Frequently Asked Questions

We operate with delivery teams in Nepal and a US presence in Boston, Massachusetts. Our primary engineering hub is in Kathmandu / Lalitpur, Nepal, where most of our product squads are based. In the United States, you’ll find us at 867 Boylston Street, Boston, MA.

This dual-hub setup gives clients senior engineering talent, room to scale cost-effectively, and overlapping hours for collaboration with North American and global stakeholders.

We work with product teams and enterprises worldwide. Geography is rarely a blocker. Our largest client bases are in the United States, Australia, the United Kingdom, and Southeast Asia, with additional engagements across Europe and South Asia.

Whether you need an embedded squad, a fixed-scope MVP, or a rescue mission for a stalled product, we structure communication, delivery cadence, and support around your time zone and business context.

Over 10+ years, Gurzu has delivered 200+ products across web, mobile, IoT, travel, fintech, health, fashion, and SaaS. Today our team includes 50+ engineers working from US and Nepal delivery hubs.

You can see published outcomes on our success stories page — including OneOS, Designerex, Hamrotrips, Reveiled, CRISTA, and other systems clients still rely on every day.

Gurzu brings 14+ years of delivery experience with product thinking, modern engineering, and long-term support — not just code output. We offer end-to-end capabilities from product design through QA automation, DevOps, and AI integration.

Engagement is flexible: fixed scope, team augmentation, rescue missions, and maintenance. We have domain depth across travel, fintech, IoT, health, and SaaS with 200+ shipped products. Our teams stay current on Rails, AI, security, and delivery practices through a strong learning culture.

We’re headquartered in Lalitpur, Nepal, with a US presence for client collaboration. Learn more in our overview of software development in Nepal.

Nepal has become a popular place to build software with global teams. You get strong engineering talent, competitive rates compared to the US, UK, and Australia, and teams used to working across US and European time zones.

English is widely spoken in professional settings. Many companies here work in agile, iterative ways with active Scrum and Kanban communities. The combination of skill, cost efficiency, and time zone overlap makes Nepal a practical offshore destination without sacrificing delivery quality.

Gurzu has operated from Nepal since 2014, delivering products for clients worldwide. Read more in our guide to advantages of offshore development in Nepal.

Product engineering at Gurzu means owning outcomes from discovery through release — not just shipping tickets. Cross-functional squads combine product thinking, UX design, full-stack engineering, QA, and DevOps to build, launch, and improve software products.

That includes product design, web and mobile development, Ruby on Rails, AI integration, and software rescue when a product needs stabilization or modernization.

For outcome-driven partnerships with AI-augmented execution, see our Product Engineering Partner offering.

Product design is a core capability at Gurzu — often the first step to software development before build begins.

Our process moves through four phases. Understand covers user research and problem framing. Define covers personas, journeys, and information architecture. Design covers wireframes, UI, and prototypes. Validate covers usability testing and Design QA. The goal is experiences that are intuitive, on-brand, and ready for engineering handoff.

Case studies include FotoSphere and UniTaskPro. See the full product design process at Gurzu.

We provide ongoing maintenance to keep production systems secure, stable, and release-ready. That includes Ruby on Rails maintenance for upgrades, bug fixes, and feature iteration. We also maintain mobile apps, server infrastructure, and Shopify stores.

Maintenance engagements include clear SLAs, release discipline, and a named engineering team that understands your codebase history. You’re not starting from scratch every time something needs attention.

Our engineers work across modern web, mobile, data, and cloud stacks. On the backend we use Ruby on Rails, Elixir, Python, Node.js, PHP, and Rust. For front ends we work in React, Vue.js, TypeScript, and GraphQL. Mobile delivery covers React Native, Flutter, iOS, and Android.

For data we use PostgreSQL, MySQL, MongoDB, and Redis. For QA we use Cypress, Playwright, Selenium, and Postman. For cloud and DevOps we use Docker, Kubernetes, AWS, GCP, Azure, and Jenkins.

We choose technology based on product requirements, team fit, and long-term maintainability — not hype. Explore our services for stack-specific delivery pages.

We provide DevOps and cloud engineering for production Rails and polyglot applications. That includes Docker containerization, CI/CD pipelines, cloud infrastructure on AWS, GCP, and Azure, and modern Kamal deployments.

