Global telematics platform processing 100B daily data points from 5M+ vehicles
Geotab operates a large-scale connected vehicle platform serving 55,000+ customers including Fortune 500 fleets and US Federal agencies. The tech stack reveals a dual-track engineering strategy: embedded systems (C, RTOS, Embedded Linux) power the vehicle-side hardware layer, while cloud infrastructure (GCP, BigQuery, Python, Kubernetes) handles massive centralized data ingestion and analytics. Active adoption of LangChain, AutoGen, and Gemini signals a pivot toward generative AI features, likely for driver insights and optimization. Engineering-heavy hiring (38 roles) with notable leadership gaps in embedded and software development suggests scaling distributed teams across nine countries.
Notable leadership hires: Embedded Development Team Lead, Software Development Lead
Geotab is a telematics provider headquartered in Oakville, Ontario with a second hub in Atlanta. The platform ingests real-time GPS and vehicle diagnostics from 5+ million connected devices, processes 100 billion data points daily, and surfaces analytics and compliance features through its myGeotab and Drive applications. The customer base spans Fortune 500 logistics operators, mid-market fleets, and public-sector agencies. The company holds FedRAMP and FIPS 140-3 certifications and offers an open ecosystem (Geotab Marketplace) for third-party integrations. Recent focus areas include routing and optimization, driver safety improvements, and an internal ML/generative AI platform.
Embedded systems layer uses C, C++, Embedded Linux, and RTOS. Cloud processing runs on GCP and BigQuery with Python, Apache Airflow, and Kubernetes. Real-time features use Kafka-adjacent patterns. AI components: LangChain, AutoGen, Gemini, and ChatGPT.
Active projects include real-time data processing improvements, AI platform infrastructure, routing and optimization applications, compliance feature development for mobile apps, internal ML/generative AI platform, and integrated marketing campaigns. Retention and ARR growth remain operational priorities.
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