Abstract visualization of high-speed code execution
PORTLAND, OR ENGINEERING LAB

Achieve Peak Application Performance.

Your application is fast, but could it be faster? Our Portland-based experts surgically enhance your code for maximum speed, efficiency, and scalability. We go beyond automated linters to re-architect bottlenecks and reduce technical debt.

Latency Reduction
Memory Leaks Plugged

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From Bottlenecks to Breakthroughs

Quantifiable metrics dictate user retention. We turn red flags into green lights.

The Bottlenecks

  • Slow Compilation & Load Developer productivity stalls; users abandon startup.
  • Memory Bloat Foreground crashes and excessive battery drain.
  • Legacy Spaghetti Code Expensive to maintain, impossible to scale efficiently.

The Breakthroughs

  • Sub-100ms Interactions Silky smooth 120Hz scrolling and immediate feedback.
  • Optimized Resource Usage Reduced AWS/Azure tier costs via efficient compute.
  • Scalable Architecture Codebases ready for feature expansion without regression.

Our Optimization Methodology

A scientific approach to stripping away the superfluous.

1. Comprehensive Analysis

We utilize instruments like Xcode profiler and custom scripts to map CPU cycles, identify retain cycles, and visualize memory graphs.

2. Strategic Refactoring

Our engineers rewrite critical paths (hot loops), optimize complexity from O(n²) to O(n), and decouple monolithic classes.

3. Rigorous Verification

We benchmark 'before' and 'after' snapshops. Every optimization passes regression testing to ensure logic remains intact.

4. Detailed Reporting

You receive a line-by-line breakdown of improvements, quantifying the precise percentage of CPU and memory saved.

Technologies We Optimize

Specializing in Xcode, but fluent in the full modern stack.

Swift
React Native
Python
C++
Node.js
Data visualization of improved database query performance
Case Study

Portland FinTech App Overhaul

A local financial startup struggled with 8-second data sync times, eroding user trust. Our team profiled the CoreData implementation, identified locking on the main thread, and implemented a background context caching layer.

85%

Sync Time Speedup

20%

Session Length Incr.

Read Full Analysis

Optimization Service FAQs

A typical initial Performance Audit takes 1-2 weeks. Implementation timelines vary based on the complexity of the bottlenecks identified, but most targeted refactoring projects are completed within 3-4 weeks.

Absolutely. We often work as a "Special Ops" unit alongside your in-house team. We not only fix the immediate issues but also provide knowledge transfer sessions, training your developers on how to maintain high-performance standards moving forward.

Security is paramount. All our engineers are based in the US and work under strict NDAs. We utilize secure, encrypted VPN access to your repositories and never store source code on unmanaged devices. We are happy to comply with your specific DevSecOps protocols.