Kamal lets teams ship containerized Rails apps to owned servers without Kubernetes complexity — a pattern we use for simpler, faster production rollouts. Our engineers also work with Kubernetes, Ansible, Capistrano, GitLab CI/CD, and monitoring tools like Sentry.

See our Kamal deployment guide and Rails resilience architecture.

Through team augmentation, we provide senior talent that embeds directly in your product organization. Common roles include frontend engineers, backend engineers, mobile developers, designers, QA specialists, DevOps engineers, and engineering leads.

On the technical side we cover React, Vue, TypeScript, Ruby on Rails, Node.js, Elixir, Python, iOS, Android, React Native, and Flutter. Augmented engineers follow your tools, ceremonies, and codebase conventions — adding capacity without the months-long hiring cycle.

We regularly build mobile and wearable products that communicate with Bluetooth Low Energy devices. We work in Flutter, React Native, and native iOS/Android — handling the tricky parts like platform channels, command queues, and reliable device-to-app connections.

Our BLE experience spans consumer wearables, luxury watch integrations, and IoT companion apps. A representative project is OneOS. We’ve also published deep dives on Flutter BLE platform channels and building reliable BLE APIs with Dart.

For more on connected-device work, see the Wearatec case study.

We help product teams improve technical SEO as part of web delivery. That covers crawlability, structured data, page performance, metadata, sitemap strategy, and front-end work that supports Core Web Vitals.

We’ve applied these practices on products like Extend My Life, documented in our technical SEO case study. SEO improvements work best alongside solid information architecture from our product design and web development teams.

If organic search matters for your acquisition strategy, mention your SEO goals during discovery.

Ruby on Rails is a core Gurzu stack. We’ve shipped Rails products since 2014 and actively contribute to the Ruby community through meetups, RubyKaigi participation, and engineering blogs.

Our Rails teams build SaaS platforms, APIs, admin dashboards, and eCommerce backends. We use modern practices like service objects, testing discipline, Hotwire/Turbo front ends, Kamal deployments, and performance tuning at scale.

Explore our Ruby on Rails development service and articles on Rails best practices and resilient Rails architecture.

We use Hotwire and Turbo in Rails 7+ applications to deliver fast, responsive web experiences without heavy JavaScript SPA complexity.

Hotwire combines Turbo Drive, Turbo Frames, Turbo Streams, and Stimulus for partial page updates and real-time UI changes. Business logic stays in Ruby, which keeps apps maintainable and page loads fast.

Read our guide to Hotwire and Turbo in Rails 7. For full-stack delivery, pair this with our web development and Rails services.

When a single database becomes the bottleneck, we design horizontal sharding strategies for Rails apps. That means partitioning data across databases while keeping query patterns, migrations, and application behavior correct.

We only recommend sharding when product growth actually demands it. First we look at read/write patterns, tenant boundaries, and operational complexity — then we propose partition keys and a rollout plan.

Learn more in our horizontal sharding in Rails article, or discuss scaling needs during a DevOps consultation.

We build React web front ends and React Native cross-platform mobile apps. That includes Firebase integrations, in-app chat, test suites with Vitest and React Testing Library, and React Native’s new architecture where it improves performance.

Our React engineers follow component-driven development and accessibility-aware UI patterns. Mobile delivery includes App Store and Play Store release support.

See mobile development services, our React Native getting started guide, and React testing with Vitest.

Flutter is one of our go-to stacks for polished cross-platform mobile. We deliver Flutter apps for iOS and Android using structured architectures like BLoC, plus native integrations for Bluetooth, wearables, and device-specific APIs.

It’s a strong fit when you want one codebase with refined UI, offline-capable experiences, or companion apps for connected hardware — without maintaining separate native codebases.

Explore Flutter app architecture with BLoC, Flutter BLE platform channels, and our mobile development services.

We build products on the MERN stack — MongoDB, Express.js, React, and Node.js — for APIs, dashboards, and full-stack web apps where JavaScript end-to-end makes sense.

We apply the same delivery discipline as on Rails: iterative sprints, code review, automated testing, and production-ready deployment pipelines.

Our team has published a MERN stack tutorial series. See also web development for broader stack options.

