AIQ vs FarEye

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. AIQ employs 100-500 people, while FarEye has 500+ employees.

FarEye has raised $100M in disclosed funding across 0 known rounds. AIQ's funding history is not publicly available.

FarEye holds the higher Awaira Score at 68/100, compared to AIQ's 52/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 16-point gap that reflects meaningful differences in scale or traction.

AIQ was founded by Andrew Jackson in 2019. FarEye was founded by Kushal Nahata in 2013. Visit each company's profile on Awaira for a full founder biography.

AIQ: AIQ is a joint venture between ADNOC, the Abu Dhabi National Oil Company, and Group 42, applying AI and machine learning to energy sector operations including upstream exploration, refinery optimisation, predictive maintenance, and energy trading analytics. The company provides AI solutions specifically designed for the operational and business challenges of a large national oil company and its network of affiliated energy businesses across the ADNOC Group.\n\nJointly funded and owned by ADNOC and G42, AIQ operates within the ADNOC ecosystem as the dedicated AI technology platform for the group, with access to the operational data from ADNOC oil fields, refineries, and distribution infrastructure that provides training data for industrial AI models. The company has developed AI applications for drilling optimisation, pipeline inspection, and energy demand forecasting used across ADNOC operations.\n\nAIQ competes in the oil and gas AI market against Schlumberger, Halliburton, and C3.ai Energy, which provide AI solutions to energy sector operators globally. Its differentiation comes from the direct ADNOC operational access and integration depth that an arm length vendor relationship cannot match, enabling AI models trained on the actual operational data of one of the worlds largest oil companies. The joint venture structure reflects the trend of national oil companies building internal AI capabilities rather than relying entirely on international technology vendors for the AI systems that optimise their most strategically important assets. FarEye: FarEye is an AI-powered intelligent delivery management platform that helps enterprises, 3PLs, and retailers optimize last-mile delivery operations through real-time visibility, dynamic route optimization, carrier management, and customer experience orchestration. The platform processes delivery data across owned fleets and third-party carriers to predict delivery windows, reduce failed deliveries, and minimize operational costs.\n\nThe company raised approximately $100M in Series E funding from investors including Fundamentum, Eight Roads Ventures, and Saif Partners, and serves major global retailers, logistics providers, and courier companies across North America, Europe, and Asia. FarEye's customer list includes DHL, Walmart, and other top-tier enterprises with large-scale delivery operations.\n\nLast-mile delivery is the most expensive and complex segment of the supply chain, accounting for over 50% of total logistics costs for e-commerce operations. FarEye's AI platform addresses this cost and complexity challenge at scale, and its enterprise customer penetration across geographies demonstrates the global applicability of its delivery intelligence capabilities.

FarEye was founded first in 2013, giving it 6 years of additional market experience. AIQ was founded later in 2019. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

AIQ has approximately 100-500 employees, while FarEye has approximately 500+. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, AIQ and FarEye are direct competitors — both operate in the Enterprise AI space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.