Active.ai vs Anapi

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Active.ai employs 50-200 people, while Anapi has 1-50 employees.

Active.ai has raised $11M in disclosed funding across 0 known rounds. Anapi's funding history is not publicly available.

Active.ai holds the higher Awaira Score at 50/100, compared to Anapi's 30/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 20-point gap that reflects meaningful differences in scale or traction.

Active.ai was founded by Ravi Shankar in 2016. Anapi was founded by Raunak Mehta in 2018. Visit each company's profile on Awaira for a full founder biography.

Active.ai: Active.ai builds conversational AI solutions specifically for retail banking and financial services, enabling banks to deploy intelligent virtual assistants for account inquiries, transaction analysis, loan servicing, and customer onboarding through mobile and messaging channels. The platform is designed to integrate with core banking systems and comply with financial services regulations across multiple jurisdictions.\n\nThe company raised approximately $11M in Series A funding and counts regional banks, cooperative financial institutions, and digital neobanks among its customers in India and Southeast Asia. Active.ai's banking-specific NLP models are trained on financial domain terminology, reducing hallucination risk in regulated customer-facing interactions.\n\nThe digital banking transformation in India, accelerated by UPI and the JAM trinity, has created strong demand for AI-assisted banking interfaces that can serve the next 300 million users entering the formal financial system. Active.ai's banking-native design positions it as a credible alternative to expensive custom development or generic chatbot platforms that require extensive financial domain customization. Anapi: Anapi develops AI insurance underwriting automation for specialty and commercial lines, building machine learning tools that assist underwriters in risk assessment, pricing, and portfolio management by analysing structured and unstructured risk data to generate automated risk scores and flag underwriting considerations. The Singapore company targets insurance companies and managing general agents operating in Asia-Pacific markets seeking to modernise manual underwriting workflows.\n\nThe company is early stage with seed funding from Singapore-based technology investors and insurance industry angels. Anapi operates in the insurtech AI space, applying natural language processing to insurance submission documents and risk data to extract relevant risk information and compare it against historical loss experience to support more consistent and data-driven underwriting decisions.\n\nAnapi competes in the AI underwriting market alongside Cytora, Planck, and Cape Analytics, as well as the AI underwriting tools built by major reinsurers including Swiss Re and Munich Re. The commercial insurance underwriting process involves substantial manual document review and individual underwriter judgment that AI can augment through automated data extraction and risk pattern recognition. The Asia-Pacific commercial insurance market is growing rapidly as economic development increases demand for specialty covers in markets where insurance penetration has historically been lower than in Europe and North America.

Active.ai was founded first in 2016, giving it 2 years of additional market experience. Anapi was founded later in 2018. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Active.ai has approximately 50-200 employees, while Anapi has approximately 1-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

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