01
$8,000–$18,000Pocket MVP
One focused workflow, designed and delivered as a practical first mobile release.
Mobile apps + private AI for real operations
Your business.
Your app. Your private AI.
Custom mobile applications and AI-assisted workflows that turn voice, images, documents, and operational data into structured business actions.
INPUTWORKFLOWOUTPUT
CaptureVoice notesImagesDocumentsForms
→
ProcessAI assistanceValidationIntegrationsBusiness rules
→
ActReportsTasksCRM recordsFollow-up
PlatformsiOS / Android / Cross-platform
AI architectureOn-device + controlled cloud where required
What Elqorin Pocket builds
Software shaped around the workflow, not the other way around.
Formed in Colorado in September 2026, Elqorin Pocket is a mobile application and software development studio focused on practical AI-enabled tools for small and midsize businesses.
Mobile-first by design
Native iOS, native Android, or cross-platform delivery is selected according to project requirements, device needs, integrations, and long-term maintenance.
Built around business actions
Voice notes, images, documents, forms, and operational data can be converted into structured reports, tasks, records, estimates, or follow-up workflows.
Project-based, with recurring support
Engagements can include discovery, implementation, integrations, deployment support, documentation, maintenance, monitoring, and future enhancements.
Services
Five ways to move from one workflow to a supported mobile system.
Select any service for scope details, ideal use cases, typical deliverables, and implementation notes.
02
$10,000–$25,000Pocket Agent
Voice, image, document, or structured-output AI functionality added to an app.
03
$25,000–$60,000+Pocket OS
Users, tasks, documents, integrations, reporting, and AI assistance in one mobile workspace.
04
$500–$2,000+ / monthSupport and Maintenance
Monitoring, updates, bug fixes, integration care, and technical support after launch.
05
$1,500–$10,000+Enhancements
New modules, integrations, automations, and expansion to more users or workflows.
Delivery process
A defined workflow from discovery to release.
The delivery model is staged so scope, technical decisions, testing, acceptance, and support remain clear throughout the engagement.
01
Discover
Document users, business outcome, data, integrations, risks, and success measures.
02
Architect
Define the mobile experience, solution architecture, delivery schedule, and acceptance plan.
03
Build
Develop in controlled iterations with source control, code review, and issue tracking.
04
Test
Validate functionality, integrations, permissions, error handling, and device compatibility.
05
Deploy + Support
Release through the appropriate distribution method, provide handover materials, and transition to support where applicable.
Private AI, defined precisely
Private means the data path is defined, controlled, and documented.
The architecture can combine on-device models with controlled cloud AI when a workflow needs greater capability. The project should make the processing path explicit.
DATA PATHHow a project is evaluated
01 · INPUTOnly required data
Voice, image, document, form, or operational fields needed for the agreed workflow.
02 · PROCESSOn-device where practical
Local processing can reduce cloud exposure when device capability and the use case allow it.
03 · CLOUDControlled services
When cloud AI is needed, the selected provider, access, retention, and purpose should be known.
04 · OUTPUTHuman-reviewed action
Structured reports, tasks, records, or drafts can be reviewed before important business action.
A
Processing location
Document whether a function runs on the device, in the application backend, or through an external AI provider.
B
Retention + deletion
Define temporary files, production records, logs, backups, account deletion, and provider-side retention for the actual project.
C
Training settings
Do not promise “no training” unless the selected provider tier, configuration, and contract actually support that condition.
D
Sensitive data
Regulated or highly sensitive information should enter AI services only when the use is approved and technically protected.
Where it fits
Best when the workflow is repeatable, mobile, and currently fragmented.
The strongest fit is a business process that already happens every day but still depends on paper, email, spreadsheets, messages, photos, or disconnected software.
Typical business: 5–100 employeesDefined sponsor + outcomeProject budget from $8,000Mobile voice / image / forms / documents
Field services
Voice notes and photos → service reports, estimates, and CRM records.
Property management
Inspections, maintenance requests, images, and tenant communication in one workflow.
Construction
Site observations, punch lists, daily logs, and document intake captured on mobile.
Cleaning + facilities
Completed tasks, exceptions, supplies, and quality-control evidence recorded consistently.
Sales teams
Meeting notes → structured CRM entries, action items, and follow-up drafts.
Inventory operations
Camera and barcode input → recognition, counts, and inventory updates.
Start with one workflow
Tell us what your team repeats, where the data comes from, and what the mobile tool should produce.
That is enough to start evaluating platform, AI needs, integrations, scope, and the right service level.
projects@elqorinpocket.com7950 W Colfax Ave, Lakewood, CO 80214+1 860 846 7486