Jobber
Field-service management platform with Jobber AI Receptionist, online booking, client management, scheduling, quoting, invoicing, and marketing tools.
Goodcall is an AI answering service and receptionist for small businesses, built around Gabi, an agent that builds and runs the business's AI phone agent. There is no code and nothing to configure: the owner describes the business in plain words, by typing or talking, or hands Gabi the website, and Gabi writes the greeting, the questions, and the steps, creates a voice identity that fits the business, then runs practice calls on hard cases and shows how each went. Nothing answers a real call until the owner approves it, and changes are made by describing them in plain language. The finished agent answers the phone 24/7, and callers are told they are speaking with an AI assistant. On each call it triages who is calling and why, qualifies the caller with the owner's own questions, captures the details, and sends the lead by text and email as the call ends. For bookings it checks the calendar first, offers times that fit, books the appointment, and texts the details to everyone. It recognizes returning customers by their number and updates their record as the call ends, with Google Calendar, Google Sheets, and HighLevel connected natively and Zapier reaching more than 10,000 other apps. When the agent cannot answer something, it hands off: by default it transfers to the business line, and the owner can point it at a person or department, have it take a message, or schedule a callback. Every plan includes a local number in the area code the owner picks, or the existing line can be forwarded so the agent answers always, or only when the line is busy or unanswered, and separate agents can be created per location. Every call is recorded and transcribed, and owners can play back calls, read transcripts, and track metrics such as booked appointments or missed leads. Pricing is deliberately unlike the rest of this category: Goodcall bills per unique customer the agent helps each month, with spam and wrong numbers not counted, and it never meters minutes, calls, or tokens, so a long call never changes the bill. The plans are named Starter, Growth, and Scale, with Enterprise for larger volume, every plan is month to month, and instead of a free trial the vendor offers a free demo agent to build, test, and hear before a number is connected.
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.