What VINquery.com does

VINquery.com, legally operated as Auto Databank, Inc., is a Toronto, Canada-based B2B SaaS company founded in 2006 that provides cloud-hosted RESTful APIs serving the automotive and adjacent industries. Its product portfolio consists of VINdecode (vehicle specification lookup against a database covering 132+ makes, 4,450+ models, 69,000+ trim levels for US/Canada vehicles from 1981 to present), VINfix (unsupervised ML correction of typographical errors in VINs), VINocr (deep-learning OCR for VINs in printed text), VINbarcode (Code 39 barcode reading for VINs), VMMR (image-based vehicle make/model/generation recognition for 43 makes/659 models), LPR (license plate recognition with jurisdiction identification), and DecisioQ (multi-criteria decision intelligence combining MCDA, TOPSIS, AHP, weighted scoring, and sensitivity analysis). The core technical stack runs on TensorFlow 2.X and YOLO V4 deep-learning models trained on in-house image collections.

The business model is purely usage-based: developers self-register, receive $480 in trial credits, and then purchase API credits that are deducted per call, with no commitment or credit card required for trial. Go-to-market is API-first and developer-led: comprehensive documentation, interactive demos, and code samples in JavaScript, Python, C#, Java, PHP, and Swift. Target customer segments are horizontal and automotive-focused, including software developers/integrators, parking and access-control operators, vehicle rental firms, leasing companies, and organizations needing decision intelligence for fleet and dealer operations — no named enterprise customers or distribution partnerships are disclosed in the source data.

Operationally, the company appears privately held and bootstrapped with 11–50 employees, no disclosed venture capital or private equity backing, no parent company, no subsidiaries, and no M&A activity. The data shows a single Toronto office at 120 Eglinton Avenue East, Suite 500, active operations (copyright through 2026), and a 2026 article-date copyright notice but no disclosed revenue, ARR, valuation, or recent leadership changes.

Name

VINquery.com

Legal name

Auto Databank, Inc.

Website

https://vinquery.com

Company type

Private

Founded year

2006

Operating status

Operating

Headcount range

11–50 employees

Short description

VINquery.com (Auto Databank, Inc.) is a Toronto-based B2B SaaS provider of RESTful APIs serving automotive software developers since 2006, delivering VIN decoding, OCR, barcode reading, vehicle image recognition, license plate recognition, and decision intelligence on a usage-based credit model.

Ownership category

akta.pro rank

Headquarters

HQ city

Toronto

HQ country

Canada

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales

Revenue model

1. API Credits System: Customers purchase API credits which are deducted for each API call made. New customers receive $480.00 in signup credits. The service is pay-as-you-go based on API usage volume.

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels3 records

Core offering

VINquery.com provides six RESTful APIs (plus the DecisioQ decision intelligence API) delivered as cloud-hosted SaaS for the automobile-related industries. The APIs cover VIN decoding from 17-character VINs, machine-learning-based correction of typographical VIN errors, OCR capture of VINs from images and documents, barcode (Code 39) capture of VINs, vehicle make/model/generation recognition from photos, and license plate recognition. Services are integrated by software developers building automotive, parking, rental, leasing, dealer, and fleet applications.

Product overview

VINquery.com is a cloud-based API platform offering seven RESTful APIs for automobile-related industries. The core product is the VINdecode API for vehicle specification lookup, complemented by four computer vision APIs: VINocr (OCR from images), VINbarcode (barcode scanning), VMMR (vehicle make/model recognition from photos), and LPR (license plate recognition). VINfix API uses machine learning to correct VIN typographical errors. DecisioQ API provides decision intelligence for ranking alternatives and generating explainable recommendations across automotive workflows. All services are delivered via SaaS on a per-credit pricing model.

Differentiator

Problem solved

Functional benefit

Brands

• DecisioQ: A real-time decision intelligence platform that helps software applications evaluate alternatives, apply business rules, rank options, and generate explainable recommendations.

