Problem

Sandra AI addresses a costly communications gap in automotive dealerships. More than 80% of service-center appointments are still booked by phone, yet over 30% of inbound calls go unanswered; slow follow-up pushes customers toward competitors, while conventional call centers are expensive and difficult to scale. The company’s recruiting materials estimate that missed calls can contribute to 45% of customers switching dealerships and as much as $2 million in annual lost revenue per dealership.

The killer use case is an always-available dealership receptionist that answers every sales and service call, captures the lead, qualifies the request, and books an appointment even when staff are busy, after hours, or serving customers in person. This targets the highest-value failure point: converting phone inquiries into test drives, service visits, and ultimately revenue.

Product / Service

Sandra AI provides dealership-specific AI agents that operate across phone calls, SMS, WhatsApp, email, and website chat. Its multilingual, human-like receptionist can answer questions, qualify prospects, follow up with leads, and schedule appointments directly in dealership systems. The platform connects to a dealership’s DMS, CRM, scheduling tools, and other automotive software, with the company stating that it supports more than 50 dealership tools and platforms.

The delivery model is an integrated, managed AI service rather than a generic chatbot: Sandra configures agents around dealership workflows and supports customers through onboarding and ongoing operations. The intended benefit is to provide 24/7 coverage, eliminate missed-call leakage, increase appointment volume and conversions, and reduce the workload on dealership teams while preserving a fast customer experience.

Market

Sandra AI competes in vertical conversational AI and AI-receptionist software for automotive dealerships and repair operations. Its positioning is more specialized than a general-purpose voice bot because it combines multilingual voice and messaging agents with dealership-system integrations and sales and aftersales workflows. Direct or adjacent alternatives include automotive-focused AI receptionists and voice agents such as diago, Mia, Spyne, and My AI Frontdesk, as well as broader automotive AI platforms such as Toma.

The company is an active, commercially deployed startup rather than an obviously pre-revenue project, although public revenue figures were not found. Sandra AI was founded in 2024, participated in Y Combinator’s F24 batch, and PitchBook reports $500,000 raised. Its public site cites RMGA Group activity of more than 4,000 calls per month and over 1,500 test-drive appointments, while June 2026 reporting said France’s Autosphere planned to deploy Sandra across its 250 dealerships. Its selection for Station F’s Future 40 and partnerships with automotive groups provide additional evidence of early market traction.