Numa builds AI-driven customer service automation targeted specifically at auto dealerships, automating tasks like rescuing missed calls, booking service appointments, providing service-status updates, and facilitating trade-ins. The company pivoted from a broader conversational-AI product to focus on the automotive vertical and emphasizes end-to-end workflows designed around dealership needs. Numa runs in-house models trained on datasets from OEMs, dealership systems, and conversation data to power its automations. The startup has about 600 customers across the U.S. and Canada and roughly 70 employees. CEO Tasso Roumeliotis says the company is “just about” cash-flow break-even and is using capital to accelerate product development and expand its AI and machine-learning team. Numa plans to invest in building specialized AI models for the automotive vertical to deepen its product differentiation. NumberAI has built a system that lets small businesses connect landline (and mobile) phone numbers digitally so incoming texts and messages are routed and managed rather than lost. The product is positioned as an "AI receptionist," offering routing, auto-responders, smart replies and bot-driven customer interactions. The company plans to distribute its services through telecom carriers as distribution partners, providing basic features to businesses and premium products for upsell. NumberAI expects opportunity as Google and Apple begin adding phone numbers to search/maps results that allow customers to text businesses directly. The team is led by Tasso Roumeliotis and has raised $1.6 million in a seed financing from Draper Fisher Jurvetson. The company acknowledges risks around spam and employee adoption and sees messaging platforms (e.g., WhatsApp) and competitors like Zipwhip as adjacent market forces.

Total raised

$34M

Funding rounds

2

Latest round

Series B

Latest activity

Oct 2024