Software architecture & engineering startup

Engineering systems built to scale.

LogicScale is a software architecture and engineering startup — a consultancy that takes other startups from a fragile MVP that worked in the demo to a production-grade system that survives real traffic, real incidents, and real growth, without a year-long rewrite along the way.

Based in

Kathmandu, Nepal

Focus

Architecture · Infrastructure · Reliability

Engagement

6–16 weeks

9

Years operating

40+

Systems shipped

11 wks

Average engagement

0

Rewrites abandoned mid-way

How we work

Four steps, no surprises.

01

Assess

We start by reading the system, not the pitch deck — the actual codebase, the actual infrastructure, the actual incident history.

Most engagements begin with one to two weeks of structured technical discovery: architecture review, a pass through recent incidents and postmortems, and direct conversations with the engineers who've been holding the system together. We're looking for the gap between what the team believes is true about the system and what's actually true — that gap is usually where the real risk lives.

02

Architect

A written plan with the tradeoffs on the page — what we're optimizing for, what we're explicitly not solving yet, and why.

We don't hand over a diagram and disappear. The architecture plan names the specific failure modes it's designed to prevent, the ones it deliberately leaves unaddressed for now, and the sequencing — because a startup rarely has the runway to fix everything at once, and pretending otherwise just produces a plan nobody can actually execute.

03

Build

Senior engineers writing and shipping the actual system, in increments small enough to verify, not one big-bang rewrite.

We work in a cadence that keeps the system shippable throughout — no six-month branch that merges once and breaks everything. Each increment is independently deployable and independently useful, so if an engagement ends earlier than planned, you're left with real, working progress instead of a half-finished rewrite.

04

Scale

Load testing, runbooks, and a handoff that leaves your team able to operate the system without us — that's the actual goal.

Before we call an engagement done, the system has been load-tested against realistic traffic, the on-call rotation has a runbook that reflects what we actually built, and your engineers have walked through the architecture with us directly. We're not trying to make ourselves indispensable — the measure of a good engagement is that you don't need us for the next one.

What we do

Seven disciplines, one accountable team.

Each engagement draws on whichever of these a system actually needs — never the whole list by default.

Software Architecture

System design that holds up under real traffic, not just in a whiteboard diagram — made with the tradeoffs written down, not buried in someone's memory.

Architecture review and audit of existing systems
Greenfield system design for new platforms
Data modeling and storage strategy
Technical due diligence for fundraising or acquisition

Backend Engineering

The engineering work that happens after the design doc — building, testing, and shipping the systems your product actually runs on.

API design and implementation
Database design, migrations, and query optimization
Event-driven and asynchronous system design
Embedded senior engineers inside your existing team

Cloud Infrastructure

Infrastructure defined as code, built to survive a deploy, a traffic spike, and the engineer who set it up leaving the company.

Infrastructure-as-code with Terraform
Kubernetes architecture and cluster design
Multi-environment setup (dev, staging, production parity)
Cost audits and infrastructure right-sizing

System Modernization

Incremental, measurable paths off legacy systems — without the year-long feature freeze a full rewrite usually demands.

Legacy codebase audits and modernization roadmaps
Monolith-to-services migration strategy
Incremental rewrite planning with regression safety nets
Framework and language version upgrades

Performance Optimization

Profiling before guessing — finding the handful of queries and code paths actually responsible for the slowness your users feel.

Full-stack performance audits and profiling
Database query and index optimization
Caching strategy design and implementation
Load testing and capacity planning

DevOps

CI/CD pipelines and deployment processes built so shipping is routine, not an event that happens late on a Thursday.

CI/CD pipeline design and implementation
Deployment automation and rollback strategy
On-call process and incident runbook design
Observability, logging, and alerting setup

Security & Reliability

Access-control models and reliability practices that hold up to an actual audit, not just a checklist someone filled out once.

Access-control and authorization model design
Security audits and remediation roadmaps
Reliability engineering and SLA design
Incident response process and postmortem culture

What clients say

They read our incident history before our pitch deck. That told us everything about how this engagement was going to go.

— CTO, fintech startup

We'd budgeted for a full rewrite. They talked us out of it and fixed the actual problem in six weeks instead.

— Founder, logistics startup

The handoff documentation alone was worth the engagement. Our team could actually operate what they built.

— VP Engineering, B2B SaaS

Start a project

Got a system that worked at launch and is starting to crack?

Tell us what's breaking and where. If it's a good fit, you'll hear back from an engineer directly — not a sales rep.