Custom Software Engineering for Scale & Performance
Azkkan engineers scalable web platforms, distributed microservices, and multi-tenant backends using TypeScript, React 19, Node.js, Go, and PostgreSQL. From high-concurrency SaaS applications to high-throughput transactional APIs, our software architectures deliver sub-100ms latency, strict type safety, and 99.9% uptime reliability.
Core Engineering Capabilities
Modular Micro-Frontends
Componentized UI frameworks powered by React 19 and Next.js, tuned for sub-second page transitions and zero layout shift.
React 19 / TypeScript / ViteDistributed API Gateways
High-throughput REST and GraphQL microservices structured with Node.js and Go for low latency and robust payload validation.
gRPC / GraphQL / Node.js / GoRelational & Vector Stores
Optimized PostgreSQL database schemas, Redis caching layers, and vector stores engineered to handle millions of queries with zero downtime.
PostgreSQL / Redis / pgvectorWho This Service Is For
B2B SaaS Founders
Founders building multi-tenant SaaS products requiring tenant schema isolation (PostgreSQL RLS), usage billing, and automated third-party notification APIs.
Scaleups Modernizing Stacks
Engineering teams migrating monolithic legacy applications to type-safe TypeScript/Go microservices and containerized Kubernetes clusters.
High-Stakes Web Platforms
Businesses requiring 99+ Google Lighthouse performance scores, instant sub-50ms API responses, and strict bank-grade data security.
TailorTech — Multi-Tenant SaaS Architecture
Discover how Azkkan engineered a usage-based SaaS platform for Pakistan's tailoring industry with automated WhatsApp Business API alerts and multi-tenant isolation.
Frequently Asked Questions
What tech stacks does Azkkan use for custom software engineering?
Azkkan engineers software using TypeScript, React 19, Next.js, Node.js, Go, Python, PostgreSQL, and Redis, deployed on Docker containers and Kubernetes & AWS cloud infrastructure.
How does Azkkan ensure software quality and longevity?
Every engagement follows our 5-phase engineering pipeline, automated CI/CD testing suites, zero-trust security guidelines, and peer code reviews.
Can Azkkan integrate with our existing in-house engineering team?
Yes. We collaborate seamlessly as an autonomous end-to-end squad or as specialized engineering augmenters for complex backend, API, and AI integrations.
What is the typical timeline to build and launch a custom SaaS MVP?
A standard multi-tenant SaaS MVP typically launches in 8 to 12 sprint cycles (approximately 2 to 3 months) following our structured milestone roadmap and weekly staging releases.