About Us
Read more about us. Our vision, mission, story, values, and the hiring intelligence platform we're building.
We’re building a smarter way to hire.
Hiring is one of the most consequential decisions a company makes.
Yet much of the technology behind it was designed to manage applications, move candidates through stages, and keep records—not to help teams understand who they should hire and why.
Hirenix is an AI-native hiring platform built to change that. We bring sourcing, screening, assessment, interviews, collaboration, offers, onboarding, and hiring intelligence into one connected system—helping companies move faster while keeping people at the center of every decision.
Our Ambition
“Make every hire a better-informed decision.”
We give hiring teams the intelligence, structure, and automation they need to recognize the right people sooner and move faster without losing context.
Sourcing & AI Search
Multi-Channel Candidate Discovery
Aggregates & matches talent across global job boards, internal databases, and active candidate networks.
CEO
Babylon Resources Limited
“We did not want to build another traditional ATS with a few AI features added on top. We wanted to rethink hiring from the ground up.”
With Sincere Gratitude & Recognition
• My sincere thanks to Mr. Rubaet Bin Aziz, Mr. Mahmudul Hasan Bhuyan, and the Babylon HR team for helping shape the original requirements and challenging us to think beyond the initial onboarding need.
• I would also like to give a special thanks to Mr. Ninad, Project Manager of Hirenix, for designing and architecting the product, leading the team, and playing a key role in turning the vision into a working platform.
• I also want to recognize our Project Management, Solution Architecture, and Development teams for their continued effort, technical contribution, and commitment to building the product.
Why We Built Hirenix
The idea of building an Applicant Tracking System first came to us in early 2024. We saw how recruitment was changing and believed there was an opportunity to build something more modern, intelligent, and useful for hiring teams. At that time, however, other priorities meant we did not move forward with the project.
The idea returned in mid-2025, this time from a very real operational need. Our HR team at Babylon asked us to build an onboarding system that could make the process more structured, connected, and efficient.
As we started working on that requirement, the opportunity became much bigger. We realized that onboarding was only one part of the problem.
The real opportunity was to connect the entire hiring journey — from opening a position and attracting candidates to screening, assessment, interviews, decision-making, offers, and onboarding — within one intelligent platform.
That was when Hirenix truly started to take shape. We did not want to build another traditional ATS with a few AI features added on top. We wanted to rethink hiring for a world where AI, automation, evidence, and human judgment can work together.
Hirenix continues to evolve through the ideas, feedback, and hard work of many people.
What began as an internal requirement has grown into something much more ambitious: a platform designed to help organizations make better hiring decisions from beginning to end.
And we are only getting started.
— Liakat Hossain, CEO
Babylon Resources Ltd.
Our Compass for the Next Era of Hiring
Help companies make better hiring decisions.
Our mission is to give hiring teams the intelligence, structure, and automation they need to recognize the right people sooner.
We want recruiters to spend less time processing applications and more time engaging talent.
We want hiring managers to see meaningful evidence instead of noise.
And we want candidates to experience a process that is faster, clearer, and more respectful.
A future where hiring gets smarter with every decision.
We believe recruiting software will evolve beyond simply recording who applied, who interviewed, and who was hired.
The next generation of hiring platforms will understand the entire decision journey. They will connect job requirements, candidate evidence, assessments, interviews, team feedback, hiring decisions, and eventually outcomes after someone joins.
Hiring Intelligence
That creates something much more valuable than an applicant tracking system. It creates hiring intelligence. That is the future Hirenix is being built for.
Built Differently
Not just another ATS with AI added on.
Hirenix is designed as an AI-native hiring system from the beginning. Our approach is built around four fundamental ideas:
AI-Native
AI isn't an isolated feature inside Hirenix. It can support the hiring journey from understanding job requirements and screening candidates to assessments, communications, evaluation, and decision support.
