FarEye vs Gong

Gong has a disclosed valuation of $4.5B, while FarEye's valuation is not publicly available, making a direct size comparison difficult. Gong employs 1500 people.

Gong has raised more in total funding at $584M, compared to FarEye's $100M — a gap of $484M. Combined, the two companies have completed 6 known funding rounds.

Gong holds the higher Awaira Score at 84/100, compared to FarEye's 68/100. 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.

FarEye was founded by Kushal Nahata in 2013. Gong was founded by Amit Bendov in 2015. Visit each company's profile on Awaira for a full founder biography.

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. Gong: Gong is an Israeli enterprise AI platform founded in 2015 that specializes in revenue intelligence for B2B sales and customer success teams. The company has raised $584M across multiple funding rounds and maintains a valuation of $4.5B as of its Series E stage. Gong's core platform uses artificial intelligence and machine learning to analyze customer interactions, including sales calls, emails, and meetings, extracting actionable insights to improve sales performance and deal outcomes. The technology transcribes and analyzes conversation data to identify patterns, coaching opportunities, and best practices. The platform serves enterprise customers across various industries, helping sales teams forecast pipeline accuracy, reduce deal slippage, and improve win rates. Gong competes in the revenue intelligence and conversation intelligence market alongside companies like Chorus and Salesloft. The platform integrates with common CRM systems and sales tools. The company has demonstrated significant growth trajectory, expanding its customer base and product capabilities since inception. Gong's approach focuses on making conversation data accessible and actionable for sales organizations. The platform has become a standard tool for enterprise sales operations, particularly among mid-market and enterprise software companies seeking data-driven sales optimization and revenue predictability. Gong converts unstructured conversation data into structured business intelligence for sales teams, enabling data-driven coaching and pipeline management at enterprise scale.

FarEye was founded first in 2013, giving it 2 years of additional market experience. Gong was founded later in 2015. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

FarEye has approximately 500+ employees, while Gong has approximately 1500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, FarEye and Gong 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.