About

EveryTech is a scale engineering practice. Senior squads that design, build, and operate large-scale systems, with AI in governed production.

EveryTech is a scale engineering practice. We build and operate large-scale systems: the kind that carry millions of users, real-time money and policy decisions, and AI in governed production.

We are founder-led and senior-only. You work directly with JE Ramos, and when an engagement needs more hands, we assemble a small senior squad for that specific work, never a bench of juniors.

What we do

We design, build, and operate systems that have to stay up under real load: backend and platform architecture, native mobile (iOS and Android), real-time and event-driven systems, data and AI pipelines, cloud cost control, and the governance and incident discipline that keeps all of it reliable.

The track record we are built on

EveryTech is founded by JE Ramos. The proof behind the practice is operational, not theoretical:

  • Helped scale a social platform to 30M+ users at peak, the #3 most-downloaded app in the Philippines in early 2021, documented in an AWS case study: about +600% user growth at only about +50% monthly cost, with chat concurrency from 100K to 1M simultaneous users.
  • Co-architected server-driven UI for a national airline's 2.3M-MAU app, so screens ship from the backend without an app-store release.
  • Led platinum-SLA telecom restoration and incident RCAs across energy and telecom, including a payments credential-expiry incident.
  • Roughly 71% AI-assisted delivery measured across thousands of commits, with AI put into governed, observable production.

Industries

We work with teams in regulated, data-intensive, and high-scale industries: energy, fintech, telecom, airlines and travel, social media, e-commerce, and the wider consumer internet. The common thread is pressure, systems where downtime, cost, or a bad architecture decision is expensive.

How we work

GMT+8, with full overlap for Australian teams and early slots for Europe and the US. Founder-led, with senior specialists assembled per engagement, accountable for the outcome.

If you have a system under real load, a build that has to scale, or AI that needs to reach governed production, get in touch with your current bottleneck and target timeline.