We recommend architecture based on product stage, team size, and operational maturity — not trends. For most early-stage products, start with a monolith. It keeps a small team focused on one deployable unit and speeds up validation of product-market fit.

Consider microservices when independent scaling, separate team ownership, or different technology per service justify the added operational complexity. When microservices are the right call, we’ve deployed containerized services on Kubernetes and GCP for IoT and high-scale workloads.

Read Microservices — The Right Choice and our GCP Kubernetes deployment case.

Our DevOps and cloud engineering team deploys containerized applications on Kubernetes, including production clusters on Google Cloud Platform (GCP). We configure networking, storage, autoscaling, and observability for reliability.

We’ve deployed microservices on GKE for IoT-backed products like smart ring infrastructure. We also support AWS, Azure, and lighter options like K3s and Kamal when simpler ops make more sense.

See how we deployed microservices on GCP with Kubernetes and Kamal deployment for Rails.

Our QA engineers use Cypress and Playwright for browser-based end-to-end automation. That covers critical user journeys, regression suites, and CI-integrated test runs. We also run API testing with Postman and unit/integration tests alongside.

Tool choice depends on your application stack, tolerance for flaky tests, and pipeline constraints. We automate what protects release confidence. Exploratory testing still covers edge cases automation misses.

Read our guides on Cypress web automation and Playwright E2E testing. See also QA automation services.

We include load and performance testing when products face traffic spikes, SLA requirements, or infrastructure scaling decisions.

We use tools like Apache JMeter to simulate concurrent users, measure response times, and find bottlenecks before production incidents. We pair that with NGINX tuning and cloud scaling recommendations where needed.

Learn the basics in our JMeter load testing guide and NGINX concurrent connections at scale. Discuss performance goals during QA automation scoping.

Accessibility is built into how we design and develop web products. Applications should work for people with visual, auditory, motor, and cognitive differences — not just pass a checklist at the end.

Our practices include semantic HTML, keyboard navigation, strong color contrast, and screen-reader-friendly markup aligned with WCAG-oriented guidelines. Accessible design improves usability for everyone, not only people who rely on assistive technology.

Our team covers the principles in web accessibility guidelines and applies them through product design and web development.

Well-designed APIs are the backbone of most modern products. We design and build RESTful APIs and GraphQL endpoints for web, mobile, and third-party integrations — with versioning, authentication, and documentation from the start.

On Rails we often use Grape for structured API layers. We also guide clients through GraphQL migrations, including Shopify Admin API transitions from REST to GraphQL.

See building RESTful APIs with Grape in Rails and REST to GraphQL Shopify migration.

We integrate Firebase into React Native and mobile products for real-time features — in-app chat, push notifications, authentication, and live data sync.

Firebase fits when you need rapid real-time capabilities or Google ecosystem tooling. We pair it with secure API design and appropriate backend ownership for business-critical data.

Read our tutorial on adding chat to a React Native app with Firebase or discuss scope via mobile development.

We set up Sentry for production error monitoring and performance tracking across Rails, React, React Native, and other stacks. Teams get stack traces, release context, and alerts before users start reporting issues.

Sentry integrates into CI/CD and release workflows so regressions surface early. We configure environments, source maps, and sampling policies appropriate to each product.

See Sentry monitoring and tracking application errors, integrating Sentry into Rails, and Sentry for React Native.

We build Wear OS companion apps and wearable experiences that pair with mobile apps and connected devices. That includes notification flows, health data surfaces, and BLE-linked hardware products.

Wearable delivery needs tight coordination between phone apps, watch UI constraints, battery life, and device pairing. We have case studies like OneOS and Wearatec that show this work in production.

Read decoding the Wear OS ecosystem and Flutter BLE platform channels for related engineering depth.

Cloud bills and performance bottlenecks rarely fix themselves. We help teams migrate, right-size, and optimize cloud infrastructure — including moves between providers like AWS and Linode, containerization, CI/CD improvements, and cost tuning.

Every infrastructure project is scoped with downtime risk assessment, rollback plans, and post-migration monitoring. We use Ansible, Docker, Kubernetes, Kamal, and other cloud-native tools depending on what your operations need.

See our write-up on migration from AWS to Linode and our DevOps and cloud engineering services.

