CV to JD Matching
Semantic matching between every CV in your database and your job description. Contextual understanding that surfaces candidates a keyword search would miss.
NLP-poweredFusion Hiring's AI engine replaces hours of manual CV screening with precision-ranked shortlists — learning from your past hiring decisions to get smarter every single search. Trusted by Kotak Mahindra Bank and Tata Projects Subsidiaries.
Fusion Hiring is an AI-powered applicant tracking system (ATS) built specifically for enterprise recruitment teams in India. It uses NLP and semantic matching to automatically screen every CV in your database against a job description — understanding meaning, not just matching keywords — and delivers a ranked shortlist of the best-fit candidates in minutes, not days.
Unlike traditional ATS tools that simply store and organise CVs, Fusion Hiring actively filters, ranks, and recommends. It learns from your past hiring decisions, resurfaces overlooked candidates from historical data, and drafts job descriptions using generative AI. The result: 85% fewer irrelevant CVs, 90% match accuracy, and hiring that's 35% faster — as proven live at Kotak Mahindra Bank and Tata Projects.
Four intelligent steps replace hours of manual screening. The system learns from your hiring decisions and gets sharper every single time you use it.
Not a generic ATS. Fusion Hiring is purpose-built around the way real recruiters work — configurable, intelligent, and designed to reduce cognitive load, not add to it.
Semantic matching between every CV in your database and your job description. Contextual understanding that surfaces candidates a keyword search would miss.
NLP-poweredFind candidates who profile-match your existing high performers. Use your best hires as a benchmark and let the AI find the next great ones automatically.
Contextual AIYour existing talent pool holds more value than you realise. Fusion Hiring revives overlooked candidates from historical data — talent you already paid to source.
Zero source lossSearch your entire candidate database the way you search the web — natural language queries, instant results, deep context. No more manual database trawling.
Semantic searchInput the skills you need and our AI drafts a clear, complete, unbiased job description — drawing on contextual references to attract the right candidates from the start.
Gen AI writingFine-tune ranking parameters to match your hiring culture. The system continuously learns from your decisions — getting more accurate with every search, every hire.
Adaptive AIFusion Hiring's AI screening engine is deployed across one of India's largest private sector banks — transforming how their HR team manages high-volume recruitment. From hundreds of CVs per open role to a precise, ranked shortlist in minutes.
Powering intelligent talent operations across two entities within India's Tata Projects ecosystem — TQCert and TPLSPL. Consistent, scalable, bias-reduced recruitment across multiple business units with different hiring profiles.
Thanks to the Fusion Hiring engine, we have been able to filter 85% junk. Additionally, decision making can be attained with few sample hired resumes.
Making the data from unstructured to structured helped the recruiter find the key points they are looking for. The tool with intelligence helped reduce workload and narrow down the search to right and relevant profiles.
Most ATS tools were built to store CVs and track status. Fusion Hiring was built to make decisions. Here is what that difference looks like in practice.
| Capability | Traditional ATS | Manual Screening | Fusion Hiring ✦ |
|---|---|---|---|
| CV screening method | Keyword matching only | Human review, inconsistent | Semantic NLP — matches meaning, not words |
| Match accuracy | ~40–60% (keyword gaps) | Variable by reviewer fatigue | 90% match accuracy |
| Junk CV filtering | Minimal — most pass through | HR team absorbs the load | 85% junk eliminated automatically |
| Talent Recommendation | Not available | Relies on recruiter memory | AI proactively recommends best-fit candidates from your full database |
| Historical CV database | Stored but rarely revisited | Usually lost or ignored | Talent Resurrection — AI re-ranks past CVs |
| Learns from your hires | No | Tribal knowledge only | Yes — self-learning from every decision |
| JD creation | Manual / template-based | HR writes from scratch | Gen AI drafts bias-reduced JDs instantly |
| JD Recommendation Engine | Not available | Not available | AI suggests optimised JDs based on role, skills & context |
| Bias reduction | Not addressed | Unconscious bias present | Built-in bias filter on every shortlist |
| Time to shortlist | Hours to days | Days to weeks | Minutes — 35% faster than traditional methods |
Based on live deployment data at Kotak Mahindra Bank and Tata Projects subsidiaries, 2023–2026.
