Core Capabilities
Transforming complex challenges into elegant, scalable solutions across the technology stack.
AI & Machine Learning
Custom models, NLP, computer vision, and predictive analytics trained on your data.
- Custom LLM fine-tuning
- Computer vision systems
- Real-time predictions
Data Analytics
Turn raw data into actionable insights with interactive, responsive dashboards.
- Real-time dashboards
- Predictive analytics
- Data engineering pipelines
Smart Software
Cloud-native applications, microservices, and robust APIs built for scale.
- Full-stack development
- Cloud architecture
- API integration
Our Products
Software platforms engineered and deployed by Lurnexa Technologies.
KyroPeople HRMS
KyroPeople HRMS is a proprietary enterprise Human Resource Management System software product developed and owned by Lurnexa Technologies. Streamlines employee records, attendance monitoring, automated payroll, performance evaluation, and HR workflows.
Grit Exam Portal
Grit Exam Portal is an online examination and assessment management portal software product developed and owned by Lurnexa Technologies. Features secure test delivery, automated grading, AI proctoring, and candidate analytics.
Comprehensive Solutions
End-to-end AI and software ecosystems tailored to your business needs.
Web Development
We build interactive, scalable web platforms — from complex dashboards to customer-facing applications with modern frameworks.
Core Offerings
AI & Machine Learning
From NLP systems to predictive modeling, we build the foundation for data-driven decisions at scale.
Technologies
Backend & API
Scalable, resilient, and secure backend solutions using microservices architecture and modern API design.
Cloud & DevOps
We orchestrate your infrastructure for zero-downtime deployments, continuous integration, and horizontal scaling.
Data Analytics
Transforming data points into unified dashboards that drive strategic decisions through business intelligence and advanced visualization.
AI Research
Pushing the boundaries of artificial intelligence through applied research and experimentation.
Active Projects
Project Sherpa
Active · 80% Complete
Fine-tuning large language models for specialized customer support, targeting cost reduction and faster inference times.
TinyEdge
Active · 65% Complete
Compact anomaly detection model designed for IoT sensors, targeting 97% accuracy on low-power edge devices.
VisionCore
Active · 45% Complete
Real-time object detection engine optimized for manufacturing quality control applications.
Recent Publications
Efficient Fine-Tuning of LLMs for Domain-Specific Tasks
Internal Research Paper — Lurnexa Labs
Edge-Based Anomaly Detection: A Compact Embedded Solution
Technical Whitepaper — Lurnexa Labs
Computer Vision in Manufacturing: Applied Case Study
Industry Application Report
Join the Team
Help us build the future of AI. We are remote-first, inclusive, and mission-driven.
Remote-First
Work from anywhere. We trust you to deliver results.
Equity for All
Every employee receives stock options. We grow together.
Learning Budget
Annual budget for courses, conferences, and professional development.
Health & Wellness
Comprehensive health coverage and wellness benefits.
Open Positions
Senior Machine Learning Engineer
Full-Time · RemoteDesign, build, and deploy production ML models. 5+ years experience with Python, PyTorch, and cloud platforms required.
Lead Full-Stack Developer
Full-Time · RemoteBuild scalable, performant web applications. 4+ years experience with React, Node.js, and modern cloud infrastructure.
AI Research Scientist
Full-Time · RemoteAdvance AI capabilities through applied research. PhD preferred, with a strong publication record in ML or related fields.
Insights & Ideas
Thoughts on artificial intelligence, scaling startups, and building technology that matters.
Why Most AI Proofs-of-Concept Fail (And How to Fix It)
Lurnexa Team · March 2026 · 8 min read
The gap between a promising AI demo and a production-ready system is wider than most realize. We mapped out the common failure patterns and how to bridge them.
Full article coming soonMarch 2026
The Startup Guide to Data Flywheels
Building self-reinforcing data systems that improve your AI capabilities over time without proportionally scaling costs.
February 2026
Introducing Our TinyML Library
EdgeML 2.0: a compact library for running ML models on constrained microcontrollers and edge devices.
February 2026
Building Ethical AI: A Practical Framework
How we ensure our AI systems remain fair, transparent, and accountable through structured engineering practices.
Content
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