Savvycom modernizes aging web platforms and builds new ones, taking each from discovery and UX to data migration, launch and support, with AI added where it removes manual work.
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Every number below comes from a Savvycom web platform engagement published in our case studies: how clients rated the result at launch, how long a full modernization took, and what the platform costs to run afterwards.
post-launch client satisfaction
less manual data entry
lower cloud operating cost
Most web applications do not fail at launch. They fail slowly, as the business changes and the platform does not.
Four kinds of web platforms, each already running in production for a Savvycom client. Pick the one closest to your situation.
UX redesign, re-architecture and data migration for platforms that can no longer carry the business.
Internal systems and portals that run daily operations, from planning and projects to documents and vendor, partner or government access.
Web and mobile front ends for connected devices, on cloud architecture tuned for availability and running cost.
Marketplaces, booking and e-commerce products where data, payments and messaging must work on every device.
The same delivery model, adapted to the rules and data each industry runs on. Every industry below has its own solutions page with deeper detail.
Web applications that manage transactions, portfolios and customer data under banking security requirements.
Secure access to medical records, appointment scheduling and remote consultations for providers and patients.
Online stores and marketplaces with clear navigation, secure payments and personalized shopping.
Real-time tracking, inventory control and logistics planning in one web interface.
AI earns a place in a web app when it removes a manual step users repeat every day. Four AI features Savvycom has shipped to production, each with a published result.
Users upload forms and notes; data is extracted and checked, and only unclear fields go to review.
ID reading, face matching and liveness detection at sign-up, so onboarding time drops significantly.
AI agents quote, approve and record transactions inside team chat, with admin approval.
AI reads contracts and flags critical clauses for legal teams, across 1,000+ contracts a month.
Enterprises choose a web app development partner on three questions: can they rebuild what we already run, can they add AI that pays off, and will they still be here in year three.
Six engagements from our Web & App Development portfolio, each with its own published results.
Common questions from teams planning a web platform rebuild or a new web application.
A full modernization of a mid-size platform typically takes six to nine months. For YES24, South Korea's largest online bookstore, Savvycom spent two months on UX design and requirements and four months on rebuilding and migrating a 20-year-old system, with a post-launch satisfaction rate above 90 percent. Smaller portals and dashboards take two to four months.
Web app teams are billed monthly per engineer: mid-level developers from $22 to $34 per hour, senior from $24 to $38, tech leads and architects from $27 to $48, and data or AI engineers up to $55. A fixed price is quoted after a one to two week discovery. Full rate ranges are on our IT outsourcing page.
We rebuild in phases rather than in one cutover. Discovery maps every integration and data flow, the new platform runs alongside the old one, data is migrated and validated in stages, and users switch module by module. This is how the YES24 webzine and admin panel moved to a modern platform while the e-commerce store kept running.
Yes. We add AI where it removes manual work and keep the rest of the platform unchanged. For a U.S. healthcare operator, Savvycom built a document intelligence layer that reads invoices and records and feeds the ERP and EMR systems, cutting manual data entry by 50 to 70 percent. See our AI development services.
Our web teams work in Java, .NET, Node.js and Python on the back end, React and Vue on the front end, and PostgreSQL, SQL Server and MongoDB for data, deployed on AWS or Azure with CI/CD pipelines. We choose the stack to fit your existing systems and your team's skills, so the platform can be maintained in-house later.
A web app suits internal operations, portals and anything used on a desktop with large data views. A mobile app suits customers and field staff who need notifications, camera, location or offline use. Many clients start with a web platform and add a mobile app on the same APIs; we design the backend so both share one data layer.
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