urvo

urvo is a conversational AI platform focused on voice. According to its own materials, it lets businesses build, deploy and monitor low-latency, hyper-realistic AI agents that handle inbound and outbound phone calls and the workflows around them — answering, qualifying, booking, updating records and transferring to a human while the call is still live. The company positions itself around the idea that "the world still runs on phone calls" and that most of those calls still end in a hold queue or an unreturned voicemail; urvo's stated goal is to make those calls intelligent so that human teams can focus on work only people can do. The product is organized around an "agent lifecycle" of four stages: Build, Test, Deploy and Optimize. In the Build stage, users connect data sources, define the agent's role and set guardrails without writing code; the platform exposes configuration such as agent instructions, branding, procedures, model selection (the homepage shows Claude Sonnet 4.6 as an example model) and guardrails. The Test stage lets teams rehearse agents against real calls and their own edge cases. Deploy pushes the agent to every channel at once, and Optimize keeps tuning it from what actually happened on the line. urvo emphasizes production readiness over demos: sub-second responses, natural turn-taking and interruption recovery, mid-call actions such as booking or transferring, and guardrails with full transcripts. Capabilities highlighted on the site include omni-channel coverage, ultra-realistic voices, multilinguality, configurable verbosity and output format, and response-time settings ranging from realtime to 5 or 10 minutes. The platform integrates with CRM and dispatch systems. urvo also markets a build assistant called Solaris AI ("Build with Solaris"), which lets users ask the system to build an agent. urvo targets operations where a missed call is a lost customer. Its published solutions include insurance and home services. For home services — HVAC, plumbing, electrical, roofing, cleaning and pest control — the agents answer job calls while crews are on the road, qualify the work, quote ranges, capture service type, urgency, address and access details, triage emergencies such as burst pipes or no-heat calls, and book the slot directly into dispatch software. The site also describes use cases for multi-branch and franchise networks, recurring service contracts and estimate follow-up. The company reports social proof on its homepage, including a 4.9 rating claim, "5,545,305 calls resolved to date" and "Trusted by leading enterprises," though it does not name those enterprises in the supplied material. urvo is a privately held company; no parent, owner, founding year or headquarters is disclosed in the available evidence. Its primary web presence is urvo.io.

urvo is a conversational AI company whose public materials describe a single, focused mission: making business phone calls intelligent. Its "About" page frames the problem in operational terms — billions of phone calls keep businesses running every day (patients booking care, drivers confirming deliveries, buyers chasing quotes, customers asking about orders), yet most still end in a hold queue or a voicemail nobody returns. urvo states that it is building the AI that handles those calls so that human teams can do the work only people can do. The company's stated belief is that voice is the most natural way humans communicate and that it has been trapped behind phone trees and menu options for decades, and that the technology has finally caught up. It argues that every business deserves agents that listen, reason and act while the call is still live — not as a cost-cutting measure but because it is a better experience for the person on the line. urvo describes its engineering philosophy as "production first, demos second." It says it builds for the parts that are actually hard on a live call: sub-second responses so the conversation never feels like a wait; natural turn-taking and interruption recovery because real callers talk over you; actions mid-call such as booking, updating a record or transferring to a person rather than just answers; and guardrails with full transcripts so operators can see exactly what was said and done. The company says every agent it ships is tested against the customer's own edge cases before it ever answers a customer, on the principle that real phone calls do not forgive shortcuts. Product-wise, urvo has organized its platform around an "agent lifecycle" with four stages. Build: connect data sources, define the agent's role and set guardrails, with no code required and readiness in minutes. Test: rehearse against real calls. Deploy: ship to every channel at once. Optimize: keep tuning from what actually happened on the line. The platform exposes configuration for agent instructions, branding, procedures, model choice (the homepage shows Claude Sonnet 4.6), guardrails, verbosity, output format and response time, and it advertises omni-channel coverage, ultra-realistic voices and multilinguality. A build assistant branded Solaris AI lets users ask the system to build an agent. urvo markets vertical solutions. For insurance, it offers conversational AI for building, deploying and monitoring low-latency agents that deliver outcomes, integrate with CRM and scale. For home services, it offers agents that answer every job call while crews are on the truck, qualify the work, quote ranges and book the slot straight into dispatch software; the page lists HVAC, plumbing, electrical, roofing, cleaning and pest-control operators, plus multi-branch and franchise networks and recurring service contracts. The company reports traction metrics on its homepage, including a 4.9 rating claim, "5,545,305 calls resolved to date" and "Trusted by leading enterprises," without naming those enterprises in the supplied material. The available evidence does not disclose urvo's founding year, founders, headquarters, ownership or funding history. Its primary web presence is urvo.io, and a Wikidata item (Q139913730) describes it as "Conversational AI that handle inbound/outbound calls and all call-related workflows for businesses."

Production-first conversational AI for business phone calls: low-latency, hyper-realistic voice agents that take actions mid-call and integrate with CRM and dispatch systems, aimed at operations where a missed call is a lost customer.

• urvo Conversational AI Platform

  Platform for building, testing, deploying and optimizing low-latency AI voice agents that handle inbound and outbound calls, integrate with CRM and dispatch systems, and take actions mid-call.

• Solaris AI

  Agent-building assistant within urvo; users can ask Solaris to build an agent.

• AI Agents for Home Services

  Vertical solution that answers job calls, qualifies work, quotes ranges, triages emergencies and books slots into dispatch software for HVAC, plumbing, electrical, roofing, cleaning and pest-control operators.

• Conversational AI for Insurance

  Vertical solution for building, deploying and monitoring low-latency, hyper-realistic agents that deliver outcomes, integrate with CRM and scale.

1. 1urvo | Conversational AI Platformurvo.io
2. 2About | urvourvo.io
3. 3AI Agents for Home Services | urvourvo.io
4. 4urvo — Wikidatawikidata.org