T

Toma Tech Stack

AI voice agents for dealership communications and revenue protection

Technology, Information and Internet San Francisco, CA 11–50 employees Privately Held

Toma operates a conversational AI platform purpose-built for automotive dealerships, with a modern TypeScript + Node.js + React stack deployed on Kubernetes and AWS. The tech choices—real-time voice processing, PostgreSQL + Prisma for structured data, Prometheus + Grafana for observability—reflect a company solving for low-latency, high-reliability agent interactions in a safety-critical domain. Recent adoption of Plaid signals expansion into dealership financial workflows beyond voice automation.

Tech Stack 21 technologies

Core StackTypeScript Node.js Next.js React Prisma PostgreSQL AWS AWS RDS Docker Kubernetes Prometheus Grafana Elasticsearch Bun NextAuth.js tRPC AWS ECS AWS EKS IAM VPC

AdoptingPlaid

What Toma Is Building

◆Challenges

Legacy software
Barriers to entry
High-stakes hallucinations
Barriers to ai adoption

▲Active Projects

Dashboard
Real-time voice ai
Support tooling
Plaid for automotive
Dms and scheduler integrations
Tooling for customer onboarding
Ml/llm deployment pipeline
Observability solutions
Realtime latency improvement

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Engineering

5

Executive

1

Seniority

Senior

4

Lead

1

Staff

1

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About Toma

Toma builds AI voice agents that automate inbound and outbound communications for automotive dealerships while maintaining guardrails against hallucination and customer experience degradation. The platform handles call answering, lead qualification, appointment scheduling, and integration with dealership management systems (DMS). Since launch in 2024, the company reports processing over 1 million calls for dealerships across the United States and recovering millions in revenue through automation and staff time savings. The engineering-focused hiring profile (5 engineers, senior-skewed) and active project list (real-time voice improvements, ML/LLM deployment, observability, DMS integrations) indicate a young company iterating on agent reliability and integration depth.

HeadquartersSan Francisco, CA

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Toma use?

TypeScript, Node.js, React, Next.js, PostgreSQL, Prisma, AWS (ECS, EKS, RDS), Kubernetes, Docker, Prometheus, Grafana, and Elasticsearch. Recently adopting Plaid for financial integrations.

What is Toma working on?

Real-time voice AI, dealership integrations (DMS, scheduler, Plaid), ML/LLM deployment pipelines, observability infrastructure, customer onboarding tooling, and latency optimization for agent responses.

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