Avoca
Also known as: avoca.ai
AI front office for home services. Agents answer every call, text and chat, book jobs into ServiceTitan and other field service systems, follow up on estimates by SMS and phone, and score every call for coaching.
Avoca sells an AI front office for home service businesses in HVAC, plumbing, electrical, roofing, garage door, pest control, auto repair and more.
Its AI CSR answers every inbound call, text and chat around the clock, pulls the caller's history from the CRM before answering (past jobs, equipment, membership tier), qualifies the issue, checks technician availability and books the job into ServiceTitan, Housecall Pro or FieldRoutes, handing the call to a human CSR with the full context when needed.
Speed to Lead answers new leads in under 15 seconds, Outbound runs drip campaigns across SMS and calls to follow up on estimates and past customers, and Web Chat, a Simple Scheduler and Google Local Services Ads handling round out the products.
Coach scores every call on objection handling, process adherence, tone and booking outcome, flags calls whose recorded outcome does not match what happened and gives the reason each unbooked call did not convert, with dashboards for managers. Avoca holds SOC 2 Type 2 certification and runs a trust center for enterprise customers. It publishes no API and names no deployment options or model choices. Pricing is quoted through a demo. The company announced a 125 million dollar Series B at a one billion dollar valuation.
Vendor details
Canonical URL
https://www.avoca.ai
Category
Voice agent
Funding status
$125M+ raised across Seed, Series A, and Series B at a $1B valuation (announced April 27, 2026); Series B led by Meritech Capital and General Catalyst, Series A by Kleiner Perkins, with Y Combinator, Amplify Partners, and Nexus Venture Partners; 800+ home service operators; on track to book $1B in jobs in 2026; customers include 1-800-GOT-JUNK?, Goettl, Turnpoint Services, and Sila Services; NYC-headquartered with a Santa Barbara office; co-founder Tyson Chen
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Integrates directly with ServiceTitan (a certified app), Housecall Pro and FieldRoutes to book jobs into the operator's existing system, connects to Google Local Services Ads and lists more than 70 integrations. Calls, texting, web scheduling, call center overflow and chat run in one system.
In practice
Every CSR is on a call during a summer heat wave and the phones keep ringing. Avoca answers each caller, pulls their equipment and membership from ServiceTitan and books the job in under 30 seconds on average.
A caller reports an emergency after hours. Avoca picks out the urgent keywords and intent, routes the call straight to a technician and passes along who is calling, what they need and their equipment.
A service manager wants to know why bookings dipped last month. Coach scores every call against the company's rubric, flags calls marked not interested that should have been booked, and gives the reason each unbooked call was lost.
Sources & related URLs
Research sources
Agentic Index coverage score
6.5 / 14 capabilities · 46%
| Integrations & Tool Calling | Full |
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The AI CSR books jobs and syncs records in ServiceTitan (a certified app), Housecall Pro and FieldRoutes, pulls more than 12 CRM fields about the caller before answering, and connects directly to Google Local Services Ads, with a directory of more than 70 integrations. Bookings reach the dispatch board in real time, and a human CSR who takes a transfer gets a brief with the customer's name, lifetime value, service history and equipment. SourceAvoca, avoca.ai, /inbound and /integrationsread 2026-10-06 |
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| Workflow Orchestration | Partial |
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Each inbound call runs as one conversation that listens, identifies the issue, handles objections and books the job, in under 30 seconds on average, and emergencies spotted from critical keywords, phrases and intent go straight to a technician. Outbound runs multi channel drip campaigns across SMS and calls. These flows come built in. Avoca names no workflow builder, branching or multi agent execution that the operator configures. SourceAvoca, avoca.ai and /inboundread 2026-10-06 |
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| Knowledge Grounding & RAG | Partial |
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Before each call the agent pulls the caller's history from the CRM (past jobs, equipment, membership tier) for that call, and it recognizes emergencies from critical keywords, phrases and intent. Avoca names no knowledge base or document store that the business fills with its own material. SourceAvoca, avoca.ai/inboundread 2026-10-06 |
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| Human Oversight & Guardrails | Partial |
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Calls escalate to the operator's CSRs with the full context (who is calling, what they need, their equipment and tone) in under three seconds with no dropped calls, and the operator chooses whether callers are told they are speaking with AI. Routine requests are booked by the AI while emergencies are routed to a technician at once. Avoca names no step where a person approves the agent's booking before it goes through. SourceAvoca, avoca.ai/inboundread 2026-10-06 |
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| Security, Identity & Governance | Partial |
