Company profile

Rekor

AI-driven roadway intelligence for mobility data collection and analysis.

rekor.aiProfile compiled July 202620 source pages read
Category
Computer vision
Headquarters
Columbia, Maryland, USA
Sells to
Government
Business model
SaaS subscription, Usage-based API, Hardware, Services & consulting
Deployment
Cloud / SaaS, Edge, API
Pricing
Subscription · from $39/mo
Builds own models
Yes
Modalities
Video, Sensor

Rekor Systems, Inc. collects, connects, and organizes the world's mobility data using Artificial Intelligence to deliver revolutionary roadway intelligence. The company provides best-in-class roadway intelligence accessible across the globe, leveraging comprehensive data sourcing and innovative technology solutions. Rekor's software platforms and hardware systems are purpose-built to deliver intelligent insights for government and commercial sectors, enabling them to implement a digital infrastructure layer for true roadway intelligence. Rekor's approach to AI emphasizes ethical use, data privacy, and human oversight, ensuring security and anonymity while delivering valuable traffic insights without exposing PII. The company's solutions are built on and enhanced by Amazon Web Services (AWS), ensuring scalability, security, and optimal performance.

  • Rekor DiscoverAutomates the capture of comprehensive traffic and vehicle analytics for transformative insights, urban mobility, and traffic analysis. It fully automates the safe capture of FHWA 13 vehicle classifications, vehicle counts, and speed utilizing high-resolution video streams to deliver ground truth studies.
  • Rekor CommandIdentifies affecting events and highlights zones at risk to create better roads. It's an AI-driven platform that provides Transportation Management Centers with a rapid and holistic view of what is happening on the roadways, delivering actionable alerts for more incidents at greater speed.
  • Rekor ScoutDetects license plates and vehicles with characteristics and pinpoints location for public safety. It enables accurate LPR and vehicle recognition on nearly any IP camera, providing investigative tools to law enforcement agencies and integrating with third-party software applications.
  • Rekor AutoNotice™A cloud-based contactless compliance solution providing complete violation identification and notice management. It leverages data captured by Rekor Edge Series systems to detect vehicles in violation of road regulations and laws, automating notice generation, printing, and mailing.
  • Rekor Edge ProA mountable AI-powered recognition system optimized for neighborhoods and business districts, with a 75 ft capture distance, 1 lane of coverage, and 45 mph capture speed. It provides highly accurate license plate and vehicle recognition.
  • Rekor Edge MaxA fixed AI-powered recognition system for primary roads and highways, with a 300 ft capture distance, 3 to 6 lanes of coverage, and 120 mph capture speed. It's also used for continuous traffic studies and ALPR.
  • Rekor Edge FlexA portable AI-powered recognition system for temporary traffic studies, with under 30-minute setup, up to 6 lanes of coverage, 100 ft capture distance, and battery power. It captures FHWA 13 classifications, vehicle counts, and speed.
  • Rekor CarCheck® APIA web-based API service that utilizes ALPR and vehicle recognition to analyze still images of vehicles and respond with plate number, state of issuance, vehicle make, model, color, and orientation. It's available as a REST-based API for simple integration.
  • Rekor TrafficSightA tool for traffic analysis, turning video into traffic data with no new hardware.
  • Rekor Traffic ServicesOffers traffic data collection services using both traditional and AI-based approaches, including AI-powered video detection, radar/Lidar sensors, magnetometers, piezoelectric sensors, inductive loop sensors, and pneumatic road tubes.
  • Vehicle Recognition SDKAllows integration of LPR and vehicle recognition into applications with direct access to Rekor's robust APIs.
  • ALPR APIAn API for automated license plate recognition.
  • Incident Detection APITransforms disparate data into real-time actionable insights for transportation agencies, enabling seamless integration of incident data into various systems. It uses a data fusion engine and AI enrichment engine to turn fused data into actionable insights.
  • AI-driven insights
  • Comprehensive data sourcing (proprietary and third-party)
  • Machine learning for signal processing
  • Global footprint
  • Scalable cloud infrastructure (AWS)
  • Real-time incident detection and alerts
  • Automated license plate recognition (ALPR)
  • Vehicle recognition (make, model, color, orientation)
  • Contactless compliance solutions
  • Automated notice generation and mailing
  • Visual verification of detections (image and video)
  • Time-stamping and GPS coordinates for detections
  • Dynamically updating violator databases
  • Adjustable payment and dispute lifecycle
  • Exportable reports for compliance tracking
  • User-friendly dashboards
  • AI-powered edge processing
  • FHWA 13-bin classification
  • Traffic impact analysis
  • Origin & destination studies
  • Travel time studies
  • Occupancy studies
  • Manual classification
  • Intersection improvements
  • Data export in TMG formats (.PRN, .CSV, .PDF)
  • REST API for data access and integration
  • Secure hardware (firewalls, anomaly detection, access control, penetration testing)
  • NDAA & TAA Compliant hardware
  • Cloud security (encryption at rest and in transit, compliance, automated auditing, DDoS protection)
  • AI-driven threat detection
  • Human oversight and accountability for AI outputs
  • Privacy by Design (anonymization of personal data, zero-trust framework)
  • SOC 2 compliance
  • NIST 800-53 compliance
  • ISO 27001 compliance
  • OAuth2 (JSON Web Token) or Basic Authentication for API access
  • Capture comprehensive traffic and vehicle analytics
  • Identify affecting events and highlight zones at risk for road safety
  • Detect license plates and vehicles for public safety
  • Contactless compliance for road regulations and laws
  • Improve transportation management
  • Automate manual processes for public officials
  • Enable contactless compliance for public officials
  • Improve traffic analysis reports
  • Equip officers with intelligent solutions to close cases faster
  • Improve public safety and investigations
  • City planning and smart city infrastructure
  • Automate business processes and improve efficiency
  • Real-time incident alerting for traffic control centers and FSP staff
  • Streamlined incident log reporting
  • Statistical information for traffic management
  • Temporary traffic studies
  • Continuous traffic studies
  • Automated FHWA reporting
  • Traffic impact analysis
  • Origin & destination studies
  • Travel time studies
  • Occupancy studies
  • Average Daily Traffic Counts
  • Turning Movement Counts
  • Gap Studies Data
  • Radar Data Collection
  • Video Collection for traffic flow and parking analysis
  • Bluetooth Data Collection for travel times and patterns
  • Crash Diagrams for accident analysis
  • Asset Inventory for transportation infrastructure
  • Integrated Corridor Management Systems
  • Transportation Technologies for Resilient Operations (evacuation, emergency response)
  • Vision Zero Implementation and Planning (eliminating traffic fatalities)
  • Law Enforcement and Investigations (apprehension of offenders)
  • Real-Time Crime Center (RTCC) integration
  • Analyzing images of vehicles for plate and vehicle characteristics
  • Integrating LPR and vehicle recognition into existing software systems
  • Detecting and filtering incidents in rural and urban areas
  • Triggering automated actions (navigation app programming, traffic signaling control)
  • Dispatching Traffic Incident Management (TIM) efforts

