Deep Algorithms Solutions, a next-generation cybersecurity and artificial intelligence (AI) startup focused on fraud prevention within digital financial ecosystems, has raised ₹10.8 crore in seed funding. The round was led by Unicorn India Ventures, underscoring growing investor interest in AI-powered security platforms.
Founded in December 2021 by JP Mishra, Deep Algorithms is leveraging advanced AI models to build proactive fraud detection solutions tailored for the evolving needs of financial institutions and enterprises. The company’s flagship product, adapIDAI, is an AI-driven adaptive behavioral identity platform that analyzes user-specific interaction patterns—such as finger pressure, typing cadence, and device grip—to detect anomalies and prevent fraudulent activity with high accuracy.
The company’s second core offering, BotShield, functions as a real-time digital firewall, designed to protect enterprise websites and applications from a wide range of cyber threats. These include bot-driven traffic attacks, fake user activity, malware infiltration, and other forms of digital fraud that commonly target financial systems and high-traffic platforms.
With the new infusion of capital, Deep Algorithms plans to scale its engineering and threat intelligence teams, accelerate its go-to-market initiatives across India and Southeast Asia, and enhance integration capabilities with enterprise-grade platforms.
The startup’s technology is already in active deployment with clients such as DCB Bank and the National Capital Region Transport Corporation (NCRTC). Deep Algorithms is currently incubated at prestigious institutions including IIIT Hyderabad, IIT Mandi, and IIT Kanpur, which have played a key role in supporting its R&D and product development initiatives.
Looking ahead, the company aims to expand its presence across India’s BFSI hubs, including Mumbai and Bengaluru, while also entering global markets such as Kenya, South Africa, and the United Arab Emirates—all of which present significant opportunities in digital fraud management.
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