Automate phone calls and workflows for your automotive dealership with AI.
Overview
Toma is an enterprise-grade AI voice platform and operating system custom-built for automotive dealerships. The software creates highly sophisticated AI voice agents that pick up 100% of inbound store phone calls with human-like accuracy and conversational nuance. By integrating directly into native industry systems like Dealer Management Systems (DMS) and automotive CRMs, the platform automates service appointments, checks recalls, and qualifies leads around the clock. It captures millions in service revenue while freeing frontline dealership staff from routine call overhead.
Founded year:2024
Founder:Monik Pamecha, Anthony Krivonos
Team size:26-100
Popularity:Top-tier breakthrough voice AI provider widely recognized as a premier automation asset within the United States auto dealership landscape.
HQ:San Francisco, California, United States
Status:Active
Funding status:Funded
Revenue source:Subscriptions
Customer type:B2B
Funding:Raised $17.5M across three rounds, including a $17M Series A led by Andreessen Horowitz with participation from Y Combinator and individual tech leaders.
Integrations:Opera, Salesforce, HubSpot, OpenClaw, Google Workspace, Twilio, Slack
Founder story
Toma was founded in early 2024 by tech innovators Monik Pamecha and Anthony Krivonos in San Francisco. To deeply understand the immense pressure plaguing car dealerships, the founders completely immersed themselves inside active operations rooms. They realized that massive amounts of inbound business revenue evaporated simply because shorthanded teams couldn't pick up the phone fast enough. They engineered an autonomous vocal agent system specifically aligned to car dealer workflows.
What it does
• Provides compliance and marketing solutions for automotive dealerships
• Automates inventory syndication across multiple sales channels
• Ensures regulatory compliance in digital automotive advertising
• Generates customized reports on vehicle sales performance.
Who it's for
Automotive Dealership Groups
Single-Point Car Stores
Dealership Service Centers
Business Development Centers (BDC)
Why it works
Answers one hundred percent of inbound dealership phone calls automatically
Integrates natively with major automotive DMS, CRM, and service schedulers
Uses advanced reinforcement learning to continuously perfect its conversational accuracy
Reduces active dealer BDC call workloads by up to forty percent
Triggers intelligent fallback alert nodes to pass complex inquiries onto live teams
Growth strategies
Direct outbound enterprise loops targeting large multi- state dealership groups
Showcasing major automotive revenue capture metrics at industry trade events
Strategic platform distribution partnerships with dominant DMS provider networks
Value- led customer case studies demonstrating immediate reduction in dropped calls
Alternatives
Comparison overview
Unlike standard cloud telephony architectures like RingOver or Dialpad that provide passive call routing or basic transcription features, Toma acts as an interactive worker.
It shifts past generic sales assistants like Nooks by embedding native automotive specific domain logic like scheduling test drives or tracking vehicle recall databases.
Furthermore, its real-time continuous learning backend updates CRM record lines without forcing human operators to transpose text conversations manually.