Data & AI Solutions
Data and AI solutions cover building the pipelines and infrastructure that make a company's data usable, plus the analytics and applied AI/ML built on top of it. Nex Lab Systems designs data pipelines and warehousing, builds reporting and analytics, and integrates applied AI and machine learning — including large language model integrations — into existing products, for companies whose data currently lives in disconnected systems.
What's included
- Data pipeline design and ETL/ELT engineering
- Data warehousing and modeling (Snowflake, BigQuery, or equivalent)
- Business intelligence dashboards and reporting
- Applied machine learning model development
- Large language model integration into existing products
- Data quality and governance processes
- MLOps — model deployment, monitoring, and retraining pipelines
- A data audit identifying what's usable today versus what needs cleanup first
Our process
- 01
Audit
We map where data actually lives today and how clean it is — most projects lose the most time here if it's skipped.
- 02
Pipeline
We build the pipelines and warehouse model that make the data queryable and trustworthy, not just centralized.
- 03
Apply
Analytics, dashboards, or an ML/AI model get built on top of a validated pipeline, so the output is only as good as data that's already been checked.
- 04
Operate
Deployed models and pipelines get monitoring and a retraining or refresh cadence, so accuracy doesn't quietly decay after launch.
Related work
Frequently asked questions
Further reading
Where to Start with Applied AI: A Practical First ProjectReady to talk data & ai solutions?
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