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AI Software Development

AI Software Development

1. Creating and configuring the application cascade; 2. Building models; 3. Additional training of models; 4. Integration of models into the main software part of the system; 5. Development of an information system for data storage; 6. Development of system logic: development of design solutions represented by a detailed description of automation scenarios for all business processes affected by the implementation of the system; 7. Refinement of API methods; 8. User interface design; 9. Development of the client side of the user interface; 10. App optimization. Search for a compromise solution to optimize key parameters, improve system performance 11. Writing meaningful comments on the product (Git/Jira/BookStack), on which you can create technical documentation (AP) both external (API) and internal.

Technical Architecture

Technology

Tech Platform

Digital Transformation Domain

Project Type

Service Model

Technology Readiness Levels

Software Requirements Specifications Overview

Business and Economic Impact

Industry

Project Status

Successfully Deployed in Industry

Digital Transformation Domain

Unit Cost

Error: #N/A

Pricing Model

Economic Impact

MARKET CAPABILITY & CONSUMER GROUPS

TARGET MARKET SEGMENTS

KEY CLIENT & CUSTOMERS

PROJECTED SALES METRICS

Individuals, Corporations/Legal Entities and Government Agencies/State Executive Authorities

Social & Environmental Impact

INVESTMENT RETURN & SUSTAINABILITY 

PRODUCT SUPPORT COSTS

INVESTMENT RETURN

Marketing Communications

Marketing Materials and Resources

License Tiers

Commercial Channels & Digital Marketplaces

Project Media Gallery & Video Demonstrations

Careers Anchor

Executive Roles

My Companies

Career Trek

Career Trek

Career Recognition

Project Biography

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