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Avoca is SOC 2 Type 2 certified, by its own account, and runs a trust center at trust.avoca.ai for enterprise customers. It names no roles, SSO or other access controls for the people who use the product. SourceAvoca, avoca.ai and trust.avoca.airead 2026-10-06 |
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| Observability & Auditability | Full |
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Every call is reviewed and flagged when the recorded outcome does not match what happened, so bookable leads marked not interested surface and the real booking rate shows. Each unbooked call carries the reason it did not convert, and dashboards track more than 20 KPIs with breakdowns per CSR that managers can drill into and export. SourceAvoca, avoca.ai/coach and avoca.airead 2026-10-06 |
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| Memory & State Persistence | Not documented |
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Caller history comes from the CRM on each call as the business's own record. Avoca names no memory that the agent keeps for itself. SourceAvoca, avoca.ai/inboundread 2026-10-06 |
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| Deployment & Data Residency | Not documented |
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Avoca is a hosted service, deployed for single and multi location operations alike. It names no region choice, private deployment or option to run in the customer's own environment. SourceAvoca, avoca.airead 2026-10-06 |
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| Prebuilt Agents, Templates & Packs | Full |
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Avoca sells separate products for separate jobs, and a business can take them one at a time. They are the AI CSR for inbound, Speed to Lead, Outbound drip campaigns, Web Chat, Simple Scheduler, Google LSA handling, Coach and Analytics. The products serve 12 trades, from HVAC, plumbing and electrical to auto repair, dealership service, fuel delivery, movers and restoration. SourceAvoca, avoca.airead 2026-10-06 |
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| Triggers & Channel Coverage | Full |
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Inbound calls, texts, emails and web chats are answered around the clock, new leads get a response in under 15 seconds, and outbound drip campaigns run across SMS and calls, all without anyone at the business starting them. For unbooked calls Avoca triggers an automatic follow up, with follow up times under five minutes and a 30% win back rate. SourceAvoca, avoca.ai, /inbound and /coachread 2026-10-06 |
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| Model Flexibility & Routing | Not documented |
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No language model or voice provider is named, and Avoca does not say whether customers can choose among providers. The operator tunes the voice to its brand, and many choose a natural sounding voice. SourceAvoca, avoca.ai and /inboundread 2026-10-06 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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Avoca publishes no API, SDK or developer documentation for its own platform. Its integrations run into field service systems. SourceAvoca, avoca.ai sitemap and homepageread 2026-09-28 |
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| Testing, Debugging & Optimization | Partial |
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Coach scores every call against the company's own rubric on objection handling, process adherence, tone and booking outcome and shows managers where to coach their team. Avoca does not say whether scores feed back into the AI agent, and it names no testing of agent changes. Customers report booking rates up 15%, twice as many memberships sold and $29K recovered in 90 days. SourceAvoca, avoca.ai/coachread 2026-10-06 |
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| Browser & Computer Use | Not documented |
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The agents work by phone, text, email and web chat and act through field service integrations. Avoca names no browser, desktop or computer control. SourceAvoca, avoca.ai and /inboundread 2026-10-06 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Contact sales
Not published
What is public
Nothing about price is public on avoca.ai; the sales cycle and payback figures carried here in July came from press coverage and are withdrawn.
Billing mechanics
Not published. Avoca quotes through a demo; the billing unit and plan structure are not stated on its site.
Variable cost rationale
No billing model captured; per-location or per-call economics are plausible for the category but not documented for Avoca.
Sales call required
Yes, required for paid access
Free / trial
Not published
Key ambiguities
No rate, billing unit or plan structure is published.
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Alternatives to Avoca
The closest documented capability profiles to Avoca among voice agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Netic5.5 / 14A lighter documented profile than AvocaAvoca vs Netic →
- Numa5.5 / 14A lighter documented profile than Avoca
- Broccoli6.0 / 14Adds documented Model Flexibility & Routing
- EliseAI7.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Security, Identity & Governance
- Hello Patient5.0 / 14A lighter documented profile than Avoca
- Sameday8.0 / 14Adds documented Memory & State Persistence and APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded