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        Case ID :

        LUMIQ Raises INR 50 Crore Pre-Series B to Become the AI Decision Layer for Financial Services

        June 19, 2026

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        While most AI in financial services remains advisory, LUMIQ has built the layer that owns the decision — autonomous, auditable AI agents making regulated calls in production at leading banks, insurers, and capital markets firms. Today, LUMIQ serves clients across India, the United States, and Southeast Asia — leading institutions across insurance, banking, and capital markets.
        NEW DELHI and MUMBAI, India, June 19, 2026 /PRNewswire/ -- LUMIQ, an AI-native financial services company, today announced a strategic funding round to scale auto-decisioning for financial institutions across the United States and Southeast Asia. The round was led by Bajaj Finserv, one of India's largest and most diversified financial services groups, with participation from existing investor Info Edge Ventures.




        Right now, thousands of customers are waiting for a policy to be issued, a loan to be disbursed, a claim to be adjudicated, because somewhere an FSI employee is drowning in decisions, held back by the risk of getting it wrong. Today, when e-commerce delivers the same day, banks and insurers still decide in weeks. We built LiteCone to take that burden: AI decides the routine cases, completely and accountably, so humans spend their judgment on the one case that actually needs it. This round lets us bring that to every financial institution in the markets that matter most.

        Shoaib Mohammad, Co-founder and CEO, LUMIQ
        From AI that assists to AI that decides
        For decades, financial institutions have bought technology that made their people faster — faster data, faster scoring, faster copilots. The decision still landed on a human. LUMIQ is changing that. Through its LiteCone platform, the company deploys AI agents that read the file, apply the institution's own guidelines, and reach the decision end to end — escalating only the cases that genuinely require human judgment. The output is not a recommendation. It is a decision, with full reasoning attached, cross-referenced to policy, and defensible under audit.


        The results in production speak clearly. At a leading life insurer, LUMIQ's LEO agent decides 75–80% of underwriting cases with zero human touch, reduced policy issuance cost by roughly 25%, and compressed turnaround from days to under eight minutes — running 24x7 with complete auditability. Across its client base spanning insurance, banking, and capital markets in India, the US, and Southeast Asia, LUMIQ now processes millions of decisions annually.


        LiteCone turns a real financial-services role into a working AI agent in weeks. Every agent we deploy is consistent, explainable, compliant, and auditable by design — not as an afterthought. This capital lets us go deeper on the platform and broader across roles. And through our cloud and AI lab partnerships, institutions will increasingly find LiteCone already embedded in the platforms they run today.

        Vaibhav Dobriyal, Co-founder and Chief Product Officer, LUMIQ
        This round funds four priorities: expanding go-to-market in the US and Southeast Asia; deepening LiteCone's decisioning capabilities; extending the agent workforce across more financial-services roles; and building a partnership ecosystem with cloud hyperscalers, AI labs, and core banking and insurance platforms so LiteCone is embedded where institutions already run.


        LUMIQ's investors backed the round for the same reason its customers adopt LiteCone: agents already deciding in production, with auditability and control built in.


        As a financial-services group, we know how much rests on getting regulated decisions right, at speed and at scale. LUMIQ has built AI agents that decide in production with auditability and control built in, the capability the industry has been moving toward. We are proud to lead this round and to support the team's expansion across the US and Southeast Asia.

        Lakshmi Iyer, Group President – Investments & CEO, Bajaj Alternates
        Our conviction is grounded in what LUMIQ has already built. Their AI agents aren't just built for the future. They are operating in production today, at speed. This combination is rare, and its value will only compound as the company scales globally.

        Girish Jhunjhunwala, Fund Manager – PE and VC Investments, Bajaj Alternates
        Financial services is one of the hardest categories to crack — regulated, risk-averse, and unforgiving of hype. LUMIQ has put agentic AI into live financial-services workflows and earned the trust of large institutions across the US, Southeast Asia and India. That is how a category-defining company in financial-services AI gets built, and we are proud to keep backing the team as they scale globally.

        Kitty Agarwal, Partner, Info Edge Ventures
        LUMIQ's goal is to lead one category: auto-decisioning at production scale for financial services. Agents that act, not assist, and never compromise audit, compliance, or predictability.


        About LUMIQ
        LUMIQ is an AI-native financial services company. Through its LiteCone platform and a growing workforce of production AI agents, LUMIQ turns real financial-services roles — insurance underwriter, credit underwriter, claims adjudicator — into agents that are consistent, explainable, compliant, and auditable. The company pairs deep domain expertise across banking, insurance, and capital markets with frontier AI. LUMIQ employs over 350 AI and data specialists, and has offices in New Jersey, Singapore, and Delhi NCR (India).


        Web: www.lumiq.ai
        Photo - https://mma.prnewswire.com/media/2997317/LUMIQ_Funding.jpg' alt='Embedded Media' />
        (Disclaimer: The above press release comes to you under an arrangement with PRNewswire and PTI takes no editorial responsibility for the same.). PTI PWR

        Autonomous financial decision-making gains traction as auditable AI agents handle routine regulated workflows with compliance and control. AI deployment in financial services is described as shifting from advisory support to autonomous decision-making through a platform that applies an institution's own guidelines, reaches end-to-end decisions, and escalates only matters requiring human judgment. The system is presented as producing decisions with full reasoning, policy cross-reference, and auditability, while remaining consistent, explainable, compliant, and defensible under audit in banking, insurance, and capital markets workflows.
                          Cases where this provision is explicitly mentioned in the judgment/order text; may not be exhaustive. To view the complete list of cases mentioning this section, Click here.
                            Provisions expressly mentioned in the judgment/order text.

                                Autonomous financial decision-making gains traction as auditable AI agents handle routine regulated workflows with compliance and control.

                                AI deployment in financial services is described as shifting from advisory support to autonomous decision-making through a platform that applies an institution's own guidelines, reaches end-to-end decisions, and escalates only matters requiring human judgment. The system is presented as producing decisions with full reasoning, policy cross-reference, and auditability, while remaining consistent, explainable, compliant, and defensible under audit in banking, insurance, and capital markets workflows.





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