Mumbai: TraqCheck has secured $8 million in its Series A funding round, with participation from IIFL Fintech Fund alongside lead investor IvyCap Ventures.
The fresh capital will support TraqCheck’s expansion as it builds autonomous AI agents designed to transform enterprise hiring workflows across India and Europe.
TraqCheck, a London and New Delhi-based HR technology company, is focused on creating a Human Operating System powered by specialised AI agents that can execute end-to-end hiring processes autonomously.
With this funding, TraqCheck aims to accelerate its next phase of growth while strengthening its presence in global enterprise markets.
At the core of TraqCheck’s offering is its flagship AI agent, Trace, which automates background verification processes for nearly 300 enterprise customers across India and Europe.
Building on this, TraqCheck has introduced a new AI agent, Nina, which expands into talent acquisition by sourcing candidates in real time, initiating outreach, qualifying applicants, and delivering vetted talent directly to hiring managers.
The investment aligns with IIFL Fintech Fund’s strategy of backing companies developing deep, defensible infrastructure at the intersection of artificial intelligence and enterprise workflows.
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TraqCheck represents this approach by building a fully integrated system rather than layering AI capabilities onto existing HR software solutions.
The HR technology sector is undergoing a structural shift, moving away from legacy applicant tracking systems and fragmented recruitment tools toward AI-driven automation.
The company is positioning itself within this transition by replacing traditional workflow stacks with autonomous, agent-driven systems capable of executing hiring decisions.
Hiring remains one of the most operationally intensive and underdigitised functions within enterprises. Recruiters often spend significant time on manual tasks such as candidate sourcing, coordinating background checks, and managing multiple tools—activities that do not directly contribute to competitive advantage.
TraqCheck: Automation-Driven Approach Seeks to Address Inefficiencies
Industry estimates suggest that adopting autonomous AI agents can reduce time-to-hire by 40–60% and significantly lower cost-per-hire for enterprises.
For organisations with high-volume hiring requirements, including banks, logistics firms, and healthcare providers, such efficiencies can translate into substantial operational savings. TraqCheck is targeting this segment with its full-stack AI hiring platform.
The company’s thesis is that HR functions will be among the earliest to achieve end-to-end automation, given their repetitive, data-rich, and measurable nature. By building this infrastructure early, TraqCheck aims to establish itself as a key player before broader market consolidation.
Ms Mehekka Oberoi, Fund Manager, IIFL Fintech Fund, said, “The Human Operating System thesis resonates with us deeply. As agentic AI moves from experimentation to production in enterprise environments, companies like TraqCheck – which own the full workflow stack across sourcing, screening, and verification – are positioned to become category-defining infrastructure. We are excited to partner with the team as they scale this vision across India and Europe.”
Armaan Mehta and Jaibir Nihal Singh, Co-Founders of TraqCheck, added, “The shift from SaaS to AI-native systems is happening faster than most companies realise.
Software required humans to operate it. Agents execute autonomously. We are building systems that collaborate and make decisions – not just tools that display information.”
