Engineering Services
Solutions That
Scale
From modern SaaS buildouts and AI product engineering to specialized technical consulting — we deliver high-impact engineering that drives sustainable business growth.
Custom Software Development
High-performance web, mobile, and desktop application development engineered for scalability and user experience.
AI & Machine Learning Solutions
Bespoke AI models, predictive analytics, and intelligent automation systems that drive business intelligence.
Model Fine-Tuning & LLMs
Fine-tuning open-source LLMs (LLaMA, Mistral, Falcon) and vision models on proprietary datasets for specialized domain performance.
Live Technical Consulting
On-demand technical leadership, architecture reviews, and high-level pair programming sessions via real-time collaboration.
Strategy & Digital Transformation
Empowering enterprises with specialized technical consulting and digital roadmaps that modernize operations.
Product Engineering
End-to-end product delivery from conceptual design to production-ready deployments and continuous scaling.
DevOps & Cloud Engineering
Robust CI/CD pipelines, cloud orchestration, and infrastructure-as-code engineered for maximum uptime.
Enterprise ERP Systems
Modernizing internal business ecosystems with specialized integrations for Odoo, Salesforce, and custom ERPs.
UI/UX Design Systems
User-centric research and high-fidelity design systems built for modern digital products and engineering teams.
Technical Depth
Our Core Competencies
Technical Capabilities & Architecture FAQ
Services & Engineering FAQ
Answers regarding our engineering velocity, dedicated pod composition, open-source model fine-tuning, and cloud architecture standards.
What is CoreLogix’s full spectrum of software development services?+
CoreLogix provides comprehensive custom software engineering including cloud-native web applications (Next.js, React, Node.js), enterprise backend architecture (FastAPI, Python, Go, NestJS), mobile app development (React Native, Flutter), AI & LLM model fine-tuning (RAG pipelines, vector search), and dedicated engineering pods for global scale.
How does CoreLogix implement open-source LLM fine-tuning and AI pipelines?+
We engineer secure AI pipelines using open-source foundation models (such as LLaMA, Mistral, and Falcon) fine-tuned on your organization’s domain data. We implement Retrieval-Augmented Generation (RAG) using pgvector and Pinecone, ensuring data privacy, low-latency inference, and zero reliance on public model retraining.
How do CoreLogix dedicated engineering teams integrate with internal client teams?+
Our dedicated engineering pods function as a direct extension of your internal technical department. Teams operate on your communication channels (Slack, Microsoft Teams, GitHub, Jira), follow 2-week agile sprints with daily standups, and provide transparent Git commit activity with full IP ownership.
What software quality, testing, and security standards are guaranteed?+
Every codebase is built with strict architectural separation of concerns, automated CI/CD pipelines, >85% unit and integration test coverage, automated static code analysis, and OWASP Top 10 security compliance audits prior to production deployment.
What cloud infrastructure and DevOps platforms do you support?+
We architect and optimize cloud infrastructure across Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Cloudflare Workers (edge compute). We utilize Terraform for Infrastructure-as-Code (IaC), Docker, and Kubernetes for container orchestration.
Ready to Accelerate Your Engineering?
Contact us today to discuss your technical challenges and how our engineering team can help you build the future.