We use agentic and AI-assisted engineering — tools like Copilot, Claude, and Cursor — to accelerate Rails and full-stack delivery. Senior engineers stay accountable for architecture, security, and code quality throughout.

Our operating model is Delegate. Review. Own. AI drafts implementation. Humans set constraints, review every change, and own production outcomes. We’ve shipped Rails products this way without sacrificing maintainability.

Read agentic engineering in practice with Rails and the AI-Augmented Engineering Playbook.

Ruby on Rails is built for speed of delivery without sacrificing structure. Sensible conventions reduce boilerplate and decision fatigue. The MVC pattern keeps codebases organized and easier to extend sprint over sprint.

Rails ships with routing, database tools, mailers, background jobs, and security primitives out of the box. A rich gem ecosystem covers auth, payments, admin panels, and integrations. Built-in testing culture with RSpec and Minitest supports quality at velocity. Hotwire/Turbo delivers responsive UI without maintaining a heavy JavaScript SPA.

At Gurzu, 40+ senior Rails engineers pair this stack with AI-augmented delivery to reach market faster while keeping code review, QA, and security gates in place. Explore Ruby on Rails development and Rails best practices.

Startups and SaaS teams choose Rails because it balances iteration speed with long-term maintainability. You can ship an MVP in weeks, then evolve the same codebase as product-market fit emerges.

Rails has proven patterns for multi-tenant SaaS, subscriptions, admin panels, and APIs. Strong conventions help new engineers onboard quickly as the team grows. Mature tooling for background jobs, caching, and database scaling supports growth when traffic increases.

We’ve launched products like CRISTA and WOLO on aggressive timelines using Rails. See our Rails service page and agentic Rails engineering approach.

Rails is a proven stack for eCommerce and marketplace products. It prioritizes developer productivity and ships complex commerce flows quickly.

Teams build on Rails for catalog, cart, checkout, and admin development with mature patterns. Integrations for payments, shipping, tax, and third-party APIs are well supported. The architecture scales as order volume and vendor count grow. Our commerce experience includes Shopify apps, custom marketplaces, and retail platforms.

We combine Rails speed with product design and QA discipline so teams can respond to market quickly without quality trade-offs. See eCommerce development and Shopify app development.

Hotwire lets teams deliver SPA-like responsiveness while keeping business logic on the server in Ruby. That reduces front-end complexity and speeds delivery compared to a heavy JavaScript single-page app.

Pages load faster because HTML is rendered on the server. Turbo Frames and Turbo Streams update parts of the page without full reloads. Less JavaScript means less to build, test, and maintain. SEO and accessibility foundations are also easier to get right.

Rails 7 ships Hotwire by default. We use Hotwire/Turbo on production Rails apps where full SPA overhead isn’t justified. Read Hotwire and Turbo in Rails 7.

An MVP (Minimum Viable Product) lets you test assumptions with real users before investing in a full feature set. A well-defined MVP typically takes 8–16 weeks and focuses on the smallest set of features needed to learn whether you’re solving a real problem.

Building an MVP first helps you learn from user feedback instead of guessing requirements upfront. It conserves budget and reduces rework on features nobody needs. You also establish a technical foundation you can extend — not throw away.

We scope MVPs around must-have outcomes and clear acceptance criteria, often under fixed scope engagements. Case studies like WOLO show how focused scope accelerates learning. Book a discovery call to define your MVP path.

Product design is often the first step to software development because building the wrong thing fast is still waste.

Design upfront helps you understand user problems through research, validate ideas with prototypes before expensive engineering, and define clear requirements for development. It reduces rework from usability gaps discovered after launch and aligns stakeholders on what success looks like.

Our design process moves through Understand, Define, Design, and Validate — including design sprints for rapid discovery. Start with product design services before committing to a full build.

Off-the-shelf software works well for generic workflows. It starts to break down when your operations, pricing, integrations, or user journeys are genuinely unique.

Custom software makes sense when generic tools can’t support your booking flows, APIs, or compliance rules. It’s also the right call when you need deep integration with GDS systems, payments, IoT devices, or internal tools — or when you want to own your data model and roadmap without vendor lock-in.

Hamrotrips saw 30% growth in daily bookings after replacing generic tooling with custom travel software. Read custom software for travel agencies or explore business solutions for industry-specific builds.

