📝 Overview
- Launch enterprise applications faster without extensive coding using comprehensive low-code tools and simplified documentation
- Deploy AI automation instantly into workflows with the built-in AI Agent Builder and RAI assistant for real-time task execution
- Build flexible commerce models for B2C, B2B, or marketplaces with composable commerce architecture that adapts to your business needs
- Create high-performance microservices and low-latency APIs rapidly with intuitive development tools designed for developer speed
- Maintain consistent product information across all channels with smart product data management that synchronizes updates in real-time
- Integrate custom machine learning models directly into business processes with embedded ML support for real-time model inference
- Connect securely with external platforms and partners through collaborative portals designed for engagement and data exchange
- Scale digital solutions across departments and channels with adaptable architecture that grows with your business requirements
⚖️ Pros & Cons
Pros
- Supports digital transformation
- Enables ecommerce innovations
- Experience orchestration
- Workflow management
- Composable commerce
- Rapid API development
- Streamlined documentation
- Testing capabilities
- Allows high-impact solutions creation
- Broad use cases
- Facilitates language model use
- Speeds low-latency backend platforms development
- Supports modular systems creation
- Offers advanced analytics
- Delivers omnichannel experiences
- Product data management capabilities
- Task management automation
- Scalable digital solutions
- Supports embedded machine learning
- Microservices & API development
- External platform connection
- B2B ecommerce
- Content management
- Marketplace commerce
- Automation deployment
- Private and public ML models support
- Real-time model inference
- Automated train & deploy ML
- Complex event processing
- First low-code platform with ML
- Productivity enhancement
- Product management
- Internal applications creation
- Omnichannel commerce
- Speeds high-impact solutions development
- Personalization capabilities
- Streamlined language model integration
- Operational efficiency
- Business growth support
Cons
- Requires comprehensive understanding
- Complex setup process
- Less suitable for non-tech users
- Not fully no-code
- Integration issues with existing infrastructure
- Pricing might not be transparent
- Comparatively high learning curve
- Not specific about supported programming languages
❓ Frequently Asked Questions
Rierino is a low-code platform constructed to facilitate digital transformation and ecommerce innovation. It offers a basis for enterprise growth, amalgamating experience orchestration, workflow management, and more, paving the way for intricate intelligent orchestration on a grand scale.
Rierino offers a wide range of services such as experience orchestration, workflow management and real-time data processing for digital transformation and ecommerce innovations. Its offerings include composable commerce for flexible business models, swift microservice and API development to produce high-performance solutions, and built-in intelligence through RAI facilitating real-time workflow, data handling, and content creation automation.
Rierino aids in workflow management by unlocking real-time automation across workflows, data processing, and content creation through its built-in AI assistant RAI. It increases adaptability, boosts productivity, and enhances efficiency with its dynamic capabilities.
Rierino's composable commerce caters to different business models, be it B2C, B2B, or marketplace. It offers a flexible platform for efficient product and content management, thus empowering businesses to tailor their commerce model in a way that serves their unique needs and requirements effectively.
Rierino provides intuitive yet powerful capabilities for microservice and API development. It offers the tools necessary to create enterprise applications, new services, integrations, and low-latency APIs with ease, thereby creating high-performance solutions for diverse use cases. This is made possible by a low-code platform designed to increase developer speed and precision.
In the context of Rierino, 'built-in intelligence through RAI' refers to the in-house AI Assistant. This AI assistant enhances adaptability, productivity, and efficiency by enabling real-time automation across workflows, data processing, and content creation. It also facilitates 'vibe low-coding' through seamless API and microservice integration.
Rierino boosts productivity by offering comprehensive low-code tools, simplified documentation, and testing capabilities tailored for developers. It also encompasses capabilities for task management automation, thus improving operational efficiency and allowing teams to focus on growth-oriented tasks.
With Rierino, one can construct a wide variety of solutions, enabling not just the development of high-impact solutions, but also the creation of new ones using the platform. Potential areas of development range from managing omnichannel commerce, connecting with external platforms, overseeing product management, handling B2B ecommerce, managing content, marketplace commerce, to internal applications and personalization.
Yes, Rierino supports external platform connection. Users can connect with customers, citizens, and partners through collaborative portals specifically designed for engagement, support, and secure data exchange.
The AI Agent Builder is a pivotal feature of Rierino. It offers enterprise-grade AI, fully embedded within the low-code development experience, thus providing for instant automation deployment. This empowers teams by enabling seamless deployment of AI agents into their workflows and applications.
RAI is the built-in AI assistant in Rierino. This AI assistant enhances adaptability, productivity, and efficiency through real-time automation across workflows, data processing, and content creation. It additionally promotes 'vibe low-coding' through seamless API and microservice integration.
Rierino facilitates language model integration by offering flexible API integration with other AI platforms such as OpenAI and LangChain. This integration streamlines the use of language models, thus enhancing the functionality and capabilities of the Rierino platform.
Rierino can automate an array of tasks for enhancing operational efficiency. This includes custom task management and workflows catering to specific business needs, real-time monitoring of performance through personalized dashboards, and automated decision-making and task execution incorporating machine learning and AI into business processes.
Rierino provides capabilities for product data management by offering a smart product information management tool that ensures consistent multi-channel information. It facilitates real-time, accurate updates across different channels thereby reducing redundancies and enhancing efficiency.
Rierino aids business growth by offering scalable, adaptable digital solutions. It supports cross-departmental digital transformation initiatives, promotes collaboration, and provides insights into performance metrics. Its low-code capabilities also enable rapid scale of digital solutions across various channels and domains.
Rierino is the first low-code platform to support embedded machine learning since its inception. With support for models from both private and public sources, it incorporates machine learning into low-latency APIs, processes, and event flows for real-time model inference. Automated training and deployment into microservices with private repositories is supported as well.
Rierino can be utilised across several business scenarios including B2C omnichannel commerce, external platform connections, product management, B2B ecommerce, content management, marketplace commerce, internal applications and personalization. This wide range of use cases makes it flexible and adaptable to a variety of business needs.
Rierino elevates customer engagement by delivering targeted, omnichannel experiences. It empowers businesses to utilize personalization tools for tailoring their content, promotions, and recommendations. It also allows management, distribution, and curation of content across channels in real-time.
Rierino employs advanced analytics and offers flexible AI/ML capabilities. Businesses can introduce their own AI/ML models and utilize built-in MLOps for real-time use cases. Additionally, Rierino supports real-time triggers using complex event processing and provides embedded BI for in-depth insights across data sources.
Rierino is designed to empower various teams including developers, solution architects, data scientists, marketing, product operations leaders. It accelerates the development of high-performance, low-latency backend platforms, assists in crafting modular systems, supports advanced analytics, and delivers targeted omnichannel experiences. Each role can harness the features of Rierino that best suit their requirements and workflow.
Rierino boosts productivity by offering comprehensive low-code tools, simplified documentation, and testing capabilities tailored for developers. It also encompasses capabilities for task management automation, thus improving operational efficiency and allowing teams to focus on growth-oriented tasks.
With Rierino, one can construct a wide variety of solutions, enabling not just the development of high-impact solutions, but also the creation of new ones using the platform. Potential areas of development range from managing omnichannel commerce, connecting with external platforms, overseeing product management, handling B2B ecommerce, managing content, marketplace commerce, to internal applications and personalization.
Yes, Rierino supports external platform connection. Users can connect with customers, citizens, and partners through collaborative portals specifically designed for engagement, support, and secure data exchange.
The AI Agent Builder is a pivotal feature of Rierino. It offers enterprise-grade AI, fully embedded within the low-code development experience, thus providing for instant automation deployment. This empowers teams by enabling seamless deployment of AI agents into their workflows and applications.
RAI is the built-in AI assistant in Rierino. This AI assistant enhances adaptability, productivity, and efficiency through real-time automation across workflows, data processing, and content creation. It additionally promotes 'vibe low-coding' through seamless API and microservice integration.
Rierino facilitates language model integration by offering flexible API integration with other AI platforms such as OpenAI and LangChain. This integration streamlines the use of language models, thus enhancing the functionality and capabilities of the Rierino platform.
Rierino can automate an array of tasks for enhancing operational efficiency. This includes custom task management and workflows catering to specific business needs, real-time monitoring of performance through personalized dashboards, and automated decision-making and task execution incorporating machine learning and AI into business processes.
Rierino provides capabilities for product data management by offering a smart product information management tool that ensures consistent multi-channel information. It facilitates real-time, accurate updates across different channels thereby reducing redundancies and enhancing efficiency.
Rierino aids business growth by offering scalable, adaptable digital solutions. It supports cross-departmental digital transformation initiatives, promotes collaboration, and provides insights into performance metrics. Its low-code capabilities also enable rapid scale of digital solutions across various channels and domains.
Rierino is the first low-code platform to support embedded machine learning since its inception. With support for models from both private and public sources, it incorporates machine learning into low-latency APIs, processes, and event flows for real-time model inference. Automated training and deployment into microservices with private repositories is supported as well.
Rierino can be utilised across several business scenarios including B2C omnichannel commerce, external platform connections, product management, B2B ecommerce, content management, marketplace commerce, internal applications and personalization. This wide range of use cases makes it flexible and adaptable to a variety of business needs.
Rierino elevates customer engagement by delivering targeted, omnichannel experiences. It empowers businesses to utilize personalization tools for tailoring their content, promotions, and recommendations. It also allows management, distribution, and curation of content across channels in real-time.
Rierino employs advanced analytics and offers flexible AI/ML capabilities. Businesses can introduce their own AI/ML models and utilize built-in MLOps for real-time use cases. Additionally, Rierino supports real-time triggers using complex event processing and provides embedded BI for in-depth insights across data sources.
Rierino is designed to empower various teams including developers, solution architects, data scientists, marketing, product operations leaders. It accelerates the development of high-performance, low-latency backend platforms, assists in crafting modular systems, supports advanced analytics, and delivers targeted omnichannel experiences. Each role can harness the features of Rierino that best suit their requirements and workflow.
💰 Pricing
Pricing model
Paid
Paid options from
$0.75/unit
Billing frequency
Pay-as-you-go
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