Everything you need to know about Fusion Hiring — answered clearly, so you can make a confident decision.
Fusion Hiring is an AI-powered applicant tracking system (ATS) built for enterprise recruitment teams in India. It automatically screens every CV in your database against a job description using NLP and semantic matching — understanding the meaning of experience, not just the presence of keywords. The result is a ranked shortlist of your best-fit candidates, delivered in minutes. It also learns from your past hiring decisions to get more accurate over time. Fusion Hiring is built by Curioso Technologies, Bengaluru.
Traditional ATS tools match CVs to jobs using exact keyword overlap — if the CV says "ML" and the JD says "machine learning", it's a miss. Fusion Hiring uses semantic NLP to understand that these mean the same thing. It also learns from your organisation's past hiring decisions, resurfaces overlooked candidates from historical databases, and generates job descriptions using generative AI. The practical difference: 90% match accuracy versus the 40–60% typical of keyword-based systems.
Semantic matching means comparing a CV and a job description at the level of meaning rather than exact text. Fusion Hiring uses embedding models to convert both the CV and JD into numerical representations of their meaning, then computes a similarity score. This means a candidate with "deep learning" experience will match a JD asking for "neural network skills" — even though the exact words are different. It's the difference between a search engine that looks for words and one that understands intent.
Yes — and this is one of Fusion Hiring's most valuable capabilities. Most organisations have years of CVs sitting in databases, never revisited. Fusion Hiring ingests your entire historical CV database with zero source loss, then its Talent Resurrection feature re-ranks those past candidates against any new job description. You surface strong candidates you already paid to source, without any new recruitment spend.
Fusion Hiring is deployed at Kotak Mahindra Bank, one of India's largest private sector banks, where it filters 85% of irrelevant CVs and has reduced interviewer workload by 40%. It is also live at TQCert and TPLSPL, two subsidiaries of Tata Projects, where it powers talent operations across multiple business units. Sumit Kumar Das, Chief Manager HR at Kotak Mahindra Bank, notes that the engine enables decision-making using just a few sample hired resumes.
Yes. Fusion Hiring includes a JD Recommendation Engine powered by generative AI. Enter the role title and key skills you need, and the engine drafts a clear, complete, bias-reduced job description — drawing on contextual references from your industry. This helps you attract the right candidates from the start, rather than filtering poor applications downstream. It also helps standardise JD quality across large HR teams.
Yes — Fusion Hiring is specifically designed for high-volume enterprise recruitment. It processes hundreds of CVs per open role simultaneously, filtering irrelevant applications at scale. At Kotak Mahindra Bank, where open roles attract large application volumes, Fusion Hiring screens the entire pool and delivers a ranked shortlist in minutes. It is most impactful for organisations receiving 50+ CVs per role, or those with active hiring across multiple departments simultaneously.
Fusion Hiring is built and maintained by Curioso Technologies, an AI product studio based in Bengaluru, India. It was co-founded by Sonia Uppal and Dwaipayan Som, who previously saw first-hand how much time enterprise HR teams lost to manual CV screening — and built Fusion Hiring to solve it. Curioso Technologies also builds custom AI, generative AI products, agentic systems, and AI-powered SaaS for enterprise clients across India. Learn more at curiosobyte.com.
No generic demos. We show you Fusion Hiring working with your actual job descriptions and candidate data — so you see the impact before committing to anything.
We tailor the demo to your industry, team size, and specific hiring challenges. Not a slide deck — a live product session on your data.
Fusion Hiring integrates with your existing CV sources and HR workflows. You'll see meaningful results from the first day of deployment.
Your data stays yours. Every parameter — ranking logic, scoring weights, hiring patterns — is configurable to match your organisation's standards.