Team augmentation adds senior engineers to your existing product team without the long cycle of recruiting, onboarding, and bench cost.

It makes sense when you need to scale capacity quickly for a roadmap push or deadline. It’s also a fit when you need skill gaps filled — Rails, React Native, QA, DevOps — without permanent headcount. Embedded engineers work as part of your team using your processes, tools, and codebase.

Our augmentation engineers follow your ceremonies and standards, with TDD, CI/CD, and AI-assisted delivery practices built in. Learn more on team augmentation.

QA automation pays off when it runs throughout development, not only before release. Catching regressions as features land is far cheaper than fixing bugs in production.

Early automation also lets teams ship faster with confidence on critical user flows and APIs. It supports frequent releases in agile and CI/CD pipelines and frees manual QA for exploratory testing on edge cases automation misses.

We use Cypress, Playwright, and API suites alongside shift-left QA practices. Teams that delayed testing often see velocity slow as codebases grow — we’ve taken clients from 0 to 100% test automation in six months. Read QA collaboration in early project stages and QA automation services.

React Native lets teams ship iOS and Android from one codebase. It’s ideal when you want faster mobile delivery, shared logic with a React web app, and access to a large JavaScript talent pool.

You avoid maintaining two separate native codebases. React Native’s New Architecture improves performance and responsiveness. The ecosystem supports Firebase, chat, payments, and third-party SDKs well. Hot reload and a component-based model speed up day-to-day iteration.

We build production React Native apps with testing, Sentry monitoring, and store release support. See mobile development and React Native’s new architecture.

Flutter delivers consistent, polished UI across iOS and Android from a single Dart codebase. It’s a strong choice when mobile UX quality and custom interfaces matter more than squeezing into platform defaults.

You get one codebase with native-level performance. Flutter handles rich custom UI well and supports architectures like BLoC for predictable state management. Platform channels also let you connect to BLE devices, wearables, and other native hardware.

We use Flutter for consumer apps and IoT companion products. Explore Flutter BLoC architecture and BLE platform channels.

Microservices split an application into independently deployable services. They’re useful when teams or scale demand separation — not as a default for every new product.

Consider microservices when high-traffic components like booking and payments need to scale independently. They’re also a fit when different teams own different services with separate release schedules, or when fault isolation matters so one failure doesn’t take down the whole platform.

For MVPs and early products, a well-structured monolith is often faster and simpler. We recommend architecture based on stage, not trends. Read Microservices — The Right Choice and our GCP Kubernetes deployment experience.

AI in software development accelerates implementation — drafting code, tests, and documentation — while engineers retain accountability for architecture, security, and quality.

Used responsibly, AI helps teams ship features faster without skipping review and QA gates. It supports exploration during discovery and prototyping and automates repetitive coding and test scaffolding. It also enables intelligent product features like copilots, RAG, and workflow automation.

The risk is shipping unreviewed AI output. Our model is Delegate. Review. Own. — AI assists; senior engineers govern. Read the AI-Augmented Engineering Playbook and AI integration services.

Technical documentation turns team knowledge into durable assets that reduce risk as products and teams grow.

Good documentation helps you onboard engineers faster, operate production systems confidently, and hand off maintenance without depending on one person. It also supports audits, compliance, and security reviews when those matter.

We deliver runbooks, API references, architecture notes, and handoff sessions as part of professional delivery — not as an afterthought. Read the importance of technical documentation.

Shipping a long feature list doesn’t guarantee product success. Delivering value means solving the user’s core problem with the smallest set of capabilities that moves the business forward.

Prioritizing value keeps sprints focused on outcomes like conversion, retention, and operational efficiency — not vanity features. It helps teams hit tight deadlines without sacrificing quality on what matters most. Everyone stays aligned on impact rather than ticket volume.

We learned this on a two-week delivery where value-focused scope beat a bloated backlog. Read delivering feature vs delivering value and our product engineering approach.

Design QA protects the user experience by verifying that built UI matches design intent — spacing, typography, states, interactions, and responsive behavior.

Without it, small visual and UX drift compounds into a product that feels inconsistent and unfinished, even when features technically work. Users judge quality from what they see and touch, not backend correctness alone.

