Performance Optimization
Make your slow app fast. Lighthouse, profiler-driven, real-user-monitoring-informed.
Our Performance Optimization process
We review your codebase, infrastructure, and existing documentation before taking on any responsibility.
Error tracking (Sentry), uptime monitoring, and alerting configured if not already in place.
Prioritise outstanding bugs and tech debt into a clear sprint-ready backlog.
Regular cadence of bug fixes, dependency updates, security patches, and minor feature work.
Uptime report, incident log, work completed, and planned work for next period.
Technologies we work with
Industries we serve
Why choose Squash Apps for performance optimization?
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.
- ✓Engineers who understand the codebase — no ramp-up on every ticket
- ✓Proactive — we flag issues before they become incidents
- ✓Transparent monthly reporting with SLA tracking
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.
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.
Dedicated QA pod for a US B2B SaaS — automated regression in 6 weeks
A US B2B SaaS company hit a release-velocity wall. We embedded a 3-person QA pod (1 senior + 2 mid) running Playwright automation alongside the in-house engineers. Six weeks later regression coverage went from 12% to 71% and weekly release fear stopped owning the founders.