Anapi vs Perfios

Perfios has a disclosed valuation of $1B, while Anapi's valuation is not publicly available, making a direct size comparison difficult. Perfios employs 500+ people.

Perfios has raised $229M in disclosed funding across 0 known rounds. Anapi's funding history is not publicly available.

Perfios holds the higher Awaira Score at 90/100, compared to Anapi's 30/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 60-point gap that reflects meaningful differences in scale or traction.

Anapi was founded by Raunak Mehta in 2018. Perfios was founded by V R Govindarajan in 2008. Visit each company's profile on Awaira for a full founder biography.

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. Perfios: Perfios is a financial data aggregation and analytics platform that connects lenders, banks, and insurers with real-time financial data from bank statements, income tax returns, and account aggregator networks, enabling automated credit underwriting, fraud detection, and financial health assessment for retail and MSME lending. The platform processes tens of millions of financial data requests annually for a customer base spanning major banks, NBFCs, and fintech lenders.\n\nThe company raised approximately $229M in funding, achieving unicorn status, and has expanded beyond India into markets in Southeast Asia and the Middle East. Perfios serves over 900 financial institutions and has integrated with India's Account Aggregator framework, positioning itself as critical infrastructure for the country's open banking ecosystem.\n\nPerfios occupies a strategically valuable position in India's credit infrastructure — nearly every significant lender in the country uses its data analytics capabilities for loan decisioning. This embedded position across the lending stack creates strong network effects and switching costs that compound as the Indian credit market continues its rapid expansion.

Perfios was founded first in 2008, giving it 10 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.

Anapi has approximately 1-50 employees, while Perfios 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, Anapi and Perfios 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.