Rekor uses AI and machine learning to collect, connect, and organize mobility data for roadway intelligence. Their solutions include AI-powered systems for traffic data collection, license plate and vehicle recognition, and incident detection. They emphasize ethical AI use, data privacy, and human oversight, and build their own models for various applications like real-time incident detection and vehicle classification.

Tech named: Artificial Intelligence, machine learning, AI-powered edge processing, AI-driven threat detection, AI enrichment engine, data fusion engine, SHA-256

  • Software Development
  • Government
  • Law Enforcement
  • Engineering
  • Commercial Business
  • Transportation Department
  • Public Safety
  • Collects, connects, and organizes the world's mobility data using AI
  • Proprietary and third-party data sourcing for comprehensive insights
  • Innovative technology and solutions that complement existing workflows
  • Purpose-built software platforms for government and commercial sectors
  • Ethical AI use with data privacy and human oversight
  • Built on and enhanced by Amazon Web Services (AWS) for scalability and security
  • Stringent security standards and numerous compliance certifications (SOC 2, NIST 800-53, ISO 27001)
  • Non-intrusive video-based camera systems designed to withstand cyber and physical threats
  • AI-driven threat detection and privacy by design
  • Ability to integrate with existing software (Drakewell, MS2) and provide data via REST API
  • Extensive experience in traffic data collection (30+ years)
  • Rapid deployment schedule with large inventory of devices and skilled technicians
  • Outperformed competitors in ALPR accuracy, alert times, and search capabilities (e.g., make and model search)
  • User-friendly, web-based software platforms that are easy to learn and use
  • Focus on real-time, actionable insights from fused disparate data sets
  • Offers funding application assistance for grants

This profile was compiled from Rekor's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.