Markeltree is a trusted enterprise application development firm that assists startups, businesses and large organizations to create safe and scalable enterprise applications. Our services in enterprise app development are concerned with the performance, data security, smooth integration of the system and scalability in the long term on premises of cloud, web and mobile systems.
Both apps are developed cross-platform by modern frameworks and you receive comprehensive coverage without paying for two distinct builds.
A focused MVP app generally takes 6-10 weeks. Apps are scoped and phased with your priorities and roadmap.
Yes we will process the entire submission process, from listing in stores, screenshots and compliance checks to supporting the approval process.
| Use Case | What It Does | Best Fit / Outcome |
|---|---|---|
Product Discovery Scope & strategy | Defines your app's purpose, core features, and target users , so the build is focused and the roadmap is clear. | |
UI/UX Design Mobile-first design | Creates intuitive, platform-native interfaces that feel at home on iOS and Android , and keep users coming back. | |
Cross-Platform Development Single codebase | Builds your app once using modern frameworks , delivering full iOS and Android coverage without doubling the cost. | |
Backend & API Integration Data & functionality | Connects your app to databases, third-party services, payment gateways, and any tools your product relies on. | |
Store Submission & Launch App Store & Google Play | Handles the full submission process , listings, compliance, screenshots, and approval , so your app goes live without delays. |
We audit your business goals, business workflows and systems that are available, to develop a concise and result-oriented field of enterprise application roadmap.
We develop bespoke enterprise applications based on the current frameworks and scalable architecture in relation to your operation requirements.
We develop role-based enterprise interfaces which are user-friendly and reduce complex workflows and enhance productivity.
Our enterprise applications are fully tested according to functionality, performance, security, scalability, and compatibility.
To deliver successful adoption, we handle enterprise deployment, compliance, cloud configuration and post-launch support.
Enterprise applications assist companies in optimizing their operations, enhancing teamwork, and storing information in an efficient manner. The collaboration with an established and reliable enterprise app development firm guarantees a strong architecture, performance, and scalable enterprise solutions in line with business expansion.
Enterprise requirements, business goals, user roles, and technical scope are defined by us to make sure that the solution is market-ready and scalable.
Our team creates system architecture, user interface and experience, workflows, and development roadmap in accordance with enterprise performance goals.
We build secure and high-performance enterprise applications with current frameworks and industry best practices.
We perform stringent testing on enterprise applications in regards to optimization of performance, security, scalability, and cross platform compatibility.
Our responsibilities include enterprise app rollout, compliance assessments, cloud environment set-ups, and rollouts.
We keep updating enterprise applications, optimizing its performance, and adding features and offer long-term technical support.
Markeltree built a native Android app for RetailNova featuring offline-first architecture, real-time inventory sync, and Firebase push notifications achieving 200,000+ downloads at launch.
Markeltree built a privacy-first iOS health platform for MediTrack with HealthKit integration, Apple Watch companion app, biometric security, and an Editors' Choice App Store rating.
Build secure systems that increase productivity organization-wide.
Markeltree’s AI solutions helped us optimize our data workflows and decision-making process. Their team clearly understood our objectives and delivered a practical, results-driven AI implementation.
