Discovery

When you come to us with your idea, we start by analyzing your requirements, goals, and the feasibility of the project. This step helps both sides: you polish your idea and clarify demands while we understand your business and estimate the project’s timeline and costs.

Data Exploration

Our AI engineers run exploratory data analysis on your existing datasets and infrastructure to confirm there is enough signal for the project. We clean the data, identify gaps, and design how to use it as efficiently as possible before any model work begins.

Development

For larger projects we start with a small-scale prototype to validate that the final model will work in practice. Once the concept is proven we move to full-scale development in two-week sprints with daily updates and a weekly call to share progress.

Testing & QA

Our QA specialists run a wide range of tests — accuracy, latency, edge cases, prompt-injection and hallucination checks for LLM-based features — to make sure the final model behaves reliably. Anything that needs fixing gets resolved before deployment.

Deployment

We integrate the AI solution into your infrastructure with proper observability, cost monitoring, and guardrails. You start using it in production and can immediately measure the impact on the parts of your business it touches.

Monitoring & Support

AI models drift as data shifts, so deployment is not the end. ENQCODE provides ongoing monitoring for accuracy, cost, latency, and safety — plus retraining and updates as needed — so the system keeps performing long after launch.