TraqCheck is an HR tech startup that automates employee background checks and is now pushing deeper into AI-led hiring workflows. It has raised nearly ₹75 crore in a Series A round led by IvyCap Ventures, a deal that matters because too many enterprises still run hiring, screening, and verification across disconnected tools that waste time and invite errors. Founded in 2020 by Jaibir Nihal Singh, Armaan Mehta, and Rishabh Jain, the New Delhi company is using this TraqCheck funding round to expand in Europe and build out its AI capabilities.
That’s a sharper story than a standard “AI for HR” pitch.
TraqCheck isn’t chasing the fluffiest part of recruiting. It’s going after one of the least glamorous, most compliance-heavy parts of the stack background verification and then trying to stitch that into the front end of talent acquisition. If it works, buyers get fewer vendors and faster hiring cycles. They also get less manual back-and-forth. If it doesn’t, it risks getting squeezed between specialist verification firms and giant HR suites that are adding AI fast.
What does TraqCheck actually do for hiring teams?
TraqCheck’s core product is Trace, an AI-driven background verification tool that handles checks across criminal records, education, identity, and work history. For an employer, the workflow is direct: a company triggers a verification request, the platform collects and validates records, flags inconsistencies, and turns the result into a cleaner decision-ready report instead of a pile of fragmented responses from institutions and prior employers.
But the company isn’t stopping at screening. It now talks about a broader “Human Operating System” for HR, with a second agent called Nina built for the top of the funnel. Nina sources candidates in real time and understands role requirements beyond blunt keyword matching. It sends personalized outreach, replies to candidates, handles follow-ups automatically, and returns a shortlist to hiring teams through a chat-style interface.
That changes the customer experience in a simple way. Before, recruiters often had one tool for sourcing, another for applicant tracking, and a separate vendor for checks. TraqCheck wants those steps to sit in one workflow source, engage, screen, verify and move the right people forward without the usual spreadsheet mess.
There’s a practical reason that pitch lands. Background checks are slow, repetitive, and easy to break when data collection is manual. Automating ID verification, employment checks, and record gathering doesn’t just save recruiter time. It also cuts the kind of process friction that kills offer acceptance or leaves hiring managers waiting on final clearance.
Who founded TraqCheck and how far has it scaled?
The founding story
TraqCheck started in 2020 with Jaibir Nihal Singh, Armaan Mehta, and Rishabh Jain. The founding idea was straightforward: hiring teams were relying on fragmented verification processes that were too slow for modern recruiting and too messy for enterprise compliance. So the company began with background checks, then widened the pitch toward a fuller hiring workflow.
Why the founders fit the problem
Singh studied media and communications at Pepperdine University and had early exposure to operating and business-building work. Mehta studied quantitative economics at UCLA and also trained in data science and machine learning. He previously interned with SoftBank Investment Advisers and worked on research projects tied to economic and technology themes. Jain came from a computer science background and had engineering experience in Silicon Valley roles focused on software and machine learning. The mix fits the problem.
Early execution and traction
TraqCheck is already live in market, not sitting in demo mode. The company serves about 300 enterprise clients across India and Europe, and it has cited customers such as Randstad Enterprise, Wipro, and The Digital College. Its current push is split between the mature verification business and the newer AI agent layer for talent acquisition. That gives it both a steady enterprise use case and a more ambitious expansion story.
Fundraising details
IvyCap Ventures led the fresh Series A round, with participation from IIFL Fintech Fund. Before this, TraqCheck had raised a pre-Series A round backed by Caret Capital and former Goldman Sachs executive Alok Oberoi, with Lenskart cofounder Peyush Bansal also investing as an angel. The new capital is earmarked for European expansion, stronger enterprise sales, and further development of the company’s AI agents.
How TraqCheck stacks up against rivals
This is where things get interesting.
On background screening, TraqCheck runs into specialist verification players such as Checkr, Truework, and Certn. On AI-led recruitment, it’s up against newer hiring startups like TurboHire and HireBound. Above them sit the heavyweights Workday, Greenhouse, and Lever which already own big chunks of recruiter workflow and are steadily layering in AI features.
