Data Engineering, BI & Visualization
Data pipelines, warehouses (Snowflake / BigQuery / Redshift), Power BI / Tableau / Metabase dashboards.
Our Data Engineering, BI & Visualization process
Free 30-min call to evaluate ROI, feasibility and data readiness. We tell you if AI isn't the right solution.
Review existing data sources, quality, and accessibility. Define what the model will be trained on or grounded in.
2–4 week sprint to a working prototype — RAG pipeline, copilot, or automation workflow — deployed in your environment.
Benchmarked against your success criteria. Guardrails, confidence thresholds, and fallback paths configured.
Deployed to your cloud, connected to your data sources, with monitoring, cost controls and an audit log.
Technologies we work with
Industries we serve
Why choose Squash Apps for data engineering, bi & visualization?
20+ years shipping production software. Built Kuyil AI (our AI assistant platform) and Garuda (clinic management SaaS) — along with 500+ client projects across SaaS, HealthTech, FinTech, Logistics and eCommerce.
Personally reviews every engagement’s first sprint: architecture, code quality, delivery discipline. Not a sales handoff. The CTO stays in the room.

Demonstrating Kuyil AI · Dubai Tech Summit
Related services
Tell us what you want to ship.
We respond within 24 hours with a written proposal.
- ✓Free use-case review — we validate before you commit
- ✓Private deployment — your data never leaves your cloud
- ✓Full IP ownership — no vendor dependency
What we've shipped on engagements like this.
Scaling delivery velocity for a HealthTech SaaS platform
Clinic & patient records SaaS stuck at 2 engineers. We added a pod, rebuilt CI/CD, and quadrupled shipping speed.
Sports data & gaming platform — engineering scale for peak season
Real-time predictions, live scores, community features. We owned mobile + backend through three peak sports seasons.
Cloud logistics platform for 1,000+ concurrent enterprise users
Built a cloud-based logistics management platform with a full engineering pod. The client went completely digital and achieved 39% revenue growth in the first year post-launch.

