Anapi vs Tookitaki

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Anapi employs 1-50 people, while Tookitaki has 100-500 employees.

Tookitaki has raised $20M in disclosed funding across 0 known rounds. Anapi's funding history is not publicly available.

Tookitaki holds the higher Awaira Score at 45/100, compared to Anapi's 30/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 15-point gap that reflects meaningful differences in scale or traction.

Anapi was founded by Raunak Mehta in 2018. Tookitaki was founded by Abhishek Chatterjee in 2014. 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. Tookitaki: Tookitaki builds AI anti-money laundering and financial crime compliance technology for banks and financial institutions, providing the Anti-Money Laundering Suite that uses machine learning to improve transaction monitoring accuracy, reduce false positive alert rates, and enhance suspicious activity detection across financial transaction data. The Singapore company also operates the Typology Repository, a community knowledge base of money laundering typologies that informs its ML model training.\n\nThe company raised approximately $20 million in venture funding from investors including Illuminate Financial, Jungle Ventures, and SBI Investment. Tookitaki serves regulated financial institutions in Asia-Pacific and the Middle East that face increasing AML regulatory pressure and high false positive rates from traditional rule-based transaction monitoring systems that generate large volumes of alerts requiring manual review. Reducing false positive rates is the primary commercial value proposition, as financial institutions spend billions annually on compliance analyst time reviewing unproductive alerts.\n\nTookitaki competes in the AML technology market against NICE Actimize, SAS AML, and Oracle Financial Services, as well as newer AI-native AML vendors including Quantexa and Featurespace. Its community typology repository approach differentiates it by incorporating human expert knowledge about money laundering methods into its ML training process, rather than relying exclusively on historical transaction labels that may miss novel laundering patterns. The Singapore base gives Tookitaki access to the concentrated regional banking hub and the MAS regulatory framework that supports fintech innovation.

Tookitaki was founded first in 2014, giving it 4 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 Tookitaki has approximately 100-500. 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 Tookitaki 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.