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unternehmens AI

  • Skcript empowers enterprises with innovative technology solutions.
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    What is skcript.com?
    Skcript is a technology consulting company focused on building enterprise AI, low-code, and blockchain solutions. They provide high-performance and scalable solutions that enable businesses to tackle complex challenges. Through their expertise in GenAI, Hyperledger Fabric, and Hyperledger Sawtooth, Skcript helps enterprises in their digital transformation journeys, offering tailored solutions that fit specific business needs. The company's commitment to perfection drives them to continually innovate, delivering quality solutions that meet the demands of ambitious businesses.
    skcript.com Core Features
    • Enterprise AI solutions
    • Low-code development
    • Blockchain solutions
    • Hyperledger Fabric and Sawtooth expertise
    • Digital transformation consulting
    skcript.com Pro & Cons

    The Cons

    The Pros

    Specialized in document data extraction which improves business workflow automation
    Operates 24x7 at scale providing continuous service
    Technology agnostic approach allows tailoring solutions to specific business problems
    Proven success with a broad client base including banks, governments, and startups
    Offers other productivity tools enhancing enterprise operations
    skcript.com Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://skcript.com
  • Open-source spec for defining, configuring, and orchestrating enterprise AI agents with standardized tools, workflows, and integrations.
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    What is Enterprise AI Agents Spec?
    Enterprise AI Agents Spec defines a comprehensive specification for enterprise-grade AI agents, including manifest schemas for agent identity, description, triggers, memory management, and supported tools. The framework includes JSON-based tool definition formats, pipeline and workflow orchestration guidelines, and versioning standards to ensure consistent deployments. It supports extensibility through custom tool registration, security and governance best practices, and integration with various runtimes. By following its open standard, teams can build, share, and maintain AI agents across multiple environments, promoting collaboration, scalability, and uniform development processes within large organizations.
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