Intello Labs vs Megvii

Megvii has a disclosed valuation of $4B, while Intello Labs's valuation is not publicly available, making a direct size comparison difficult. Megvii employs 1000+ people.

Megvii has raised more in total funding at $1.4B, compared to Intello Labs's $10M — a gap of $1.4B. Combined, the two companies have completed 6 known funding rounds.

Megvii leads with an Awaira Score of 80/100, while Intello Labs sits at 55/100. That 25-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Intello Labs was founded by Abhishek Middha in 2016. Megvii was founded by Yin Qi in 2011. Visit each company's profile on Awaira for a full founder biography.

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. Megvii: Megvii develops computer vision AI systems under its Face++ brand, producing facial recognition, human body analysis, and object detection technologies deployed in financial services authentication, smart city surveillance, retail analytics, and industrial quality control across China and international markets. The Beijing company also develops AI chips for edge inference through its Megvii Hardware division, pursuing vertical integration from algorithms to hardware.\n\nThe company raised approximately $1.4 billion in private funding from investors including Alibaba Group, CITIC Private Equity, and Bank of China Group Investment, reaching a valuation of approximately $4 billion at peak private market pricing. Megvii filed for an IPO on the Hong Kong Stock Exchange but withdrew its application following placement on the US Entity List in 2019, which restricted its access to US technology suppliers. The company continues to operate as a private company with revenues from government and enterprise deployments in China.\n\nMegvii competes with SenseTime, Hikvision, and Dahua in the Chinese computer vision and surveillance AI market, with all four companies facing US Entity List restrictions due to involvement in facial recognition deployments cited for human rights concerns. Domestically, Megvii holds significant market share in facial recognition-based access control, financial authentication, and city management applications. The company research division maintains a strong publication record and has released open-source models including the MegEngine deep learning framework.

Megvii got there first, launching in 2011 — that's 5 years of extra runway. Intello Labs didn't arrive until 2016. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Intello Labs has about 50-200 employees; Megvii has about 1000+. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Intello Labs and Megvii compete in Computer Vision, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.