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RAG-powered AI agents unify global talent platform data, automate candidate matching to open roles, perform initial screening and reduce manual effort, streamlining talent sourcing
About
In today's hyper-competitive talent landscape, traditional recruitment workflows are arguably struggling to keep up. Manual CV screening is outdated, fragmented data sources slow down the process and time-intensive searches often results in missed opportunities and delayed hires. Our innovation directly addresses these inefficiencies and takes AI in talent acquisition one step further than simple AI CV screening, with RAG-powered AI agents. A fully developed, live in market solution that unifies global talent data, automates candidate sourcing and evaluation, and ensures every decision is ethical, compliant, and data secure, while maintaining a human-in-the-loop mindset.
By combining Retrieval Augmented Generation (RAG) intelligence with emotionally intelligent AI avatars, the system continuously monitors and analyses multiple talent resources - from LinkedIn and job boards to internal applicant databases - identifying the best-fit candidates in real time. Once matched, our avatars seamlessly arrange and conduct transcribed screening calls and conversations that simulate a human recruiter's tone, empathy, and judgment, while running embedded bias and compliance checks/ A human-in-the-loop review layer ensures transparency and accountability, giving recruiters an intelligent assistant that enhances, quickens and streamlines the process without replacing them.
At a technical level, our solution is powered by a RAG architecture that continuously ingests and indexes data from multiple talent sources, including LinkedIn, job boards, internal ATS platforms, agencies and CRM systems, into a vectorised knowledge graph. This allows the system to semantically retrieve and correlate candidate information across fragmented data silos in real time. When a new role is created, the model performs contextual candidate to role matching by combining Large Language Model (LLM) reasoning with similarity search across skill embeddings, experience vectors and cultural fit indicators. The initial screening is then conducted by multimodal AI Avatars that leverage speech emotion recognition, natural language understanding and sentiment analysis pipelines to interpret tone, pace, and behavioural signals, generating emotionally intelligent responses that mirror human empathy and conversational nuance, while understanding context and the interview's objectives. Every interaction and output is passed through bias detection, compliance and explainability layers, ensuring transparent, auditable, and faire decision making while maintaining full data security and privacy control.
Our solution is not theoretical, it's a mature, market tested innovation which has been deployed in a collaboration project with the Home Team Science and Technology Agency (HTX) and the Singapore Prison Service for a program training inmates against drug recidivism and desensitising them to triggers. Our AI Avatars within the program were successfully trained in Singaporean culture and dialects, and were able to adapt under each user's different conversation and reactions. Our system met stringent requirements for robustness, security and operational readiness in time and mission critical settings. The solution was selected as the top project out of more than 200 submissions across multiple government sectors, a strong endorsement of both our technical depth and practical impact, and we were awarded the HTX innovation award. This led to follow up deployments across several government departments in Singapore with multiple 12+ month projects currently underway, and the extension of our validated architecture to multiple industries, from real-estate to industrial operations, delivering emotionally intelligent AI systems that improve performance and streamline operations without disrupting existing workflows.
With seamless integration capabilities into common HR and ATS systems, our solution transforms recruitment from a reactive, manual process into a proactive, insight-driven intelligence workflow.
Key Benefits
Our RAG-AI solution delivers a transformative shift in how recruitment and talent acquisition teams operate.
Accelerated Hiring: By automating data-intensive tasks such as candidate matching, shortlisting, and CV screening, it significantly reduces time to hire by up to 60% while maintaining a high standard of accuracy and fairness, freeing recruiters to focus more on strategic engagement.
Real-time Talent Intelligence: Talent teams gain an intelligent assistant that works around the clock, continuously scanning global talent pools and surfacing candidates who meet the role requirements and align with the organisational culture and values, while simultaneously maintaining an always updated view of potential candidates for open roles.
Smarter Decision Making: The system enhances decision making through context aware analytics. It provides actionable insights, including AI generated personalised interview questions that are relevant and inquisitive, and candidate risk indicators, giving hiring managers a clear, data based view before any human interaction takes place, and supports more informed and data driven recruitment.
Bias-Free and Ethical: Ethical integrity and privacy are integral to the solution's design. Built in fairness and bias detection algorithms continuously monitor for skewed recommendations, while embedded compliance safeguards ensure adherence to data protection and fairness standards.
Human-Centric AI: The inclusion of emotionally intelligent AI Avatars that understand emotion, tone and behavioural cues creates a candidate experience that is efficient and empathetic; it fosters engagement and inclusivity at scale, and centres the user's experience, well-being and satisfaction.
Financial efficiency: By reducing manual screening time, minimising agency dependencies, and preventing costly mis-hires, the solution can lower recruitment expenditure by up to 40-50% while simultaneously increasing productivity and candidate quality. Over time, this creates a compounding ROI, fewer wasted hours, faster hires, and stronger long-term retention.
Seamless Integration: Designed for interoperability, our plug-and-play solution connects effortlessly with existing recruitment tools and HR systems/ infrastructure without disrupting current workflows or need for retraining.
Applications
Our solution is purpose-built for enterprise-scale recruitment and talent acquisition environments where applicant flow is or should be continuous and speed, precision, compliance and data security are critical. It is particularly well-suited for global enterprises and multi market organisations such as HBC Coca-Coal, where talent needs span geographies, business units and skill domains. The platform enables HR and talent acquisition teams to centralise data from multiple systems and regions, creating a constantly updated unified global view of the talent pool.
Recruitment Process Outsourcing (RPO) providers and executive search firms can leverage the solution to deliver faster, higher quality shortlists to their clients, back by verified, transparent data insights, while diversity and inclusion teams will benefit from the platform's ability to surface candidates based solely on merit and fit, with clear audit trails and unbiased recommendation logic.
Additionally, integrated HR platforms and ATS vendors can embed our advanced RAG-based AI driven matching and conversational screening capabilities into their systems to enhance their offerings.
In short, our solution applies in any sector where recruitment meets complexity - helping organisations make confident, equitable hiring decisions at speed, scale and with cost effectiveness. It combines intelligence, empathy and compliance into a single seamless solution, with the ability to redefine how modern enterprises find and engage with talent.