Faster apps, measured not guessed. We profile before we touch anything, benchmark every change, and never trade correctness for a number on a chart.
Trusted by teams worldwide
Six service lines covering every layer where latency actually accumulates.
Performance work goes wrong when it is done on instinct. Our method, backed by our database and infrastructure teams.
Distributed tracing and flame graphs pinpoint the exact bottleneck. We fix the 20% of code causing 80% of the slowness, not arbitrary rewrites.
Every optimisation is validated with before/after load test results. You see the numbers, not just our word for it: p50, p95, p99 response times docum
All optimisations are made with zero change to API contracts or user-facing behaviour. Regression test coverage is expanded, not reduced.
DataLoader, eager loading, and query batching: the most common cause of catastrophic database performance solved systematically.
CDN, HTTP cache headers, Redis application cache, and query result cache: the right cache at every layer of the stack.
Code splitting, tree shaking, lazy imports, and dynamic loading cut JavaScript bundle sizes by 60–80% on average.
We profile your slowest paths and tell you where the time actually goes, ranked by effort against impact. Most teams are surprised by at least one finding.
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A process built on evidence, so every change has a number attached to it.
We profile real traffic and rank bottlenecks by impact against effort, then fix a quote.
Target metrics and acceptance thresholds agreed before any code changes.
Fixes shipped incrementally, each one benchmarked against the baseline.
Load testing and regression testing so nothing gains speed by breaking.
Monitoring and budgets in place so performance does not quietly regress.
Typical range once N+1 patterns and indexing are addressed.
Lighthouse scores achieved on optimised frontends.
Common saving once workloads are right-sized after tuning.
Regression tested, because faster and wrong is not faster.
Real products, real users, real numbers, across health, mobility, delivery and education.
Mood tracking, guided sessions and personalised wellness plans in a warm, calming experience.
Live driver tracking, surge-aware fare estimation and multi-payment support in a fast, reliable app.
Live order tracking, smart dispatch and route optimisation that cut delivery times across 200+ restaurants.
Coach matching, personalised study plans and adaptive progress tracking for 10K+ students.
Six places latency usually hides, and where we have measurably removed it.
Where most application slowness actually originates.
Serialisation, blocking calls and chatty services.
What the user actually experiences as slow.
Cold start, jank and battery cost.
Right-sizing after the code is actually fast.
Systems that only fail on the day it matters.
“Appther built our student competition app exactly the way we envisioned it: easy registration, smooth judging, and real-time results that keep participants engaged.”
“Building a mental health app means every detail has to be handled with care, and Appther got that from day one. The product feels warm, simple, and genuinely helpful.”
“Appther exceeded every expectation, on time and on budget, and the final product has been instrumental in scaling our business. A rare engineering partner.”
“Implementing an ERP across our operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
Field notes from real builds. No hype, just what worked and what didn't.
Why the bottleneck is almost never where the team assumes.
What actually moves LCP and INP on a real site.
Where it genuinely helps, and where it hides the real problem.
A clear breakdown of scoping and expected return.
Walk away from one call with the likely bottleneck, a fix order ranked by impact, a realistic budget range and a timeline. No pitch deck, no obligation.
Tell us what feels slow and to whom. No sales pitch, just a straight answer on approach, scope, timeline and cost. Prefer email? Use our contact page.
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