We run Design QA as a formal step in delivery. It catches gaps between mockups and implementation before full QA and release. Learn more in Design QA: The Missing Link.

Test-Driven Development (TDD) means writing tests before implementation. The result is code that’s verifiable, refactor-safe, and easier to maintain as products evolve.

TDD clarifies requirements before coding — the test becomes the spec. It prevents regressions as features and refactors accumulate and documents expected behavior for future engineers.

Our augmentation and delivery squads practice TDD alongside CI/CD and automation. It’s especially valuable for long-lived products and Rails maintenance where change volume is high. See team augmentation and QA automation.

Web accessibility ensures people with visual, auditory, motor, and cognitive differences can use your product. It also improves usability for everyone — clearer structure and navigation benefit all users.

Accessible products reach a broader audience and reduce legal and compliance risk. Semantic HTML and clear structure support SEO and performance. Products that work well for more people feel more professional and trustworthy.

Accessibility should be designed in from the start, not patched after launch. We apply these principles in product design and web development. Read web accessibility guidelines.

Fixed scope development fits first releases when you have a defined outcome — an MVP, a migration, or a bounded feature set — and need a predictable timeline and budget.

It works well when requirements are clear enough to agree on milestones, you want one partner accountable for delivery to a launch date, and stakeholders need budget certainty before committing larger investment. The goal is a production release, not open-ended exploration.

After launch, many teams shift to team augmentation or maintenance for ongoing iteration. We offer fixed scope alongside rescue and augmentation models — book a discovery call to scope your first release.

Once we’ve aligned on scope and you’ve approved the proposal, we draft a formal agreement. It covers deliverables, timeline, intellectual property, and how payments work. Most projects start with an upfront deposit, then milestone payments tied to delivery phases, with a final payment when scoped work is complete.

We accept bank transfers and online payments. For team augmentation and longer engagements, billing follows your preferred cadence — monthly or per sprint — with transparent reporting on progress so there are no surprises.

We offer three primary ways to work together. Fixed Scope Development gives you a defined scope, timeline, and budget for MVPs, feature releases, or well-specified builds. Book a discovery call to scope a fixed-price engagement.

Team Augmentation embeds dedicated engineers, QA, and DevOps in your team to scale delivery capacity. Software Rescue & Modernization stabilizes stalled projects, reduces production risk, and modernizes legacy systems without a risky full rewrite.

We recommend the model based on your product stage, internal team capacity, and how much scope certainty you have today.

Choose Fixed Scope when you have a defined outcome — an MVP, a feature set, or a migration — with relatively clear requirements and a target launch date. We own delivery against agreed milestones and acceptance criteria.

Choose Team Augmentation when you have an existing product team and roadmap but need senior Rails, React, mobile, QA, or DevOps capacity quickly. Augmented engineers join your ceremonies, tools, and codebase — extending your team without a long hiring cycle.

Many clients start with fixed scope for an initial release, then shift to augmentation or maintenance for ongoing iteration.

When a product stops shipping reliably, a full rewrite is rarely the fastest path forward. Software Rescue & Modernization is our answer for teams stuck with missed deadlines, unpredictable releases, or legacy debt blocking the roadmap.

Rescue squads assess what’s broken, stabilize production, restore release confidence, and modernize incrementally. You regain momentum without betting everything on a risky greenfield rebuild. We often step in after vendor handoffs, fragile architectures, or when a team simply needs senior engineering leadership to ship again.

Working across time zones is something we handle every day. We set up overlapping hours with your team, name clear points of contact, and use Slack or Microsoft Teams for day-to-day conversation. Jira or Trello keeps work visible, and we document decisions so handoffs between async windows stay smooth.

We plan milestones ahead of time and find shared working windows between your stakeholders and our US and Nepal hubs. The goal is tight feedback loops and releases that land on schedule, wherever your team is based.

We follow a structured agile process built around early visibility and steady feedback. Every project starts with discovery — understanding your goals, users, and constraints. Planning follows with clear scope, architecture, and acceptance criteria.

Build happens in short sprints with demos and room to adjust course. QA and review combine hands-on testing, automation where it helps, and peer code review on every change. Release includes deployment support, handoff documentation, and post-launch stabilization.

You see real progress throughout the build, not just a big reveal at the end.

