Dataloop vs C5i

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Dataloop employs 100-500 people, while C5i has 500+ employees.

Dataloop has raised more in total funding at $49M, compared to C5i's $30M — a gap of $19M.

C5i holds the higher Awaira Score at 58/100, compared to Dataloop's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 3-point gap that reflects meaningful differences in scale or traction.

Dataloop was founded by Eran Shlomo in 2017. C5i was founded by Sachins Gupta in 2008. Visit each company's profile on Awaira for a full founder biography.

Dataloop: Dataloop builds an AI data management and annotation platform that covers the full data pipeline for computer vision and NLP model development, combining data labelling tools, annotation workflow management, quality assurance automation, and model training integration in a single platform. The Tel Aviv company targets AI teams at enterprises and AI product companies that need to manage large-scale data labelling operations with quality controls and annotator workforce management.\n\nThe company raised approximately $49 million including a Series B round from investors including Viola Ventures and Samsung Next. Dataloop counts enterprise AI teams in automotive, retail, and agriculture verticals among its clients, with the platform used for large-scale computer vision dataset creation including bounding box annotation, semantic segmentation, and polygon annotation for object detection model training. The platform supports human-in-the-loop annotation workflows where model predictions are reviewed and corrected by human annotators to improve efficiency.\n\nDataloop competes in the data annotation and management market alongside Scale AI, Labelbox, Encord, and V7, as well as annotation services providers. The market has evolved from pure annotation tooling toward platforms that combine labelling with dataset management, model evaluation, and active learning capabilities. Dataloop positioning as a full data management platform rather than a labelling tool aims to capture more of the AI development workflow and reduce customer dependency on multiple point solutions across the data pipeline. C5i: C5i is an AI-powered analytics and consumer intelligence company that combines data science, market research, and business intelligence capabilities to help enterprises understand consumer behavior, market dynamics, and operational performance through integrated AI analytics platforms. The company serves clients across CPG, retail, financial services, and technology sectors in India and globally.\n\nThe company raised approximately $30M in growth funding and has built a team exceeding 500 professionals combining data scientists, research analysts, and technology engineers. C5i's hybrid model of AI-powered analytics combined with domain expert interpretation differentiates it from pure technology platforms in the market research and BI consulting space.\n\nThe analytics services market in India is large and fragmented, with significant demand from multinational corporations operating in India and Indian conglomerates building data-driven decision capabilities. C5i's long operating history and deep sector expertise give it credibility with large enterprise buyers who require both technical rigor and business context in their analytics partnerships.

C5i was founded first in 2008, giving it 9 years of additional market experience. Dataloop was founded later in 2017. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Dataloop has approximately 100-500 employees, while C5i 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, Dataloop and C5i are direct competitors — both operate in the AI Data space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.