As companies rethink how hiring should work in an era of automation, a London based startup is replacing fragmented recruitment tools with intelligent systems that can execute entire workflows. TraqCheck has secured $8 million in Series A funding to scale its AI driven platform that automates talent sourcing, screening, and verification.
Strong Backing for HR Automation
The funding round was led by IvyCap Ventures, with participation from IIFL. The investment reflects growing confidence in AI powered solutions that can transform enterprise workflows, particularly in human resources where inefficiencies and manual processes remain widespread.
TraqCheck plans to use the capital to expand its UK team and further develop its platform, positioning itself as a key player in the evolving HR technology landscape.
Replacing Fragmented Hiring Processes
Traditional recruitment workflows often involve multiple disconnected tools for sourcing candidates, reviewing resumes, and conducting background checks. These processes are time consuming, prone to errors, and can carry significant reputational risks.
TraqCheck addresses this challenge by deploying AI agents that manage these tasks end to end. Instead of recruiters navigating different systems, the platform executes workflows automatically, reducing manual effort and improving accuracy.
This approach not only streamlines operations but also allows hiring teams to focus on higher value activities that require human judgement.
AI Agents Driving Real World Adoption
The company has already gained traction with nearly 300 enterprise customers globally. Its background screening agent, Trace, is used by organisations such as Randstad Enterprise, Wipro, and The Digital College.
Trace automates verification processes, ensuring that candidate checks are completed efficiently and consistently. This reduces the risk of errors and helps organisations maintain compliance and trust.
Expanding into Talent Sourcing
Building on its success in background screening, TraqCheck is expanding into talent acquisition with the launch of a new conversational AI agent called Nina.
Nina is designed to handle early stage recruitment tasks, including initiating outreach, engaging with candidates, and qualifying applicants. It can then present pre vetted candidates directly to hiring managers, significantly reducing the administrative burden on recruitment teams.
By automating these initial steps, the platform enables faster hiring cycles and improves productivity across the organisation.
Toward a Human Operating System
TraqCheck’s broader vision is to create what it describes as a Human Operating System, an infrastructure layer of specialised AI agents that work together to manage HR processes.
These agents are designed to collaborate in a way that mirrors human teams, moving beyond simple automation to systems capable of making decisions and executing tasks independently.
This shift reflects a growing trend in enterprise software, where AI is moving from experimental tools to fully embedded operational systems.
Scaling Across Europe and Beyond
With the new funding, TraqCheck aims to increase its UK headcount to 25 and expand its presence across Europe. The company is targeting both small and medium sized businesses and large enterprises, offering scalable solutions that can adapt to different organisational needs.
Investors believe that companies controlling the full workflow stack, from sourcing to verification, are well positioned to define the future of HR infrastructure.
Redefining the Hiring Experience
As businesses look to modernise their operations, the recruitment process is becoming a key area for innovation. TraqCheck’s approach replaces traditional interfaces with conversational, AI driven systems that can execute complex workflows with minimal human input.
By transforming hiring into a more efficient and intelligent process, the company is helping organisations reduce costs, improve accuracy, and accelerate decision making.
With strong investor backing and growing adoption, TraqCheck is positioning itself to play a central role in shaping how companies hire in the age of autonomous AI systems.