How long an MVP takes depends on scope, integrations, and compliance. A focused MVP with a clear problem statement typically lands in 8–16 weeks from kickoff to first production release.

We scope MVPs in a discovery call — clarifying must-have features, technical constraints, and release criteria, then proposing a phased plan with realistic milestones. Fixed-scope engagements include explicit acceptance criteria so everyone agrees on what “done” means before code is written.

Timelines depend on scope, platforms, and integrations. When requirements are focused and discovery is clear, we’ve repeatedly shipped functional mobile MVPs in roughly 3–5 months.

WOLO — an iOS and Android social photo app — reached MVP in about 3 months. CRISTA — a web and mobile product — shipped in ~2.5 months (case study).

BLE integrations, offline sync, payment flows, regulatory requirements, and design complexity all affect the schedule. For a realistic estimate on your product, book a discovery call.

Design QA is the step where designers and engineers verify that the built UI matches the design — spacing, typography, interaction states, responsive behavior, and overall UX intent.

We treat Design QA as a formal part of delivery, not an afterthought. It runs after a feature is developed and before full QA testing, catching visual and interaction drift early so products feel polished at release.

This bridges design and development, reduces design debt, and complements our QA automation and exploratory testing. Read more in Design QA: The Missing Link Between Design and Development.

We deliver technical documentation and structured knowledge transfer so your team can operate, extend, and maintain software after launch.

Documentation typically covers architecture decisions, API references, deployment runbooks, environment setup, and handoff sessions with your engineering stakeholders. Clear docs reduce onboarding friction — especially for team augmentation and maintenance engagements.

We treat documentation as part of professional delivery, not a post-project afterthought. Read our perspective on the importance of technical documentation.

Not sure if an idea is worth building? A design sprint can answer that before you commit engineering budget. We facilitate design sprints — a structured, time-boxed process, often five days, to tackle critical product questions through research, ideation, prototyping, and user testing.

Sprints help teams validate assumptions, align stakeholders around real user feedback, and reduce build risk. They fit naturally into our broader product design process.

Learn the methodology in our design sprint overview or start with product design services.

We practice shift-left QA — quality engineers join during planning, requirements review, and sprint execution, not just at the end of a build.

Early QA improves testability, catches ambiguity before code is written, and shapes automation strategy when it matters most. This is especially valuable for fast-moving products and AI-assisted development where change volume is high.

Read QA collaboration in the early stages of a software project and our QA automation approach.

Protecting your data and intellectual property is non-negotiable for us. We sign NDAs when required, limit access to authorized team members, and apply secure practices across environments, credentials, and deployments from day one.

For teams that want a formal review, we offer cyber security audits aligned with the OWASP Top 10. That includes vulnerability review, risk ratings, and clear remediation guidance. AI-assisted workflows also follow strict data-handling rules so your information stays within agreed boundaries.

We use AI to accelerate delivery — not replace engineering judgment. Our approach is Delegate. Review. Own.

Humans set goals, architecture, constraints, and acceptance criteria before AI assists implementation. Peer review, exploratory QA, automation, and security gates verify every AI-generated change. Named engineers stay accountable for correctness, maintainability, and production health.

Tools like Copilot, Claude, and Cursor speed up coding and test generation. Senior engineers govern quality through specs, context engineering, and release discipline. Read the AI-Augmented Engineering Playbook for our operating model.

We help teams add practical AI to products and internal workflows through AI integration services. That can mean workflow automation and intelligent agents for operations teams, in-product copilots and chat experiences, or generative features embedded in dashboards and customer journeys.

We also handle production rollout with security review, governance, and measurable outcomes. We focus on integrations that ship to production and create business value — not proof-of-concept demos that never reach users.

Quality engineering is embedded in our delivery squads — not bolted on at the end. We combine hands-on manual testing for usability and edge cases with targeted automation for regression, APIs, and critical user flows using Cypress, Playwright, Selenium, and Postman.

QA participates throughout the lifecycle: test strategy during planning, shift-left checks during development, and release gates before production. This keeps velocity high while reducing escaped defects — especially when AI-assisted coding increases change volume.

Learn more on our QA automation service page.

We treat AI governance as an engineering responsibility, not just a policy exercise. Before AI features reach production, we address what data enters prompts and how PII is handled. We plan for output safety — hallucination risk, harmful content, and human-review fallbacks when needed.

