Our Process
How Empiryx works
Two validated tracks, run by the same team: scale an application you already have with AI infrastructure and engineering support, or build a dedicated engineering team from scratch.
Codebase & Product Audit
48 hrsA full technical review of your existing application, giving you a clear verdict — rebuild, refactor, or keep shipping — with reasons, not opinions.
Scale Roadmap & Architecture
3–5 daysWe design the fix plan — prioritized by impact — covering infrastructure, data, and the AI systems your product depends on.
AI Infrastructure & Performance Engineering
2–4 weeksHands-on engineering work — MLOps, DevOps, database, and application scaling — with AI automation built in as one part of the process, not the whole story.
Load Testing & Hardening
1–2 weeksWe stress-test the system under real-world traffic and harden it — security, reliability, and monitoring — before you scale further.
Ongoing Scale Support
OngoingAs traffic and complexity grow, we stay on as your fractional engineering partner — continuously optimizing infrastructure and cost.
Ready to start? We can help you scale an existing application with our AI infrastructure team, hire AI developers, build a full team, or set up an ODC in India.
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Hire AI Developers in India
Pre-vetted ML, NLP, LLM & CV engineers. Onboard in 7–10 days.
Offshore Development Team India
Dedicated offshore engineering team embedded in your workflows.
ODC & GCC Setup India
Start with an ODC. Evolve into a fully owned GCC as you scale.
Hire Machine Learning Engineers
ML Engineers, Data Scientists, NLP & MLOps specialists in India.
Build Engineering Team in India
Full-team formation — frontend, backend, AI/ML, DevOps, and leads.
AI Automation
n8n, Zapier & custom workflows that run your business on autopilot.
AI Engineering
RAG, fine-tuning, and AI agents built for production, not demos.
MLOps
Model serving, monitoring, and CI/CD for machine learning systems.
DevOps
CI/CD, infrastructure as code, and observability that scales.
Application Scaling
Performance audits and fixes that take your MVP to production-ready.
Database & Data Engineering
Database design, pipelines, and migrations built to last.