Big-bang cutovers are optional—and rare
We isolate bounded capabilities behind facades, verify with shadow traffic, and migrate data with reconciliation reports your auditors can follow.
Strangle complexity safely
Incremental extraction from monoliths and mainframes—parallel runs, verified migrations, and APIs that make AI and analytics possible.
Software & CloudOur approach
We isolate bounded capabilities behind facades, verify with shadow traffic, and migrate data with reconciliation reports your auditors can follow.
Clean events and contracts unlock analytics and AI without scraping screens. We prioritize seams that unblock revenue or compliance first.
Core capabilities
constraints named early
Dependencies, data gravity, and operational constraints are named before anyone promises a rewrite date.
incremental slices
Incremental slices behind facades let you prove value without halting revenue on a big-bang cutover.
verified cutovers
Dual-write, reconciliation, and rollback plans give finance and auditors evidence—not hope.
clean seams
Clean seams unlock modern clients, analytics, and AI without screen-scraping fragile UIs.
Mission & Vision
Offerings
Prioritize slices that unlock revenue, compliance, or analytics—not random refactors.
Stable interfaces in front of legacy cores so new clients do not scrape screens.
Reconciliation reports auditors and finance can follow during cutover.
Compare legacy vs new behavior on representative workloads before traffic shifts.
Prove the modern path meets or beats SLAs—not assumptions from slide decks.
Close auth, encryption, and logging gaps exposed during decomposition.
Retire old paths safely with feature flags and ownership clarity.
Docs and pairing so internal teams own the new seams long term.
Growing Our Business
Before we scope a sprint, clients ask how we price work, whether we can extend Shopify or AI in production, and what happens after launch. These are the questions we answer most often in discovery calls with merchants, startups, and enterprise teams.
Every answer below reflects how Digiware actually engages—fixed discovery, milestone delivery, and written ownership for engineering, compliance, and post-launch support.
Custom software development cost depends on scope, integrations, compliance requirements, and how much discovery is already complete. Digiware Solutions typically starts with a fixed discovery phase, then milestone-based delivery so you see budget, timeline, and technical approach before the full build. We provide transparent estimates for web apps, SaaS platforms, AI features, and Shopify extensions—priced to outcomes, not open-ended hourly burn.
Yes. Our team regularly joins brownfield products—reviewing architecture, automated tests, CI/CD, and security before shipping to production. We extend React, Next.js, Node.js, Python, .NET, and cloud-native codebases, documenting integration points so your in-house engineers retain ownership. Whether you need a feature sprint, performance optimization, or legacy modernization, we align with your repository and release process.
Yes. Digiware Solutions is a Shopify app development company building public App Store listings and private merchant apps—including checkout extensions, admin workflows, multistore catalog sync, AI product recommendations, and SEO tooling. We handle Shopify API compliance, listing assets, merchant onboarding, and post-launch updates. Browse our live Shopify apps for production examples.
Yes. We deliver custom AI development: agentic workflows, RAG assistants, computer vision for retail and security, voice agents, and AI customer support—with evaluation harnesses, observability, and human-in-the-loop controls. We document data flows, retention, and model boundaries before production traffic, aligned with your privacy and compliance policies.
Digiware Solutions pairs senior engineers in Dallas and Lahore with transparent delivery—so your roadmap stays measurable from discovery through production.
