Zango Raises $4.8M to Revolutionize Financial Compliance with AI Agents

Reviewed byNidhi Govil

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Zango, an AI-powered regulatory compliance startup, secures $4.8 million in funding to transform how financial institutions manage regulatory requirements using agentic AI.

Zango Secures $4.8M Funding for AI-Powered Compliance Solution

Zango, a regulatory technology startup, has successfully raised $4.8 million in a seed funding round led by Nexus Venture Partners. The funding also saw participation from South Park Commons, Notion Capital, No Label Ventures, and Start Ventures, along with angel investors including Richard Davies, CEO of Allica Bank, and Alan Morgan, former head of Financial Services at McKinsey (EMEA)

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Revolutionizing Financial Compliance with AI

Source: SiliconANGLE

Source: SiliconANGLE

Founded in 2024 by Ritesh Singhania and Shashank Agarwal, Zango aims to modernize how financial institutions manage regulatory requirements. The startup utilizes regulation-specific large language models (LLMs) and AI agents to automate compliance tasks that are traditionally handled through manual reviews and spreadsheet-heavy workflows

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Zango's AI agents are designed to:

  1. Continuously read and interpret regulations
  2. Flag compliance gaps in real-time
  3. Keep businesses audit-ready
  4. Integrate compliance checks directly into daily operations

This approach transforms compliance from a reactive, manual process into a "real-time, strategic advantage" for financial institutions

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Impressive Time and Cost Savings

The effectiveness of Zango's solution is exemplified by a case where a bank reduced its regulatory activity workflow time from 48 hours to just 4 hours using the platform

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. This significant time saving demonstrates the potential for AI to streamline compliance processes and reduce costs in the financial sector.

Current Adoption and Future Expansion

Zango's tools are already being used by established banks and fintech companies across Europe and the United Kingdom, including:

  • Novo Banco SA (Portugal's fourth-largest bank)
  • Monzo Bank Ltd (UK)
  • Juni Technology AB (EU)

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Sabina Ausfelt, head of compliance at Juni, praised the platform, stating, "For horizon scanning, Zango is a game-changer. The platform's current and future modules are set to revolutionize the second line of defense work in regulated industries like ours"

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Founders' Expertise and Vision

Source: Economic Times

Source: Economic Times

Both co-founders bring significant experience to Zango:

  • Ritesh Singhania previously founded ClearGlass, a pension compliance platform, and served as head of technology at Simplitium

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  • Shashank Agarwal co-founded Third Watch, an AI-powered fraud detection startup acquired by Razorpay, and led trust and compliance engineering at PhonePe

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Singhania emphasized the company's approach, saying, "We don't sell a platform -- we sell a solution. Our AI agents are paired with humans-in-the-loop to ensure 100% accuracy"

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Future Plans and Market Potential

With the new funding, Zango plans to:

  1. Expand its teams in London and Bengaluru
  2. Build out additional product modules for AI-native governance risk and compliance solutions
  3. Extend its offerings into other financial services verticals, including insurance and asset management

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The potential market for Zango's solution is significant, with the annual costs of financial crime compliance in the UK alone totaling around $52 billion in 2024

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. As businesses seek ways to reduce labor costs while improving compliance efficiency, AI-powered solutions like Zango's are well-positioned to meet this growing demand.

Source: PYMNTS

Source: PYMNTS

Competitive Landscape

In the global compliance solutions space, Zango competes with companies like Sprinto, Vanta, and Drata. In India, Yellow.ai, Haptik, and RevRag.ai are among the AI-powered platforms automating workflows for the BFSI sector

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. However, Zango's focus on regulation-specific AI agents and its early traction with major financial institutions set it apart in this competitive landscape.

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