As hiring workflows undergo a structural shift, TraqCheck positions itself at the forefront of AI-driven recruitment infrastructure
In a move that underscores growing investor confidence in AI-led enterprise transformation, IIFL Fintech Fund has announced its participation in the $8 million Series A funding round of TraqCheck. The round, led by IvyCap Ventures, marks a pivotal step in TraqCheck’s journey to build a new category of hiring infrastructure powered by autonomous AI agents.
Operating across London and New Delhi, TraqCheck is reimagining enterprise hiring through what it calls a “Human Operating System”—a framework of specialised AI agents designed to execute end-to-end recruitment workflows with minimal human intervention. The company’s approach signals a departure from traditional HR technology, where software merely supports human decision-making, toward a future where AI systems actively drive and execute those decisions.
Rebuilding the Hiring Stack
At the centre of TraqCheck’s offering is a suite of intelligent agents tailored to different stages of the hiring process. Its flagship product, Trace, focuses on automating background verification and is already deployed across nearly 300 enterprise clients in India and Europe. Building on this foundation, the company recently introduced Nina, an upstream agent that addresses talent acquisition itself—sourcing candidates in real time, initiating outreach, screening applicants, and delivering pre-qualified talent directly to hiring managers.
This integrated approach effectively replaces fragmented recruitment systems with a unified, AI-native workflow. Rather than layering intelligence onto legacy applicant tracking systems, TraqCheck’s model seeks to eliminate inefficiencies at their root, streamlining the hiring process from sourcing to onboarding.
The implications are significant. Hiring remains one of the most resource-intensive and under-digitised functions within enterprises. Recruiters often spend a large portion of their time on repetitive, low-value tasks—manual sourcing, vendor coordination, and administrative follow-ups—that contribute little to strategic outcomes. By automating these processes, AI-driven systems have the potential to unlock substantial operational efficiency.
A Market Ready for Disruption
Industry estimates suggest that fully autonomous hiring systems could reduce time-to-hire by as much as 40–60%, while delivering comparable reductions in cost-per-hire. For organisations with high-volume recruitment needs—such as financial institutions, logistics firms, and healthcare providers—these efficiencies could translate into millions of dollars in annual savings.
TraqCheck’s thesis is that HR is uniquely suited for early-stage automation. Hiring workflows are inherently repetitive, data-rich, and outcome-driven, making them ideal candidates for AI intervention. As enterprises increasingly shift from experimentation to production-scale AI deployment, platforms that can deliver end-to-end automation are likely to emerge as critical infrastructure.
This is precisely where IIFL Fintech Fund sees long-term value. The fund has built its investment strategy around identifying companies that operate at the intersection of AI and enterprise workflows—particularly those developing defensible, scalable infrastructure rather than incremental solutions.
Investor Confidence and Strategic Alignment
Commenting on the investment, Mehekka Oberoi, Fund Manager at IIFL Fintech Fund, highlighted the alignment between TraqCheck’s vision and the fund’s broader thesis. She noted that as agentic AI moves into mainstream enterprise adoption, companies capable of owning the full workflow stack—from sourcing and screening to verification—are positioned to define entirely new categories.
For TraqCheck’s founders, the shift from traditional SaaS models to AI-native systems is already underway. Co-founders Armaan Mehta and Jaibir Nihal Singh emphasised that while software historically required human operators, the next generation of systems will be capable of autonomous execution. Their vision is to build systems that not only process information but also collaborate, decide, and act.
Building the Future of Enterprise AI
Founded in 2021, IIFL Fintech Fund has backed over 20 fintech startups, building a portfolio that spans digital infrastructure, compliance, data analytics, and wealth technology. Its investment in TraqCheck reflects a broader trend among institutional investors to prioritise deep-tech platforms with long-term scalability.
TraqCheck, for its part, has already attracted backing from prominent investors and industry leaders, including angel investors such as Peyush Bansal of Lenskart and Alok Oberoi of Everstone Capital. With a growing client base and an expanding suite of AI agents, the company is positioning itself to capture a significant share of the emerging market for AI-driven enterprise workflows.
A Defining Shift in HR Technology
As enterprises rethink their approach to hiring in an increasingly digital and competitive environment, the role of AI is set to expand rapidly. Platforms like TraqCheck are not simply enhancing existing systems—they are redefining the architecture of recruitment itself.
The investment from IIFL Fintech Fund signals confidence in this transformation. More importantly, it highlights a broader industry shift: from software that supports human effort to systems that execute outcomes autonomously.
In that transition, the future of hiring may no longer be about managing workflows—but about reengineering them entirely.
