Telephony	Unpod numbers, outbound and inbound	Production
Channels	Voice	Production
Models	Hindi and English voice profiles, with failover	Production
Context Engine	Per-contact data, memory of past calls, post-call outcomes	Production
Agents	A playbook agent with handoff to a human	Production
Actions	Google Sheets sync; the post-call webhook to your CRM	Production

Build it today

Build the agent

Create a voice agent in Agent Studio with a playbook for the qualification script. Pick a Hindi or English voice profile, and set the calling days and hours.

Turn on handoff

Agent Studio → Advanced → Enable Handover, with the numbers of the people who take escalations. It is a warm transfer: the caller hears hold music while the person hears an announcement.

Load the contacts

Add your leads to a Space. Upload them, or connect a Google Sheet (Agent Studio → Integration) so that new rows trigger calls.

Launch the batch

From the Space, select the contacts and call - or use the Task API:

curl -X POST "https://unpod.ai/api/v2/platform/spaces/$SPACE_TOKEN/tasks/" \
  -H "Authorization: Token $UNPOD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"pilot": "my-sales-agent",
       "documents": [{"name": "Asha", "contact_number": "+9198xxxxxx01"},
                     {"name": "Ravi", "contact_number": "+9198xxxxxx02"}]}'

Read the report

Export the run from the Space as CSV, or read the Analytics tab. Each row carries the structured outcome you defined: qualified, budget, next step.

From the SDK instead, loop over calls.create with an SDK agent (see the Quickstart). Raise the agent’s max_concurrent first; it defaults to 1.

batch_calls.py

import asyncio
from unpod import AsyncClient

LEADS = ["+9198xxxxxx01", "+9198xxxxxx02", "+9198xxxxxx03"]

async def main() -> None:
    async with AsyncClient() as client:
        for number in LEADS:
            call = await client.calls.create(agent_id="my-sales", to_number=number)
            print(number, call.call_id, call.status)

asyncio.run(main())

Not yet

Human seats and queues. Escalations go to a phone number, not an agent desktop; there is no supervisor monitoring.
DND registry scrubbing. Keep your own suppression list and remove numbers before you dial. Calling-hours windows are enforced automatically.
Ready-made CRM connectors. Push outcomes with the post-call webhook.
Large campaigns. Calls run about 10 at a time by default; ask us to raise the limit before a big batch.

​Layers it uses

​Build it today

​Not yet

Layers it uses

Build it today

Not yet