VerifyAI vs Luna Systems

Luna does not publish pricing. Their contracts are custom enterprise agreements negotiated with each operator. Industry estimates suggest per-vehicle pricing in the $10-20/month range for their full ARAS offering, though the software-only parking API may be priced lower.

VerifyAI charges $0.008 per verification with no minimums or annual commitments. Volume pricing drops to $0.005 at 100K/month and $0.003 at 1M+/month. For a fleet of 1,000 vehicles averaging 10 verifications per vehicle per day, VerifyAI would cost roughly $2,400/month versus Luna's estimated $10,000-$20,000/month.

The lack of public pricing from Luna makes direct comparison difficult, but VerifyAI's transparent model lets you calculate exact costs before committing.

Luna's software-only API focuses exclusively on parking verification for micromobility: confirming scooters are in parking bays, kickstands are engaged, and locks are secured. Their published accuracy is 93% overall, with lock detection at 97-98% but kickstand detection at only 66-70%.

VerifyAI covers parking verification, damage detection, and proof of delivery with 99.2% accuracy across all use cases. This broader scope means a single vendor and SDK integration can handle multiple verification needs.

Luna's ARAS hardware adds in-ride safety features (collision warnings, pothole detection, sidewalk riding detection) that VerifyAI does not offer, but these require cameras mounted on every vehicle.

Luna does not publish SDK documentation or offer self-service access. Every integration requires a direct B2B partnership with their team of 12-14 people, which can constrain onboarding capacity.

VerifyAI provides public documentation, sample apps, and a self-service SDK with 3-line initialization. Most teams are live within a day without needing to go through a sales process.

For operators who want to evaluate quickly or run a pilot without a lengthy enterprise procurement process, VerifyAI removes the friction entirely.

Luna originated from the Intel-Movidius Edge AI accelerator and runs optimized models on constrained hardware. Their ARAS runs on Qualcomm Snapdragon chipsets with 2cm positioning accuracy for geofencing.

For their software-only parking API, images from the rider's phone are sent to Luna's cloud for analysis. VerifyAI processes images on-device, keeping data local for faster results and better privacy.

Luna's edge AI expertise is strongest in their ARAS hardware product. For the software-only parking API, VerifyAI's on-device processing is a technical advantage.

Luna's ARAS hardware platform is a genuine differentiator. Their on-vehicle camera system runs on Qualcomm Snapdragon chipsets and provides real-time collision warnings, sidewalk riding detection, intelligent deceleration, and 2cm positional accuracy using computer vision rather than GPS.

Luna has strategic OEM partnerships with Segway and Qualcomm, and has deployed ARAS across fleets in Istanbul (3,000 scooters with hop), Oslo (2,700 with Ryde), and with Voi across multiple markets. This hardware-plus-software approach addresses in-ride safety problems that software-only solutions cannot.

VerifyAI is software-only and does not offer on-vehicle hardware, in-ride monitoring, or OEM partnerships. For operators who need both parking verification and real-time rider safety features, Luna's integrated hardware platform is the stronger option.

Luna is deployed exclusively in Europe (Ireland, Norway, Turkey, UK, Belgium) with live deployments across multiple operators. Their January 2026 funding round also emphasized consumer cycling safety cameras, broadening their addressable market beyond shared micromobility.

VerifyAI serves the U.S. market and is not limited to a single vertical, offering verification for micromobility, delivery, and fleet inspection use cases.

If you operate in European markets and want a local vendor with established operator relationships, Luna has the regional advantage. For U.S.-based operations or multi-vertical verification needs, VerifyAI is the better fit.