TechSee vs Intello Labs

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. TechSee employs 100-500 people, while Intello Labs has 50-200 employees.

TechSee has raised more in total funding at $96M, compared to Intello Labs's $10M — a gap of $86M.

TechSee holds the higher Awaira Score at 63/100, compared to Intello Labs's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 8-point gap that reflects meaningful differences in scale or traction.

TechSee was founded by Eitan Cohen in 2015. Intello Labs was founded by Abhishek Middha in 2016. Visit each company's profile on Awaira for a full founder biography.

TechSee: TechSee builds computer vision AI for customer service automation, enabling contact center agents and self-service workflows to use smartphone cameras for remote visual assistance, product recognition, and guided troubleshooting. The Tel Aviv company platform allows customers to point cameras at devices, appliances, or technical problems while AI models identify the product, diagnose issues, and guide resolution steps, replacing truck rolls and in-person service visits with AI-assisted remote resolution.\n\nThe company raised approximately $96 million in venture funding including a Series C from investors including Scale Venture Partners and Salesforce Ventures. TechSee counts several of the largest telecommunications operators, insurance companies, and consumer electronics manufacturers among its clients, deploying visual assistance across customer onboarding, technical support, and field service applications. The platform integrates with contact center platforms including Salesforce Service Cloud, Genesys, and Nice inContact.\n\nTechSee competes in the visual assistance and AI-powered field service market alongside Aquant, ServiceMax, and traditional remote assistance tools augmented with AI capabilities. The value proposition centres on deflecting costly truck roll visits in telecommunications and utilities, where physical service dispatch costs hundreds of dollars per visit, and on reducing handle time in contact centers where agents must verbally diagnose problems they cannot see. Remote visual AI assistance has gained adoption as broadband connectivity and smartphone camera quality have made camera-based troubleshooting reliable in consumer and enterprise service scenarios. Intello Labs: Intello Labs develops computer vision AI solutions for agricultural quality assessment and food supply chain automation, enabling buyers, processors, and retailers to grade the quality of fresh produce, grains, and perishable goods using smartphone cameras or fixed imaging stations connected to AI analysis models. The platform delivers objective quality measurements that replace subjective visual inspection in procurement, warehouse intake, and retail shelf management.\n\nThe company raised approximately $10M in Series A funding and has deployed its computer vision quality grading systems at agricultural procurement centers, cold chain warehouses, and food retail chains across India. Intello Labs has built proprietary image datasets covering hundreds of agricultural commodities at varying quality grades that serve as training data for its vision models.\n\nFood quality standardization is a persistent challenge in India's agricultural supply chain, with inconsistent grading causing significant economic losses and trade disputes between buyers and sellers. Intello Labs' AI-powered objective quality measurement addresses this market inefficiency with a mobile-accessible solution that does not require specialized hardware or technical expertise to operate.

TechSee was founded first in 2015, giving it 1 year of additional market experience. Intello Labs was founded later in 2016. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

TechSee has approximately 100-500 employees, while Intello Labs has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, TechSee and Intello Labs are direct competitors — both operate in the Computer Vision space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.