Spectiv provides an AI‑driven platform that automates vehicle return settlement for shared‑mobility operators. Its self‑governing agents capture condition anomalies, map damages to the operator’s pricing catalogue, and calculate chargebacks, delivering a complete return report and customer‑ready invoice in about 60 seconds for seamless API integration.
Funding
Funding not disclosed
Founders
Product
Problem
Shared mobility operators must manually inspect returned vehicles, identify new damage versus normal wear, and reconcile these findings with complex pricing catalogs, leading to slow settlements, billing errors, and high labor costs.
Solution
Spectiv provides an autonomous return settlement platform that uses AI-driven vision agents to capture and analyze vehicle condition at drop-off. The system distinguishes new liability events from pre‑existing wear, maps findings to the operator’s own damage pricing catalogue, and applies pricing rules and live market data to calculate chargebacks. Within 60 seconds, Spectiv generates a complete, audit‑ready invoice and delivers it via an API, eliminating manual lookup and oversight while maintaining full operational control.
Target Audience
Primary customers are shared mobility platforms and fleet operators that manage large vehicle inventories and require fast, accurate return settlement and billing automation.
Features
- High‑resolution multimodal vision agents ingest images via mobile, SMS, or API to create a digital baseline and detect condition anomalies instantly
- Automated differentiation of new damage versus existing wear for accurate liability assessment
- Real‑time mapping of detected issues to the operator’s custom damage pricing catalogue and severity levels
- Integrated cost calculation engine that applies pricing policies and market data to produce transparent chargebacks
- One‑line API integration for programmatic processing of returns and immediate delivery of billing documentation
- 60‑second end‑to‑end workflow from unsupervised vehicle check‑in to invoice generation, supporting global fleet scale