Allo
Virtual receptionist
High latency and unnatural speech failed clients. Now, responsive AI receptionists answer instantly in French and English.
- 2x higher caller engagement in US
Laundromat operators lost revenue missing 24/7 calls. Now, an AI voice agent handles routine inquiries across thousands of locations.
A vertical SaaS platform powering over 4,000 laundromat brands across all 50 states manages operations ranging from in-store self-service to pick-up and delivery.
Laundromat operators needed 24/7 customer support for repetitive inquiries about hours, locations, and machine refunds, but lacked the capital to...
“Most of our operators are scrappy small-business owners. They are hiring drivers, managing machines, optimizing routes, but they do not have the capital to hire someone to sit by the phone all day.”
Cents's Virtual voice receptionist is part of this use case:
Business management and point-of-sale software for the laundry industry.
Platform for building and deploying conversational AI voice agents for phone calls.
Related implementations across industries and use cases
High latency and unnatural speech failed clients. Now, responsive AI receptionists answer instantly in French and English.
Hiring speed limited 24/7 reach. Custom voice AI now handles intake—even from noisy job sites—so agents focus on complex tasks.
Call surges left EV drivers stranded on hold. Now, an AI agent instantly handles routine calls, freeing humans for complex edge cases.
High latency and unnatural speech failed clients. Now, responsive AI receptionists answer instantly in French and English.
Hiring speed limited 24/7 reach. Custom voice AI now handles intake—even from noisy job sites—so agents focus on complex tasks.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Laundromat operators lost revenue missing 24/7 calls. Now, an AI voice agent handles routine inquiries across thousands of locations.
A vertical SaaS platform powering over 4,000 laundromat brands across all 50 states manages operations ranging from in-store self-service to pick-up and delivery.
Laundromat operators needed 24/7 customer support for repetitive inquiries about hours, locations, and machine refunds, but lacked the capital to...
“Most of our operators are scrappy small-business owners. They are hiring drivers, managing machines, optimizing routes, but they do not have the capital to hire someone to sit by the phone all day.”
Cents's Virtual voice receptionist is part of this use case:
Business management and point-of-sale software for the laundry industry.
Platform for building and deploying conversational AI voice agents for phone calls.
Related implementations across industries and use cases
High latency and unnatural speech failed clients. Now, responsive AI receptionists answer instantly in French and English.
Hiring speed limited 24/7 reach. Custom voice AI now handles intake—even from noisy job sites—so agents focus on complex tasks.
Call surges left EV drivers stranded on hold. Now, an AI agent instantly handles routine calls, freeing humans for complex edge cases.
High latency and unnatural speech failed clients. Now, responsive AI receptionists answer instantly in French and English.
Hiring speed limited 24/7 reach. Custom voice AI now handles intake—even from noisy job sites—so agents focus on complex tasks.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.