Evidence-Driven
A candidate score should never be the end of the conversation. Where Hirenix provides intelligence, our goal is to help teams understand the evidence behind it—what matters, why it matters, and what deserves human attention.
End-to-End
Hiring doesn't begin with a resume and end with an interview. Hirenix connects the journey from opening a role through sourcing, screening, assessments, interviews, decisions, offers, and onboarding.
Human-Centered
The purpose of AI isn't to remove people from hiring. It is to remove repetitive work, organize complex information, surface relevant signals, and give people more time for the judgment and conversations that matter.
Meet the People Building Hirenix
Hirenix is being built by a team that believes hiring technology can be significantly more intelligent, transparent, and human. We bring together product thinking, technology, AI, business, and recruitment expertise around one goal: build the infrastructure for better hiring decisions.
CEO & AI ResearcherMr. Liakat Hossain
AI Research & Governance
Guides hiring intelligence roadmaps, evidence-based evaluation design, and responsible AI safety standards.
Project Management & DevelopmentMd. Ninad Hossain
Project Lead & Solution Architect
Designed and architected the Hirenix product, leading cross-functional teams and turning product vision into a scalable platform.
Project ManagementMd. Azizur Rahman
Project Manager & Business Analyst
Drives business analysis, feature roadmaps, requirement definitions, and alignment across engineering and enterprise stakeholders.
Development TeamMd. Nayeem Sagor
Development Lead
Builds high-performance interfaces, real-time WebSocket communication, and semantic AI resume matching models.
Development TeamMd. Nazmul Hossain
Full Stack Developer
Shapes intuitive recruiter evaluation tools, seamless interview coordination, and candidate communication flows.
Development TeamSaif Ahmed
Full Stack Developer
Develops contextual screening heuristics, skills matching algorithms, and fairness benchmarks for hiring intelligence.
Development TeamSamira Ahmed
Full Stack Developer
Engineers resilient multi-tenant cloud architecture, automated deployment pipelines, and enterprise-grade compliance.
The Principles Behind How We Build
Clarity
Complex technology should produce clearer decisions, not more complexity. We design Hirenix so teams can understand what matters and act on it.
Fairness
People should be evaluated against relevant job requirements and meaningful evidence—not unnecessary assumptions or hidden criteria. We believe better structure can lead to better hiring.
Human Judgment
Hiring is ultimately a human responsibility. AI should support judgment with information and context—not make consequential decisions simply because it can.
Continuous Improvement
Hiring isn't a static process. The best teams learn from every role, every candidate journey, and every hiring outcome. We want Hirenix to help make that learning part of the system.
Trust Isn't a Feature. It's a Requirement.
Hiring involves sensitive personal information and decisions that can affect people's lives. That responsibility shapes how we think about Hirenix. We believe AI used in hiring should be understandable, appropriately governed, and subject to human oversight.
Transparency
Teams should be able to understand why important recommendations are being surfaced.
Human Oversight
AI should support hiring professionals—not quietly become the final decision-maker.
Data Responsibility
Candidate and company information should be handled with appropriate security, privacy, and access controls.
Fair Evaluation
Technology should help teams evaluate candidates against relevant criteria consistently and thoughtfully.
Accountability
The people responsible for hiring should remain responsible for the decision.
“As hiring technology evolves, our approach to trust, safety, privacy, and responsible AI will evolve with it.”
Where We're Going
Applicant tracking is the beginning. Hiring intelligence is the destination.
The ATS solved an important problem: “Where is every candidate in the process?” We believe the next generation of hiring technology must answer much harder questions:
Why is this candidate a strong fit?
Which evidence matters most?
Which assessments actually predict capability?
Where are strong candidates being lost?
Why do some hiring decisions work better than others?
What can every hiring decision teach the organization about the next one?
That is the larger opportunity behind Hirenix. Over time, we want the system to move from managing hiring activity to helping organizations understand and continuously improve how they identify talent.
We’re building Hirenix for that future.