Products and services

• VINdecode API 2.0 Cloud-hosted RESTful API that returns detailed vehicle specifications from 17-character VINs, including year, make, model, engine, transmission, color, and equipment details for US and Canada passenger cars and light-duty pickup trucks from 1981 to present. Targets software developers and product teams integrating vehicle data into automotive, dealer, rental, leasing, parking, and fleet applications. Returns up to 168 data items in Extended Data format over HTTP GET/POST with XML or JSON responses.
• VINfix API 2.0 RESTful API that combines two machine learning algorithms trained on the in-house VIN database using unsupervised learning, distance metrics, and cluster modeling to identify and suggest corrections for typographical errors in the 1st through 11th digits (including the checksum digit) of problematic VINs. Designed for software teams whose end-users routinely mistype or partially enter VINs in web or mobile applications.
• VINocr API 2.0 Deep-learning OCR RESTful API powered by TensorFlow 2.X and YOLO V4 that automatically preprocesses and extracts VIN strings from images of printed text on labels, receipts, invoices, and documents. Targets software developers building mobile or backend capture flows for automotive, insurance, auction, and inspection applications where users photograph printed VINs instead of typing them.
• VINbarcode API 2.0 RESTful barcode recognition API that decodes VINs encoded in Code 39 barcodes (USS Code 39 standards for both North American and European implementations) from images of vehicle labels and plates. Intended for software developers building VIN capture flows where VINs are printed as barcodes rather than as human-readable text.
• VMMR API 1.0 Deep-learning RESTful API powered by TensorFlow 2.x and YOLO V4 that classifies vehicles by make, model, body style, and generation from still images. Covers 43 makes and 659 models across US and Canadian markets, spanning 2010-2021 generations. Targets software developers in insurance, auction, used-car, and dealer applications that need to identify a vehicle from a photograph when a VIN is unavailable.
• LPR (License Plate Recognition) API 2.0 RESTful license plate recognition API built on TensorFlow 2.X and YOLO V4 that performs plate localization, character segmentation, OCR, and jurisdiction identification to convert license plate images into alphanumeric characters for USA and Canadian regions. Designed for parking management, access control, toll systems, and road traffic monitoring solution providers needing automated vehicle identification.
• DecisioQ API 1.0 Real-time decision intelligence RESTful API that combines mathematical optimization, multi-criteria decision analysis (MCDA), business rules, and explainable AI to rank alternatives and generate recommendations with confidence metrics. Supports TOPSIS, Weighted Scoring, and Analytical Hierarchy Process (AHP) methodologies with sensitivity analysis. Targets automotive software vendors and enterprises running rental allocation, leasing approval, fleet replacement, dealer inventory optimization, trade-in evaluation, and transportation provider selection workflows.

Quantifiable outcome

• 99.8% OCR accuracy for VIN characters meeting 25-pixel height specification
• +1 more outcomes

Segments5 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature7 records

Scale indicators3 records

Recent moves6 records

Expansion highlights4 records

Broad incumbents

• Geotab: Geotab is a large fleet telematics and vehicle data platform serving enterprise fleets. It overlaps with VINquery's vehicle rental/leasing segments for fleet decisioning and vehicle identification, though as a much broader incumbent.
• Experian Automotive (AutoCheck): Experian's automotive division offers VIN-based vehicle history and decisioning data to dealers, lenders, and fleet operators. It is a broad incumbent in the same vehicle data category that VINquery serves with VINdecode and DecisioQ.
• Carfax for Developers: Carfax is a dominant vehicle history brand that has expanded into API/data products for dealers, lenders, and developers. It competes on data depth (history records) rather than API-first pricing, but overlaps with VINquery's customer base.

Emerging players

• Smartcar: Smartcar offers an API for connected vehicle data (odometer, location, lock/unlock) targeting mobility and insurance apps. It is an emerging player in vehicle data APIs with a narrower connected-car focus compared to VINquery's broader VIN/computer vision suite.
• Motorq: Motorq provides a connected vehicle data platform for fleet management, telematics, and analytics. It overlaps with VINquery's fleet/leasing customer segments via DecisioQ but competes via a different data source (OEM telematics vs. VIN-based workflows).

Direct peers

• VinAudit: VinAudit provides affordable VIN decoding and vehicle history data via web and API, directly competing with VINquery's VINdecode API on price-sensitive developers and small-business buyers in the US market.
• Rekor Systems (OpenALPR): Rekor (formerly OpenALPR) provides license plate recognition and vehicle recognition software for parking, law enforcement, and smart city applications — directly overlapping with VINquery's LPR API and VMMR API use cases.
• Anyline: Anyline provides mobile OCR SDKs including VIN scanning for automotive aftermarket, dealerships, and insurance apps. It overlaps directly with VINquery's VINocr API in capturing VINs from printed documents and labels via mobile camera.
• Plate Recognizer: Plate Recognizer offers cloud-based and on-premise license plate recognition APIs for parking, tolling, and access control, positioning itself as an affordable LPR alternative to VINquery's LPR API for developers and integrators.
• DataOne Software: DataOne Software is a direct competitor offering VIN decoding, vehicle data, and automotive data APIs/SDKs to dealerships, OEMs, and developers — overlapping closely with VINquery's core VINdecode product and developer-first distribution.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about VINquery.com