Skip to main content

AI Voice Agents for Technology Companies

AI voice agents for SDR outreach, demo scheduling, and trial-to-paid conversion calls at scale for technology companies.

Pipeline coverage without another SDR hire

A fully loaded SDR costs far more than the calling they actually produce, and ramp takes months. AI agents cover the top of funnel at $9.99/hr, work the full list every cycle, and let your human reps spend their day on the conversations that already show intent.

Trial-to-paid and product-led follow-up

Agents fire on product signals: a trial started, an integration connected, a usage limit hit, a trial about to lapse. The call references what the user actually did, answers setup questions, and books an onboarding or demo slot rather than sending another generic nudge email.

Demo scheduling and no-show recovery

Demos are booked directly into AE calendars with confirmations and reminders across email, SMS and WhatsApp. When a prospect no-shows, the agent calls back the same day and rebooks instead of dropping the opportunity into a follow-up queue.

Renewals, expansion and churn risk

Renewal reminders, seat-expansion checks and churn-risk outreach on declining usage all run on schedule. Every call and message writes back to HubSpot, Salesforce or your own stack through the API and webhooks, so revenue teams see one timeline per account.

Can the agent handle technical product questions?

It handles setup, pricing, packaging, integration availability and access questions from the knowledge base you supply. Anything requiring engineering judgement is escalated to a human with the transcript attached.

How does it connect to our existing stack?

Through native CRM and helpdesk integrations plus an open API and webhooks, so call outcomes, transcripts and next actions land in HubSpot, Salesforce or your own system without manual entry.

What does it cost compared with hiring an SDR?

Agent time is billed at $9.99 per hour with no seat licences, and there is no ramp period. Teams typically run agents alongside human reps rather than replacing them.