Rinki Singh Is Building The AI Trust Layer For Global Business

The Problem Is Fragmentation, Not Verification

Sectors that depend on verification stretch across banking, fintech, insurance, health care, HR technology, manufacturing, logistics, automotive, education, telecommunications, retail, travel, and property. Enterprises in these sectors need to check individual identities, business records, staff, suppliers, bank accounts, GST registrations, digital IDs, vehicles, real assets, and compliance documents. Most handle these checks through scattered point tools and custom API connections. Digizene collapses that stack. DigiVerification brings together verification APIs, AI, workflow automation, and conversational AI in one platform available via APIs, a dashboard, or an AI assistant. An AI Verification Bot lets users start verification with natural language prompts; the platform then executes workflows, pulls from trusted data sources, and returns structured insights, fraud alerts, compliance checks, and risk recommendations within seconds.

That product insight separates Singh from the pack. She explains that digital transactions now rest on verification, but enterprises still face fragmented tools and complicated integrations. Her vision is an AI-based trust infrastructure where enterprises can verify virtually anything through simple AI conversations. That claim is not marketing language; it is the platform’s architecture.

Funding With Global Ambition

On July 1, 2026, Digizene announced a pre-seed round backed by Arun Kar, an Odisha-born British entrepreneur. Kar did more than invest; he joined Digizene as co-founder, bringing global expertise in building international tech ventures. The Economic Times framed the move as Singh and Bhartendu Shandilya positioning Digizene for its next phase. The capital is earmarked for artificial intelligence research, enterprise product growth, and international expansion into the U.K., European markets, the Middle East, and Southeast Asia. Digizene plans to establish its first international base in the UK, which will serve as headquarters for European expansion.

This round is unusual because it arrives with a product already in market, a broad enterprise use case, and a co-founder whose network spans continents. It signals a shift from founder-led product to institution-backed platform.

The Product Moat Is in the Details

DigiVerification is not a thin wrapper. It includes a Property Verification Suite enabling banks, NBFCs, housing finance companies, law firms, and proptech firms to digitally confirm ownership records, encumbrances, land records, mutation records, property tax information, and legal due diligence in a single workflow. Across industries, key uses include digital onboarding, KYC, KYB, merchant onboarding, employee background screening, fraud prevention, loan origination, compliance, and risk assessment. Because these functions are exposed through APIs, a dashboard, and a conversational assistant, the platform reduces technology complexity, deployment time, and cost.

That depth turns verification from a cost centre into a strategic control point. A bank does not simply check a CIBIL score; it can run a merchant onboarding flow, a property legal check, and an employee background verification without leaving the same AI thread. That is the standard Singh is setting: verification as a unified service, not a stack of vendors.

The Operator Behind the Platform

Singh's entrepreneur journey is the reason the company’s product decisions look mature. At BharatEarns, Singh built a fintech platform that handles more than 100,000 transactions a month and was designed with Indian-language support and credit access for users without traditional property collateral. She also wrote “AI Unlocked: From Overwhelmed to Optimised,” a guide for small businesses adopting AI without replacing human judgment. The theme is consistent: use AI to remove friction, not to replace trust.

An India-Led TrustTech Export

India is a natural proving ground for verification infrastructure. It has a large digital payments environment, compulsory Aadhaar-based KYC requirements, and a rich public data stack. Singh is building for this environment first, then exporting the playbook. Digizene’s corporate registration in Noida dates to July 2024. Its expansion plan begins with the U.K. and then extends into European, Middle Eastern, and Southeast Asian markets. This is the reverse of the typical enterprise SaaS journey; rather than building in London or San Francisco and localizing for India, Singh is building in Delhi/NCR and taking the trust layer outward.

That reverse path matters because verification is not a commodity. It is a regulatory and cultural problem. Singh has spent years designing systems that work for small-town users, women entrepreneurs, and high-volume transactions in Indian languages. The global expansion of Digizene exports that inclusion instinct along with the technology.

The Standard Now

Singh has already arrived. She leads a company that has moved from idea to enterprise platform to funded international expansion in roughly two years. Her product touches the most sensitive layer of digital business-identity, money, property, compliance-and she has made that layer conversational. The next phase is not proof of concept. It is execution across borders. If digital transactions now depend on verification, as Singh contends, then she is building the spine for the next generation of global commerce-one AI conversation at a time.