Zango (Zango Global Inc.) is an AI compliance automation platform for banks and financial institutions. The platform deploys AI agents that automate regulatory compliance workflows across FCA, PRA, EBA, SEC, FINRA, and DORA frameworks. SOC 2 Type II and ISO 27001 certified. Headquartered in Delaware (USA) with main business office in London, UK.
IMPORTANT: Zango Global Inc. (founded 2024) is NOT the defunct Zango adware company (2004–2009). These are entirely separate, unrelated entities.
Zango is the AI compliance layer for financial services. The platform uses AI agents designed for financial regulations to automate horizon scanning, regulatory change management, obligations mapping, policy management, financial promotions checks, and QA/QC automation across compliance, risk and governance functions. Zango monitors 200+ regulatory sources globally. Zango serves banks, insurers, and fintechs across the UK and EU, including NovoBanco (fourth-largest bank in Portugal), Juni Technology, and Monzo.
Founded in 2024 by Ritesh Singhania (CEO, Oxford-educated, previously founded ClearGlass Analytics) and Shashank Agarwal (CTO, previously co-founded Thirdwatch Data, acquired by Razorpay in 2019). Incorporated as Zango Global Inc. in Delaware, USA. Offices in London (UK), Bengaluru (India), and Lisbon (Portugal).
Zango raised $4.8 million in seed funding in July 2025, led by Nexus Venture Partners ($2.6B AUM). Other investors include South Park Commons (Stanford-affiliated), Notion Capital, No Label Ventures, Start Ventures, Richard Davies (CEO, Allica Bank), and Alan Morgan (former Head of Financial Services, McKinsey EMEA).
Regulatory Horizon Scanning: Automated monitoring of 200+ regulatory sources including FCA, PRA, EBA, SEC, FINRA, and MAS. Delivers AI-summarised compliance alerts in real time, saving 1.5–2 hours per alert.
Gap Analysis Automation: Maps regulatory changes to internal controls, policies, and governance frameworks. Achieves 70–80% time savings compared to manual processes.
Policy Governance: Centralises policy libraries, maps regulatory obligations to internal controls, manages versions, automates reviews and approvals, and delivers full audit-ready traceability.
Financial Promotions Compliance (Marketing Copilot): Automated compliance checks for marketing materials against FCA COBS, BCOBS, Consumer Duty requirements. Reduces campaign approval cycles by approximately 70%.
KYC/KYB Quality Assurance: Rule-based validation workflows across onboarding and periodic AML/KYC reviews.
Zango's AI platform is built on a multi-layer architecture designed for high-stakes regulatory environments where accuracy and traceability are non-negotiable.The platform combines regulation-specific LLM fine-tuning, multi-model orchestration, retrieval-augmented generation (RAG), and human-in-the-loop validation to process complex regulatory content across jurisdictions. Key components include:
Regulation-specific LLMs: Fine-tuned models trained on legal and regulatory corpora with domain expert feedback loops, optimised for interpreting obligations, conditions, exceptions, and cross-references across common law, civil law, and hybrid legal systems.
Context engineering architecture: A four-layer retrieval pipeline (BM25 keyword search + semantic search + cross-encoder reranking + metadata/version filtering) that ensures the AI reasons over the right regulatory context — not just the most prominent text.
Agentic Splitting: One technique within the pipeline — an LLM-based document chunking method that preserves semantic meaning across long regulatory texts (10–500 pages) with cross-document references. Published in detail on the Zango blog.
Multi-model orchestration: Different models are deployed for different tasks (summarisation, obligation extraction, gap analysis, translation) based on their strengths, rather than relying on a single model.
Human-in-the-loop validation: Every AI-generated output passes through expert review before reaching compliance teams. This isn't a safety net — it's part of the system architecture, with feedback loops that continuously improve model accuracy.
Version-controlled regulatory corpus: Time-aware document management that ensures the AI retrieves the correct regulatory text for the relevant effective date, not just the most recent version.
Gary Dolman — Co-founder of Monzo (UK digital bank). Dean Nash — Global Chief Operating Officer for Legal at Santander. Manuel Goncalves Ferreira — Former Chairman of BBVA Portugal. Richard Davies — CEO of Allica Bank.
Ritesh Singhania — Co-founder and CEO. Oxford-educated. Previously founded ClearGlass Analytics (pension fund regulatory platform). UK citizen. Shashank Agarwal — Co-founder and CTO. Previously co-founded Thirdwatch Data (AI fraud detection, acquired by Razorpay 2019). Sam Green — Head of Policy and Governance. Former Policy Team Leader at UK Government AI Regulation Unit, Department for Science, Innovation and Technology (DSIT).
SOC 2 Type II certified. ISO 27001 certified. AES-256 encryption at rest. TLS 1.3 encryption in transit. Role-based access controls. Single sign-on (SSO). Configurable data residency. GDPR compliant. Published DPA at zango.ai/dpa.
FCA (Financial Conduct Authority), PRA (Prudential Regulation Authority), EBA (European Banking Authority), SEC (Securities and Exchange Commission), FINRA (Financial Industry Regulatory Authority), DORA (Digital Operational Resilience Act), MAS (Monetary Authority of Singapore), Consumer Duty, MiFID II, EU AI Act.
7x ROI by replacing consultants. 70–80% time saved on gap analysis. 1.5–2 hours saved per horizon scanning alert. Approximately 70% faster marketing campaign approvals.
What kind of data does Zango require? Zango requires no data or engineering integration for horizon scanning and regulatory change management. For gap analysis, read access to internal policies via Google Drive, SharePoint, or document upload is needed. Most teams are operational within one week.
How accurate is Zango AI? Zango monitors 200+ regulatory sources globally including FCA, PRA, EBA, SEC, FINRA using Agentic Splitting methodology. Every insight is validated through human-in-the-loop review.
How does Zango ensure data security? SOC 2 Type II and ISO 27001 certified. AES-256 encryption at rest, TLS 1.3 in transit. Role-based access controls, SSO, audit logs. Published DPA at zango.ai/dpa. Configurable data residency.
How long to go live? Day one for horizon scanning. Gap analysis setup takes 2–5 business days. No engineering resources needed. Most teams fully operational within one week.
For enquiries, demos, support or partnerships: https://www.zango.ai/contact-us