TraqCheck’s edge isn’t that it invented background checks. It’s trying to join a boring but sticky enterprise function with higher-frequency recruiting actions in the same product flow. Legacy vendors often handle verification as a separate service line. Big HR suites do a lot, but they can feel bulky and slow to adapt. TraqCheck is betting buyers want speed, a cleaner user experience, and fewer handoffs between sourcing and verification. It’s a smart bet. It’s also a risky one, because the incumbents aren’t asleep.
Why does TraqCheck funding matter now?
Because this round lets the company move from being useful to being harder to ignore.
European expansion matters for a background verification business because compliance-heavy workflows travel well when the product is structured right. If TraqCheck can prove that its automation works across geographies and not just inside Indian hiring flows, it becomes more than a local HR tech story. It becomes a candidate for multinational enterprise budgets.
The product roadmap matters too. Building around Trace alone would have kept TraqCheck in a narrower category. Putting money behind Nina suggests the company wants a larger share of recruiting spend, not just a slice of verification budgets. That gives investors a bigger upside case but only if customers actually adopt the broader workflow instead of buying the company for checks and ignoring the rest.
The round also carries a sales signal. TraqCheck plans to grow enterprise sales and expand its UK team to 25 people while converting pilot projects into longer-term contracts. This isn’t just a product build story. It’s a go-to-market test at a more serious scale.
How big is the market TraqCheck is chasing?
The homegrown HR tech market TraqCheck sells into is expected to become a $2.3 billion opportunity by 2034. A separate market estimate puts India’s HR technology segment at $1.21 billion in 2025 and projects it to reach $2.33 billion by 2034, growing at a 7.56% CAGR. Recruitment already accounts for 25% of the market, which helps explain why startups and incumbents alike are trying to automate screening, matching, and hiring operations.
A few shifts are doing the heavy lifting here. Indian enterprises are buying more cloud software. Recruiters are under pressure to cut time-to-hire. AI tools are moving from “nice demo” territory into actual workflow software that promises measurable output. That doesn’t mean every AI recruiting startup wins. It does mean buyers are more open than they were to replacing manual verification and fragmented hiring steps with software.
Timing helps. Information technology is the largest end-use segment in India’s HR tech market at 32%, and that matters because large tech employers and staffing-heavy businesses feel hiring friction faster than almost anyone else. When those customers start looking for tighter automation and compliance, startups like TraqCheck get a real opening.
Conclusion
TraqCheck funding isn’t just another enterprise AI round with a vague automation pitch. It’s a bet that background verification one of the dullest parts of HR can become the anchor for a broader hiring product that companies actually pay to expand. The next thing to watch is whether TraqCheck can turn 300 enterprise relationships and its Europe push into durable, multi-product contracts before bigger HR platforms close the gap.
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FAQ
What is TraqCheck funding and who invested in the round?
TraqCheck funding refers to the startup’s nearly ₹75 crore Series A raise announced in April 2026. IvyCap Ventures led the round, and IIFL Fintech Fund joined in, giving the company fresh capital to expand in Europe and build out its AI hiring products.
How does TraqCheck work for background checks and hiring?
TraqCheck works through two product layers: Trace for background verification and Nina for AI-led recruiting tasks. Trace handles checks like identity, education, criminal records, and employment history. Nina sources candidates, runs outreach, follows up automatically, and returns a shortlist through a conversational interface.
Who are the founders of TraqCheck?
TraqCheck was founded in 2020 by Jaibir Nihal Singh, Armaan Mehta, and Rishabh Jain. Singh brings business and operating exposure. Mehta has economics and investment experience plus data science training. Jain comes from a software and machine learning background.
Is TraqCheck an HR tech startup or a background verification company?
It’s both, and that’s the point of the business. TraqCheck started from background verification but is now expanding into broader HR tech and talent acquisition software, which puts it somewhere between a screening specialist and a wider recruiting automation platform.
