EasyLiving Software Solutions builds enterprise-grade software, cloud infrastructure, data pipelines, and AI-driven systems for organizations that need to move faster and decide smarter. We also train the engineers who build them.
From product conception to production deployment — we cover the full technical stack.
We design and build production-grade web platforms, REST and GraphQL APIs, ERP systems, POS solutions, fintech applications, and business automation tools — engineered to perform at scale and adapt as your business grows.
Native and cross-platform mobile apps with a focus on performance, secure integrations, offline capability, and UX that your users will actually use.
We build the data infrastructure businesses run on — ingestion pipelines, ETL/ELT workflows, streaming systems, data warehouses, and orchestration layers using Spark, Airflow, Kafka, dbt, BigQuery, Snowflake, and Databricks.
From exploratory analysis and statistical modeling to ML models in production — we build systems that turn raw data into decisions. Specialties include predictive analytics, time-series forecasting, deep learning, and model optimization.
Cloud-native architecture, infrastructure-as-code, CI/CD pipelines, containerization with Docker and Kubernetes, and observability across AWS, Azure, and GCP. Reliable, secure, cost-efficient.
Technical SEO, content strategy, conversion-rate optimization, and analytics instrumentation. We help businesses get found, get clicked, and convert — with data to prove it.
Every solution starts with architecture. We design systems that won't break when your user base doubles.
Strategy, design, development, deployment, and post-launch support — under one roof.
Our team has worked across fintech, retail, logistics, healthcare, and public sector projects.
We use what the industry's best companies use — not legacy tools that create technical debt.
We architect for where you're going, not just where you are. Scalability is non-negotiable.
We measure success in outcomes, not invoices. Most clients stay with us well beyond project delivery.
Remote, cohort-based engineering training built around real industry tools and projects. No toy datasets. No abstract exercises. Real pipelines, real infrastructure, real outcomes.
Manual reconciliation across 14 agent branches. 3-day settlement cycles.
Custom fintech platform with automated settlement, real-time transaction ledger, and multi-agent role management.
Multi-branch retail operating on disconnected spreadsheets. No real-time inventory.
Custom ERP with centralized inventory, procurement, staff management, and POS integration.
Operations team making decisions on week-old reports.
End-to-end pipeline (Kafka → BigQuery → Looker) with live dashboards updated every 90 seconds.
Manual loan review with 48h turnaround and high default rates.
Trained and deployed a gradient-boosted ML model on historical transaction data, integrated into loan origination.
Hospitality group with no unified sales data across 5 venues.
Custom POS with cloud sync, inventory management, and consolidated reporting.
Monolithic application on a single server. No CI/CD, no observability.
Migrated to containerized microservices on AWS. CI/CD with Jenkins, monitoring with Grafana.
EasyLiving rebuilt our payment reconciliation system from scratch. The team asked questions that our previous vendor never thought to ask. They clearly understand how businesses actually operate.
We were skeptical about outsourcing our data infrastructure. Six months later, our analysts have dashboards that actually work in real time. The pipeline architecture they built is something we couldn't have done internally.
I enrolled in the Academy with no prior experience with cloud tools. By the end of the cohort I had a working Airflow DAG and a Snowflake warehouse. The curriculum is genuinely industry-relevant.
Whether you need to modernize your infrastructure, build a new product, or train an engineering team — let's map out exactly what that looks like.