Toma
Also known as: Toma AI, toma.com
AI voice agents for car dealerships: 24/7 inbound answering, live service calendar booking, parts and sales handling, recall outreach, and SMS automation with a One Size Fits One personalized voice per store. a16z and YC backed, 100+ dealerships, $17M Series A per third party reporting.
Toma builds AI voice agents for car dealerships, born from a memorable pivot: the founders were focused on banking and healthcare until dealers came knocking, so they had their agent call essentially every dealership in the country, found calls were answered only 45% of the time, then toured Oklahoma and Mississippi dealerships to learn the business firsthand. The agent answers inbound calls 24/7 for service scheduling (booked against the live service calendar), parts orders and inquiries, sales questions, and recall notifications, handles outbound calls, and automates SMS alongside voice.
Its One Size Fits One approach ships a deeply personalized agent that sounds like the specific dealership from day one, with smart escalation to humans when calls require it. Vendor reported outcomes include answering 100% of inbound calls and booking 100+ extra appointments per month. Third party comparisons note the platform is voice first and primarily English, without browser autonomy. Backed by a16z, YC, Scale Angels, and Car Dealership Guy Yossi Levi; in use at 100+ dealerships.
Vendor details
Canonical URL
https://www.toma.com
Category
Voice agent
Funding status
$17M Series A per third party comparison; backed by a16z, Y Combinator (created at YC January 2024), Scale Angels Fund, and Yossi Levi (Car Dealership Guy) per TechCrunch; 100+ dealerships reached through word of mouth before hiring a first salesperson
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Integrates with major automotive platforms including dealership management systems, booking against live service calendars; automates voice and SMS in both directions; fine tuned models tuned for low response latency.
Sources & related URLs
Agentic Index coverage score
3.0 / 14 capabilities · 21%
| Integrations & Tool Calling | Full |
|---|---|
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Verified compatibility with major automotive platforms including dealership management systems, booking directly against live service calendars, dealership tool directory 2026-07-22 |
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| Workflow Orchestration | Partial |
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Agents execute in call tasks end to end (booking against the live service calendar, taking parts orders, qualifying sales leads) with escalation logic, short of cross system workflow orchestration, Toma materials and TechCrunch 2026-07-22 |
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| Knowledge Grounding & RAG | Unable to verify |
|
No knowledge grounding or retrieval layer documented, Toma materials 2026-07-22 |
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| Human Oversight & Guardrails | Partial |
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Smart escalation hands calls to humans when needed, per first and third party materials, without documented approval gate mechanics, Toma materials 2026-07-22 |
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| Security, Identity & Governance | Unable to verify |
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No security attestations or governance features documented, Toma materials 2026-07-22 |
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| Observability & Auditability | Unable to verify |
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No run visibility, analytics, or audit tooling documented in retrieved materials, Toma materials 2026-07-22 |
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| Memory & State Persistence | Unable to verify |
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No customer or agent memory layer documented, Toma materials 2026-07-22 |
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| Deployment & Data Residency | Unable to verify |
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Cloud platform; no self hosting or data residency options documented, Toma materials 2026-07-22 |
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| Prebuilt Agents, Templates & Packs | Unable to verify |
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The One Size Fits One approach is explicitly anti template, personalizing one agent per dealership; no template or agent library documented, Toma materials 2026-07-22 |
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| Triggers & Channel Coverage | Full |
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24/7 inbound answering plus outbound calls, proactive recall notification outreach, and SMS automation alongside voice, Toma materials 2026-07-22 |
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| Model Flexibility & Routing | Unable to verify |
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Fine tuned models are internal architecture; no customer facing model choice or routing documented, Toma materials 2026-07-22 |
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| APIs, SDKs & MCP Extensibility | Unable to verify |
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No public API, SDK, or MCP surface documented, Toma materials 2026-07-22 |
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| Testing, Debugging & Optimization | Unable to verify |
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No testing, simulation, or optimization tooling documented, Toma materials 2026-07-22 |
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| Browser & Computer Use | Unable to verify |
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Third party comparison explicitly notes no browser autonomy; the agent handles conversations rather than navigating software, third party comparison 2026-07-22 |
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The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify 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 captured
What is public
Nothing: retrieved materials cover the product and funding but no plan structure or rates.
Variable cost rationale
No billing model captured; per store or per call volume economics are typical for the category but not documented for Toma.
Sales call required
Yes, required for paid access
Free / trial
Not published
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Alternatives to Toma
The closest documented capability profiles to Toma among voice agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Broccoli5.0 / 14Adds documented Observability & Auditability and Prebuilt Agents, Templates & Packs, among others
- Numa5.0 / 14Adds documented Observability & Auditability and Memory & State PersistenceToma vs Numa →
- Trapeze4.0 / 14Adds documented Knowledge Grounding & RAG and Prebuilt Agents, Templates & Packs
- Voxia3.0 / 14Adds documented Observability & Auditability and APIs, SDKs & MCP Extensibility
- FleetWorks5.5 / 14Adds documented Security, Identity & Governance and Memory & State Persistence, among others
- Augie6.0 / 14Adds documented Knowledge Grounding & RAG and Observability & Auditability, among others
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded