Bring Your AI Product Vision to Life

Collaborate with industry experts to guide you through every step of the AI product development lifecycle. Get a step-by-step plan for your custom AI product strategy, design and development that will steer every phase of the project, making sure your AI initiative aligns with your objectives.

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AI Vendor Product Development Services

ML Product Development

Gain access to custom machine learning (ML) products crafted to meet your unique business needs. By collaborating closely with your internal team, we employ AI algorithms and methodologies, ensuring that the final product not only meets but exceeds your strategic objectives. Our comprehensive approach covered every stage, from the initial concept to the seamless deployment of a robust and scalable ML solution.

Gain access to custom machine learning (ML) products crafted to meet your unique business needs. By collaborating closely with your internal team, we employ AI algorithms and methodologies, ensuring that the final product not only meets but exceeds your strategic objectives. Our comprehensive approach covered every stage, from the initial concept to the seamless deployment of a robust and scalable ML solution.

Seamless Product Integration

Experience seamless integration of products into your existing setup. Our vendor-neutral and cloud-agnostic approach ensures compatibility, while our open-source project, a combinator.ml, allowed for a quick “test drive” version.

Experience seamless integration of products into your existing setup. Our vendor-neutral and cloud-agnostic approach ensures compatibility, while our open-source project, a combinator.ml, allowed for a quick "test drive" version.

Client Spotlight

GetMee is a mobile application that harnesses AI, ML, and deep learning technology to provide users with personalized insights and actionable advice on communication and behavior. It is designed to empower individuals to enhance their lives while prioritizing user privacy. The app processes speech data to map emotions and create the GetMee Processing Algorithm engine, delivering tailored results to its users.

DataToBiz AI Product Development Cycle

How we came into place!

Our team of AI experts took charge of the entire AI product development journey. The multifaceted process involved a series of phases, some of which were executed sequentially or in parallel.

Step-by-step Process of AI Modelling

The strategy behind GetMee!

AI Vendor Product Development Services

ML Product Development

Gain access to custom machine learning (ML) products crafted to meet your unique business needs. By collaborating closely with your internal team, we employ AI algorithms and methodologies, ensuring that the final product not only meets but exceeds your strategic objectives. Our comprehensive approach covered every stage, from the initial concept to the seamless deployment of a robust and scalable ML solution.

Seamless Product Integration

Experience seamless integration of products into your existing setup. Our vendor-neutral and cloud-agnostic approach ensures compatibility, while our open-source project, a combinator.ml, allowed for a quick "test drive" version.

Frequently Asked Questions(FAQs)

What is product development?

Phases of AI Product Development Process

The AI product development lifecycle!

Our developers formulated a six-phase plan to steer the application to AI product development process. In each phase, we ensured a seamless progression, particularly when one pipeline's output depended on another.

Project Kick-off, Planning and Requirements Definition

Minimum Viable Product (MVP) Development

Data Acquisition and Preparation

Model Development and Training

Integration and Development

Deployment and Maintenance

Project Kick-off, Planning and Requirements Definition

  • Define Project Scope
  • Team Formation & Technology Stack Selection
  • User Stories and Use Cases
  • System Architecture Design
  • UI/UX Design Integration
  • Minimum Viable Product (MVP) Development

  • Feature Prioritization
  • Rapid Prototyping
  • Iterative Development
  • User Testing
  • Feedback Collection Mechanism
  • Data Acquisition and Preparation

  • Data Strategy
  • Data Quality Assessment
  • Data Preprocessing
  • Data Labeling (If applicable)
  • Data Security measures
  • Model Development and Training

  • Model Selection
  • Custom Model Architecture
  • Transfer Learning Considerations
  • Training & Emsemble Modeling
  • Validation and Testing
  • Integration and Development

  • API Development
  • Mobile App/Web App Development
  • Scalable Architecture
  • Cross Platform Compatibility
  • Quality Assurance (QA)
  • Deployment and Maintenance

  • Rollout Strategy
  • Monitoring and Optimization
  • Model Reiteration
  • Analytics Integration
  • Regular Updates and Maintenance
  • The Response from GetMee

    The Response from GetMee

    Our Tech Stack

    Our robust and versatile technology stack, carefully picked to drive the development of AI products and solutions.

    AI Development

    Deployment

    Data Storage

    Data Processing

    Data Storage

    Data Processing

    What the GetMee team has to say!

    “From initial concept to the final product, Datatobiz made our app development process a breeze. They skillfully turned our concepts into a user-friendly AI application and seamlessly integrated with our internal project management processes throughout. What truly impressed us the most was the minimal bugs or errors we got in the end result! “

    Discover the future of your products with AI

    Let's partner to design, develop, and deploy AI products that revolutionize your business operations.
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