Frequently Asked Questions

Your most common questions about our data services — answered clearly and simply.

We work with any business that relies on data — logistics, retail, restaurants, healthcare, ecommerce, finance, manufacturing, SaaS, and more. If you have data, we can help you use it effectively.

No. All work is completed by US-based engineers, analysts, and data scientists. You will always know who is working on your project.

Project timelines vary based on complexity. Small analytics projects may take 1–2 weeks; data pipelines or dashboard suites typically take 3–6 weeks; machine learning models or full platform builds may take 1–3 months. We provide a detailed timeline during discovery.

We keep pricing simple: $75/hr per resource. You can scale from a single expert to a multi-person team at any time.

Yes — we specialize in Azure, AWS, GCP, Snowflake, Databricks, BigQuery, and hybrid on-prem environments. We work wherever your data lives.

Absolutely. We build dashboards in Power BI, Tableau, Looker, and custom web-based dashboards using real-time data pipelines.

Yes — we offer optional ongoing support, monitoring, enhancements, and ad-hoc engineering help after your project is completed.