Mia Labs vs Toma
Compare documented scope, then run both against the same demo, integration and contract questions. This is an evidence table—not a winner declaration.
What this comparison establishes
Mia Labs and Toma are mapped to exactly the same ground: 3 shared workflow categories — voice ai & virtual bdc, ai lead handling & follow-up and service bdc & call handling. Scope is not the differentiator here, so the decision moves to configuration, integration behaviour, implementation capacity and commercial terms.
Neither Mia Labs nor Toma carries a dated evidence packet in this directory yet, so both records describe scope mapped from current provider and market sources rather than a recorded audit. Ask both companies for the same things in writing: the exact modules on the order form, named integrations with field-level scope, and a reference running your DMS and OEM.
Where they overlap, and where they do not
Mapped workflow categories only. Coverage is not capability—confirm the exact modules on the order form.
0 additional categories
Nothing outside the shared overlap.
0 additional categories
Nothing outside the shared overlap.
Named product lines on each side
Packaging changes. Confirm which of these are separate line items on the order form.
Inside the shared categories, Mia Labs fields 3 named lines against it (Mia AI, AI BDC, Service AI); Toma fields 3 named lines against it (AI Phone Agent, Service AI, Sales AI). Product names are packaging, and packaging changes — ask each provider which of these appear on the order form as separate line items, which are bundled, and which are add-ons priced later.
Mia Labs
- Mia AI — Voice AI & virtual BDC
- Mia Labs AI BDC — Voice AI & virtual BDC
- Mia Labs Service AI — Voice AI & virtual BDC
Toma
- Toma AI Phone Agent — Voice AI & virtual BDC
- Toma Service AI — Voice AI & virtual BDC
- Toma Sales AI — Voice AI & virtual BDC
Settle these before comparing features
Both records describe the same primary market (US). Market is therefore not a gate here, but country-level availability of specific modules still varies — confirm the modules you need, not just the company.
Both records describe the same typical segment (franchise and groups). Ask each side for a named reference at your rooftop count and OEM mix anyway — "typical" is an aggregate, and your configuration is not.
Evaluation criteria for the shared categories
Drawn from the buying guide for each category both records cover.
Voice AI & virtual BDC
- 1
Which actions can the AI take without approval?
- 2
How are hallucinations and opt-outs handled?
- 3
Can every action be audited in the CRM?
AI lead handling & follow-up
- 1
Which actions can the AI take without approval?
- 2
How are hallucinations and opt-outs handled?
- 3
Can every action be audited in the CRM?
Service BDC & call handling
- 1
Which actions can the AI take without approval?
- 2
How are hallucinations and opt-outs handled?
- 3
Can every action be audited in the CRM?
Five decisive tests
- 1
Complete one real workflow end to end, including an exception.
- 2
Trace one record through every integration in both directions.
- 3
Export a usable sample dataset and open it without the vendor.
- 4
Force a support escalation and time the response.
- 5
Price implementation through termination, including renewal increases.
Pricing, negotiated terms, OEM program eligibility, configured integrations, support quality and implementation outcomes vary by dealer and are not published here. This page compares documented scope and supplies the questions. The answers have to come from a written proposal, a scoped demo and a reference running your DMS and OEM.
Mia Labs vs Toma FAQ
What is the difference between Mia Labs and Toma?
Mia Labs and Toma are mapped to exactly the same ground: 3 shared workflow categories — voice ai & virtual bdc, ai lead handling & follow-up and service bdc & call handling. Scope is not the differentiator here, so the decision moves to configuration, integration behaviour, implementation capacity and commercial terms. Beyond mapped scope, the difference that matters to a dealer is configuration: which modules are on the order form, which integrations are live for your DMS, who performs the implementation, and what the three-year cost is including renewal increases.
Is Mia Labs or Toma better for a dealership?
Neither is named better here, and any source that names a universal winner in this category is not describing your store. Fit depends on rooftop count, OEM programs, the systems already in place, the department that has to adopt it, and the contract. Run both against the same workflow and the same questions, then compare what each proved.
Do Mia Labs and Toma do the same thing?
They overlap on voice ai & virtual bdc, ai lead handling & follow-up, service bdc & call handling. Within this directory's mapping their coverage is the same, so the decision moves to configuration, integration and commercial terms.
How much do Mia Labs and Toma cost?
This directory does not publish a universal price for either, because dealership software is quoted per configuration and the same product can differ several-fold between two stores. Ask both for the same thing in writing: modules and quantities, implementation, integration and usage fees, the initial term, the renewal mechanic, the annual increase, and the cost to leave.
Which integrates better with my DMS?
That cannot be answered from a directory record, and any page that claims to is guessing. Ask each provider to state, in writing and for your DMS version: the direction of the connection, the data objects, the refresh interval, who owns and supports the connection, and the fee. Then ask your DMS provider the same questions and compare the two answers.
Can I run both Mia Labs and Toma?
Sometimes, but overlapping systems in voice ai & virtual bdc, ai lead handling & follow-up, service bdc & call handling usually create duplicate data entry and an unclear source of truth. If you are considering both, define which system owns each record before you sign either contract.
What should I ask in the demo?
Use the same script for both, drawn from the shared categories above, and require the exception cases rather than the happy path. Record what is native, what is configured, what is delivered by a partner, and what is on a roadmap.
Where does this comparison stop being useful?
At the order form. This page compares documented scope and gives you the questions to ask. It cannot tell you what either company will quote you, what its support will feel like at 5pm on the last day of the month, or whether the integration you need is live for your configuration. Those come from references and a written proposal.