Sardine AI vs Tookitaki

Sardine AI has a disclosed valuation of $660M, while Tookitaki's valuation is not publicly available, making a direct size comparison difficult. Sardine AI employs 150 people.

Sardine AI has raised more in total funding at $145M, compared to Tookitaki's $20M — a gap of $125M. Combined, the two companies have completed 3 known funding rounds.

Sardine AI holds the higher Awaira Score at 63/100, compared to Tookitaki's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 18-point gap that reflects meaningful differences in scale or traction.

Sardine AI was founded by Soups Ranjan in 2020. Tookitaki was founded by Abhishek Chatterjee in 2014. Visit each company's profile on Awaira for a full founder biography.

Sardine AI: Sardine AI is a fraud detection and prevention platform founded in 2020 that uses artificial intelligence and machine learning to identify and mitigate financial fraud in real time. The company operates in the AI Finance category, providing risk intelligence solutions primarily for financial services, fintech, and payment companies. Sardine's core technology leverages behavioral biometrics, device intelligence, and transaction analysis to detect fraudulent activities across digital channels including mobile and web platforms. The platform integrates with payment processors and financial institutions to monitor transactions and user behavior patterns, flagging suspicious activities before fraud occurs. Sardine has secured $145M in total funding and achieved a valuation of $700M as of its Series C funding round, indicating significant investor confidence in its market opportunity. The company competes within the crowded fraud prevention landscape against established players and emerging fintech security solutions. Sardine's approach combines rule-based systems with machine learning models to adapt to evolving fraud tactics. The company serves financial institutions, payment networks, and digital banks seeking to reduce fraud losses while maintaining user experience. Notable adoption includes implementations across multiple major financial services organizations, though specific customer counts remain undisclosed. Sardine's growth trajectory reflects broader demand for AI-driven fraud prevention as digital transactions and sophisticated fraud schemes proliferate globally. Sardine AI combines behavioral biometrics with transaction intelligence to deliver real-time fraud detection specifically optimized for fintech and digital banking environments. 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 6 years of additional market experience. Sardine AI was founded later in 2020. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Sardine AI has approximately 150 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, Sardine AI 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.