We also set clear user expectations around AI-generated responses, define degraded-mode behavior when models or APIs go down, and build test plans aligned with frameworks like NIST AI RMF.

This complements our AI integration services and delivery model of Delegate. Review. Own. Read AI Governance for Developers and quality validation for AI-assisted products.

We offer QA as a Service (QAaaS) — a continuous quality engineering model that goes beyond end-of-sprint testing checklists.

QAaaS covers test strategy, hands-on exploratory testing, targeted automation with Cypress and Playwright, regression management, and release readiness gates built into agile delivery. It scales quality capacity without a long hiring cycle.

This reflects our shift from traditional testing to quality engineering across web, mobile, APIs, and connected devices. Read QA as a Service or engage via QA automation testing.

We’ve shipped production software across a wide range of industries. We have deep experience in connected devices and wearables, travel technology, payments and fintech, healthcare, computer vision, SaaS platforms, fashion and e-commerce, and AdTech.

In travel we’ve built GDS-connected booking engines and agent portals. In IoT we’ve delivered companion apps and cloud backends for sensor data and device connectivity. In fintech we’ve built wallets, payment flows, and financial platforms.

See success stories and business solutions for domain-specific examples.

Travel products live or die on booking reliability. We build custom travel technology for OTAs, TMCs, and travel startups — booking portals, agent dashboards, and GDS integrations with Amadeus, Galileo, Sabre, and related APIs.

A representative example is Hamrotrips, an online travel portal we engineered with multi-API integrations and payment gateways. Explore our TravelTech solution for typical architecture patterns and what a delivery engagement looks like.

We integrate Global Distribution Systems (GDS) — Amadeus, Sabre, and Galileo — into OTAs, B2B agent portals, and travel management platforms.

GDS integration gives travel products real-time access to flights, hotels, and car rentals. Search, pricing, booking, cancellations, and inventory sync all flow through one pipeline instead of manual supplier connections.

This work is foundational for custom software for travel agencies and platforms like Hamrotrips. Learn how GDS works in our Travel GDS guide or explore TravelTech solutions.

Connected hardware needs more than firmware — it needs software people actually want to use. We build mobile apps, cloud backends, and integration layers for IoT and wearable products.

That includes device connectivity, telemetry pipelines, alerting, and operational dashboards. A representative project is OneOS, a digital wallet for passive wearables and luxury watches. We’ve also delivered IoT work across industrial monitoring and connected consumer devices.

Explore business solutions to see how we approach industry-specific delivery.

We build custom Shopify apps, store extensions, and eCommerce platforms using Ruby on Rails, React, and Shopify Polaris. That includes Admin API integrations, payment flows, and GraphQL migrations as Shopify evolves.

Our eCommerce experience also covers bespoke marketplaces and retail sites beyond Shopify. For ongoing store health, we offer Shopify maintenance services.

See our walkthrough on building a Shopify app with Rails, React, and Polaris and Shopify local payment extensions for Nepal.

We build HealthTech applications ranging from patient-facing mobile apps to clinical workflows and community health platforms. Healthcare products often combine secure web and mobile software with IoT and sensor data for monitoring and treatment tracking.

We pay close attention to data sensitivity, role-based access, and reliable integrations with systems you already use. Health projects need extra care around privacy and uptime, and we build that in from the start.

Explore our HealthTech business solution, read about IoT in healthcare, and review relevant success stories.

Payment flows need to be fast, secure, and dependable. We build FinTech products and payment integrations — digital wallets, remittance flows, checkout experiences, and connections to third-party gateways.

Our experience includes Rails payment integrations like Afterpay, secure transaction handling, and financial platforms built for scale. FinTech is a core focus area alongside travel, health, and SaaS. See our FinTech business solution for more.

Browse success stories for shipped financial products, or contact us to discuss your payment scope.

We have hands-on experience building computer vision systems — from object detection pipelines to image and video processing inside web and mobile products.

Our teams have worked with models like YOLO and custom vision workflows, turning research prototypes into production APIs and user-facing features. Computer vision sits alongside IoT, travel, and fintech as a core capability at Gurzu.

For shipped examples, browse our success stories or contact us to talk through your vision AI requirements.