Jobber
Field-service management platform with Jobber AI Receptionist, online booking, client management, scheduling, quoting, invoicing, and marketing tools.
Quo, formerly OpenPhone, is a shared phone system for small businesses where people and AI agents work together, with an AI phone agent called Sona that answers calls when the team cannot. Its homepage describes Quo as the phone system that brings every call, text, and customer into one shared place, so no opportunity gets missed, even after hours. Sona is the agent layer: it answers when the team is unavailable, captures the details the business needs from the caller, and hands the conversation to the team when it matters, rather than leaving the caller with voicemail. Around that agent, recorded calls come back transcribed and summarized, so no detail is missed and nobody has to take notes. The phone system itself is built for shared work: a business can set up a number in minutes, share one number across the team and stay aligned on the same conversations, and route incoming calls to the right person instantly. Analytics help the team spot issues before they cost the business, and calls and texts sync with the tools the business already uses. Quo states it powers conversations for more than 90,000 businesses, and its homepage names integrations and connections including HubSpot, Salesforce, Jobber, Zapier, Make, Pipedrive, Zoho CRM, Attio, Clio, Housecall Pro, Slack, webhooks, and HighLevel. It also offers one click connectors for Claude and ChatGPT, plus a public MCP server and an API that a business's own agent can read and act on, which sets it apart for teams that want their phone conversations available to their other AI tools. Number porting is presented as a guided switch, with step by step guidance, priority support during the transfer, and most customers staying reachable while the number moves. For a small business comparing AI phone agents, Quo is the option to shortlist when the priority is one shared number for the whole team, an AI agent that covers the gaps the team leaves after hours and at busy moments, and summaries and integrations that keep every call and text visible in the same workspace. Buyers should test Sona on their own common caller questions, confirm exactly what details it captures for their workflow, check how handoffs reach the team, and verify that the integrations they rely on are covered before moving a main number over.
Field-service management platform with Jobber AI Receptionist, online booking, client management, scheduling, quoting, invoicing, and marketing tools.
Retell AI is an AI voice agent platform for contact centers, in production at more than 4,000 businesses according to its homepage. Its agents answer inbound calls and place outbound calls, qualify leads, book appointments, check order status, and route or transfer callers to a live agent when needed. Retell is built for real contact center demands such as transfers, phone trees, outbound volume, and back end systems that have to work on every call. Features include agentic warm transfers, where the agent briefs the receiving person before connecting the customer, IVR navigation through complex phone trees and extensions, and a mix of deterministic and generative responses so critical steps such as disclosures and verification follow exact requirements while the rest of the conversation stays natural. During a live call, Retell agents can execute custom logic, access real time data, and complete tasks across business systems, from booking appointments to updating records. Persistent memory keeps a running brief on every contact across calls and texts, so returning callers can pick up where they left off. The platform also offers burst concurrency, sentiment analysis, AI quality assurance, live monitoring, and a shared caller history that can sync with an existing CRM or run in Retell CRM. CX teams build agents in a no code studio while developers extend them with APIs and SDKs, and every call is transcribed for review. Retell cites response times around 600 milliseconds and compliance with HIPAA, SOC 2 Type II, GDPR, and ISO 27001, with SSO, personal information redaction, and role based access control. On its pricing page, Retell describes true pay as you go pricing for voice agents at $0.07 to $0.31 per minute depending on the models, voice, and add ons chosen, with enterprise pricing custom, no platform fee, and 20 concurrent calls included. New accounts receive $10 in free credits on signup according to the homepage.
Vapi is a platform for building advanced voice AI agents, aimed at builders who want to configure agents on their own terms. Its homepage tagline is voice agents for builders, with the promise that teams can build, deploy, and improve voice agents as fast as they ship. Vapi presents itself as one unified platform for all of a team's voice agents, combining orchestration, real time monitoring, and enterprise grade configurability built for scale. Builders configure everything from voice and conversation flow to telephony and integrations, while Vapi handles the infrastructure so a team can move from prompt to production fast, with build, test, and deploy described as taking minutes. Once agents are live, Vapi is built around continuous improvement. Teams can track what is working across every call, surface what is not, and keep improving the experiences that drive their business forward. The homepage reports scale figures of 1 billion calls supported, 2.5 million or more agents launched, and 1 million or more developers, with average latency under 500 milliseconds. A customer quote from Ring on the homepage says that customer went from zero to production in two weeks, that 100 percent of its inbound volume now runs through Vapi, and that customer satisfaction scores have improved while its high bar for support was maintained. For enterprises, Vapi lists a support SLA with contractual uptime and performance guarantees and reserved capacity sized to volume, dedicated deployment support with a dedicated engineer embedded in the team to get live in a week, and scalable infrastructure that can scale to millions of calls. Security and control features listed include SSO, OAuth, and role based access control, AI guardrails built in to prevent model hallucinations and ensure data integrity, and compliance described as SOC 2, HIPAA, and PCI compliant, with 99.9 percent uptime stated for enterprise clients.