🚀 AI & ANALYTICS STARTUP

We're a tiny team building big AI dreams

Lurnexa Technologies combines cutting-edge artificial intelligence with lean startup methodology to deliver solutions that actually work — minus the enterprise bloat.

🚀 We turn ideas into AI-powered products

Lurnexa Technologies combines cutting-edge artificial intelligence with lean startup methodology to deliver solutions that actually work — minus the enterprise bloat.

AI Advisory

Strategic guidance to help you identify where AI can deliver real ROI. We work with your team to assess opportunities, validate concepts, and build roadmaps.

What we offer:

  • AI opportunity assessment
  • Feasibility studies
  • Technology stack selection
  • ROI modeling
  • Proof of concept development
  • Team training and upskilling

Data Engineering

Robust data infrastructure that scales with your business. From ETL pipelines to real-time processing, we build the foundation for data-driven decisions.

Services include:

  • Data warehouse architecture
  • ETL/ELT pipeline development
  • Real-time streaming
  • Data quality frameworks
  • Legacy data migration
  • Data governance
AWSSnowflakedbtAirflowKafka

Cloud-Native Development

Modern applications built for the cloud. Scalable, resilient, and secure solutions using containerization and microservices.

Technologies:

  • Kubernetes & Docker
  • Microservices architecture
  • Serverless computing
  • CI/CD pipelines
  • Infrastructure as Code
  • Cloud security

Project Sherpa

Active · 80% complete

Fine-tuning large language models for customer support with 40% cost reduction and 25% faster response times.

4 researchers Est. Q2 2025

TinyEdge

Active · 65% complete

20KB anomaly detection model for IoT sensors achieving 97% accuracy on edge devices.

3 researchers Est. Q3 2025

VisionCore

Active · 45% complete

Real-time object detection optimized for manufacturing quality control with 99.5% precision.

5 researchers Est. Q4 2025

Recent Publications

March 2025

Efficient Fine-Tuning of LLMs for Domain-Specific Tasks

Presented at AI Summit 2025, San Francisco

January 2025

Edge-Based Anomaly Detection: A 20KB Solution

Published in Journal of Machine Learning Research

November 2024

Computer Vision in Manufacturing: A Case Study

Industry 4.0 Conference, Berlin

Why Lurnexa?

Remote-First

Work from anywhere. We trust you to deliver.

Equity for All

Every employee gets stock options.

Learning Budget

$2k/year for courses, conferences, books.

Health & Wellness

Comprehensive health coverage + fitness stipend.

Open Positions

Engineering

Senior Machine Learning Engineer

Full-time · Remote

Design and deploy production ML models. 5+ years experience with Python, PyTorch, and cloud platforms.

PyTorchPythonAWSKubernetes

Data Analyst

Full-time · Remote

Transform complex data into actionable insights. 3+ years experience with SQL, Tableau, and Python.

SQLTableauPythonLooker

Full-Stack Developer

Full-time · Remote

Build beautiful, performant web applications. 4+ years experience with React, Node.js, and cloud services.

ReactNode.jsTypeScriptMongoDB

Research

AI Research Scientist

Full-time · Remote

Push the boundaries of AI through original research. PhD preferred, strong publication record.

NLPComputer VisionPyTorchResearch

Operations

Founding Engineer

Full-time · Remote

Early-stage role with significant equity. Shape product, culture, and technical direction.

LeadershipFull-StackArchitecture

Our Hiring Process

1

Apply

Submit your resume and a brief note about why you're interested.

2

Screening

Resume Shortlisting.

3

Technical Exam

90 minutes exam to check aptitude and coding skills.

4

Final Interview

60-90 minutes with the engineering team.

5

Offer

Decision within 48 hours.

Why Most AI Proofs-of-Concept Fail (And How We Fix It)

The gap between a promising AI demo and production-ready system is wider than most realize. Based on our experience with 50+ AI implementations, we've identified the key failure points and developed a framework for successful deployment...

March 10, 2025

The Startup Guide to Data Flywheels

How to build self-reinforcing data systems that improve your AI over time.

By Mike Ross 5 min read
February 28, 2025

We Open-Sourced Our TinyML Library

Introducing EdgeML: a 20KB library for running ML models on microcontrollers.

By Alex Rivera 4 min read
February 15, 2025

Building Ethical AI: A Practical Framework

How we ensure our AI systems are fair, transparent, and accountable.

By Dr. James Wong 6 min read
February 1, 2025

From MVP to Scale: Lessons from 50 Startups

What we've learned helping startups navigate the tricky transition to growth.

By Lisa Park 7 min read
January 20, 2025

The State of Open Source AI: 2025 Edition

Our annual roundup of the most exciting developments in open source AI.

By Tomás García 5 min read
January 5, 2025

Remote-First Engineering: What Works

Lessons from building a distributed team across 12 countries.

By Emma Wilson 4 min read
✨ Lurnexa