TraqCheck raises $8M to turn hiring into an AI-run workflow

London HRtech startup TraqCheck has raised $8 million in Series A funding, led by IvyCap Ventures, with participation from IIFL.     

Instead of recruiters manually sourcing candidates, screening resumes, and coordinating background checks across fragmented tools, TraqCheck’s agents execute those workflows end-to-end. This creates significant operational efficiencies and eliminates manual errors, which can be costly and reputationally high-risk – particularly when it comes to background checks.    

TraqCheck already has nearly 300 enterprise customers globally using its background screening agent Trace, including Randstad Enterprise, Wipro and The Digital College.    

The business is also expanding upstream into talent acquisition with new real-time conversational talent sourcing agent, Nina.

Nina initiates outreach conversations, qualifies applicants, and introduces vetted talent directly to hiring managers. By taking the administrative burden out of hiring, Nina empowers recruiters and hiring managers to supercharge their productivity and focus their time on the parts of the process that require human interaction and judgement.   

According to Jaibir Nihal Singh, Founder and Co-CEO, TraqCheck, recruiting has been stuck in search interfaces and fragmented tools for two decades.

“Agents change the interface entirely. Instead of navigating software, you simply tell an AI what role you want to hire for and the system executes the entire workflow. We are building systems that collaborate and make decisions, not just tools that display information.” 

He believes that HR departments are moving beyond isolated pilots to truly embedded autonomous agents.

“We believe that HR will be one of the earliest operational categories to see full automation. Future hiring teams will rely less on dashboards and more on digital colleagues.”   

According to Vikram Gupta, Founder and Managing Partner, IvyCap Ventures, the team has demonstrated strong product vision and execution in applying autonomous agents to solve real enterprise challenges in talent acquisition and verification.   

IIFL Fintech fund backs companies building deep, defensible infrastructure at the intersection of AI and enterprise workflows. According to Mehekka Oberoi, IIFL Fintech Fund Manager:

“The Human Operating System thesis resonates with us deeply: as agentic AI moves from experimentation to production in enterprise environments, companies like TraqCheck that own the full workflow stack — sourcing, screening, 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." 

The funding will be used to increase UK headcount to 25 and scale its Human Operating System, an infrastructure layer of specialised AI agents designed to streamline HR processes by eliminating tool fragmentation and collaborating as human teams do, among SMBs and enterprises across Europe.