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    togglr

    An R and RStudio client for the Toggl API that lets users access and analyze their Toggl time tracking data directly from R.

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    Togglr – Advisory & Implementation Services

    Description

    Togglr provides advisory and implementation services focused on application modernization, custom software development, API integration, and modern AI/platform strategies. The company helps organizations plan and execute automation and digital transformation initiatives, with an emphasis on cloud-first architectures and data-driven solutions.

    Features

    Application Development & Modernization

    • Custom software development

      • Full-stack development services for multi-platform applications.
      • Uses modern development patterns and architectures.
      • Suitable for both small and large enterprises.
    • Product development

      • Modernization of legacy applications and systems to support new products.
      • Assessment and exploration of existing systems’ potential.
      • Focus on reducing development complexity while improving performance and efficiency.
    • Enterprise solutions

      • Definition of enterprise architecture for complex projects and programs.
      • High-level solution design across business and technology domains.
      • Guidance for both business and technology stakeholders to align on architecture and roadmap.

    API Development & Integration Services

    • Development of specialized APIs for both new and legacy enterprise applications.
    • Exposure of application data, functionality, business logic, and web services through APIs.
    • Emphasis on API quality and standardization across the organization.
    • Strategic API gateway management tailored for highly scalable SaaS products.
    • Implementation of security controls aligned with OWASP Security Verification Standard.
    • Support for cloud-first strategies and seamless digital transformation via API-led integration.

    Modern AI & Platform Strategy

    • Strategy and implementation services around AI and machine learning technologies.
    • Use of deep learning frameworks (e.g., TensorFlow) for building AI-based products.
    • Integration of real-time object detection capabilities using pre-trained AI models.
    • Embedding AI models into client products and tools for pattern detection and prediction.

    AI & Analytics Focus Areas

    • Data analytics – leveraging organizational data for insights and decision-making.
    • Retail – AI and analytics use cases tailored to retail scenarios (e.g., pattern detection and prediction in retail data).
    • Similarity matching – identifying related or similar entities (products, content, users, etc.).
    • Anomaly detection – detection of unusual patterns or behaviors in data.
    • NLP & vision – natural language processing and computer vision capabilities for text and image-related tasks.
    • Healthcare analytics – applying analytics and AI methods to healthcare-related data and use cases.

    Pricing

    Pricing information is not publicly listed. Organizations need to contact Togglr directly for detailed quotes and engagement models.

    설문조사

    더 불러오는 중......

    정보

    웹사이트www.togglr.com
    게시일Dec 24, 2025

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