For AI and machine learning, do you need internal data first?

Usually no. Applied AI integration can start from an existing model interface and a clear workflow. For custom AI, machine learning, or native LLMs, evaluation is clearer when internal data, documents, SOPs, case examples, targets, and usage boundaries are agreed from the start.

What most affects web systems engineering cost?

Website cost is most affected by page count, design complexity, CMS or admin-panel needs, copywriting, SEO, integrations, forms, payments, security, and timeline targets. Simple websites can be built faster, while business websites with special features need a more detailed scope.

When is a desktop systems engineering more suitable than a website?

Desktop applications are more suitable when a system must run reliably on local computers, use special devices, access local files, operate on an internal network, require specific performance, or remain usable when internet access is limited.

Do mobile and field systems need to be built for Android and iOS at the same time?

Not necessarily. Platform priority can be determined by the majority of users, budget, release target, and required device features. A project can start from Android, iOS, PWA, or a cross-platform approach depending on business needs.

What is included in routine maintenance?

Routine maintenance can include backups, minor updates, security patches, basic monitoring, hosting or server checks, small bug fixes, and system condition reports. New feature development is usually discussed separately as enhancement or reserved engineering work.

When should a company use a reserved engineering capacity?

Reserved engineering capacity fits when a system is already running but still needs feature updates, technical evaluation, performance optimization, consultation, work prioritization, and ongoing roadmap development without starting a new project from zero each month.

How quickly can an issue be investigated through troubleshooter service?

Investigation can begin after access, issue chronology, screenshots, logs, and reproduction steps are available. Handling usually starts remotely to find the root cause, stabilize the issue, and provide further repair recommendations if needed.

Can technical continuity be done onsite and remotely?

Yes. Remote support fits system configuration, user assistance, system checks, and technical coordination. Onsite support can be discussed for device, network, installation, operations training, or issues that require a technician to be present.

Can engineering scope be adjusted to requirements?

Yes. Scopes on this page are initial estimates. Final scope and budget depend on service type, feature count, integrations, data, user roles, AI needs, infrastructure, security, and implementation targets.

How long does AI and machine learning work take?

API-based applied AI integration usually starts from 3-8 weeks. Internal-data custom AI, RAG, light fine-tuning, evaluation operational intelligence interfaces, or workflow integrations generally take 2-4 months. Native LLMs, large-model training, security evaluation, GPU deployment, and MLOps can take 4-12 months or more.

What is the difference between applied AI integration, custom AI, and native LLM?

Applied AI integration connects model capability to governed workflows, data boundaries, and operational review. Custom AI adapts open-source or existing models with data, SOPs, documents, and business workflows through RAG, fine-tuning, instruction tuning, embeddings, and system integration. Native LLM work covers model ecosystem control across datasets, training pipelines, inference servers, deployment, security, observability, and cost optimization.

Is project and client data confidentiality protected?

Yes. Project information, internal needs, system access, datasets, and work files are handled professionally. For sensitive projects, access mechanisms, data restrictions, work documentation, and supporting agreements can be discussed from the start.

Can every type of AI project be handled?

Not all. PT XIPTOR SOFTWARE SERVICE only accepts projects that are legal, safe, and have a clear intended use. The company refuses malware, phishing, spyware, fraud automation, data theft, system manipulation, or technology that could harm others.

Mobile & Field System Development | PT Xiptor Software Service

Category 04

Mobile & Field System Development

Mobile and field systems for Android/iOS operations, identity, device capabilities, offline queues, and backend integration. The scope covers release governance, telemetry, and store or private distribution readiness.

Cross-Platform Runtime

Flutter, React Native, or native implementation selected by device targets, performance profile, offline requirements, and release model.

Notifications & Deep Links

Push notifications, deep links, transactional triggers, routing rules, delivery logs, and user-permission handling.

Device Trust & Biometrics

Face ID, Touch ID, fingerprint, secure storage, session rules, token handling, and role-aware access patterns.

Sync & Offline Queues

WebSockets, Firestore, or API sync with offline queueing, retry logic, conflict handling, and field-state visibility.

Backend APIs

Serverless, Node.js, or Python APIs with authentication, rate limits, observability, caching, data validation, and versioning.

Release Governance

App Store, Play Store, or private distribution preparation with build profiles, privacy labels, QA evidence, and release notes.

Focused Scope

Focused mobile scope for service workflows that need governed release assets, clear data boundaries, and audit-friendly product documentation.

Mobile architecture consulting for a focused Android or cross-platform executive application
Procurement app specification with screen inventory, user journey, acceptance criteria, and data notes
Offline-ready content architecture with cached assets, resilient empty states, and controlled sync behavior
Secure inquiry or service workflow with analytics events, attribution plan, and push-notification readiness
Release governance for icon, splash, build profile, privacy labels, device QA, and store submission assets
Executive launch report with technical risks, product assumptions, roadmap, and handover checklist

USD 3.930.640 IDR 68.000.000.000 Request Scope

Professional

Corporate mobile and field system for active operations requiring secure identity, API governance, device capabilities, and measurable user engagement.

iOS and Android cross-platform architecture with reusable UI system and responsive interaction patterns
Secure authentication, profile, session governance, token handling, and role-aware API consumption
API governance blueprint for CMS, CRM, ERP, sheets, payment, or internal service connectivity
Device capability integration for camera, GPS, storage, notification, deep link, and background-task workflows
Crash analytics, performance telemetry, release-channel notes, and representative-device QA evidence
ISO 27001 advisory alignment for access, privacy labels, data handling, vendor dependency, and store compliance

USD 4.161.840 IDR 72.000.000.000 Request Scope

Product Scope

Pro

Business mobile platform with backend operations, multi-role workflows, payment readiness, product analytics, and compliance-oriented handover.

Multi-role mobile operating model for customer, staff, admin, partner, field team, and approval scenarios
Dedicated backend/admin dashboard for users, content, transactions, field activity, operations, and audit records
Event-driven notification architecture with segmentation, transactional triggers, escalation, and delivery telemetry
Predictive analytics readiness for user behavior, operational patterns, churn signals, and executive product insight
SOC2 readiness program for auth, audit logs, permissions, API validation, sensitive data storage, and change evidence
Embedded DevOps/SRE handover with release pipeline, staging QA, rollback protocol, and store deployment runbook

USD 6.936.400 IDR 120.000.000.000 Request Scope

Enterprise

Enterprise mobile ecosystem for high-dependence operations requiring SSO, MDM readiness, multi-region backend strategy, security telemetry, and dedicated engineering capacity.

Enterprise mobile architecture for high-volume users, SSO, MDM readiness, privileged roles, and complex approvals
Multi-region backend strategy with active-active redundancy, queues, caching, observability, and low-interruption release planning
Event-driven integration layer and API governance for ERP, CRM, payments, logistics, identity, field operations, and event telemetry
SIEM integration, DLP implementation planning, mobile security hardening, penetration-test readiness, and privacy controls
DR site orchestration with backup policy, incident-command runbook, feature flags, rollback, and recovery objectives
Dedicated engineering squad with embedded DevOps/SRE team, procurement documentation, SLA model, and executive reporting

USD 11.560.720 IDR 200.000.000.000 Request Scope