Sold by: Visionet Systems
GenAI Studio by Visionet is an enterprise generative AI accelerator that enables organizations to rapidly design, build, and deploy AI-powered applications. The accelerator provides a catalog of prebuilt solution templates and reusable components for both industry-specific and cross-functional use cases, helping enterprises accelerate generative AI adoption on Amazon Web Services while reducing development time and complexity.
Overview
GenAI Studio by Visionet is an enterprise generative AI accelerator designed to help organizations rapidly build, deploy, and scale AI-powered solutions. The accelerator provides a structured framework along with a catalog of prebuilt solution templates and reusable AI components that accelerate the development of generative AI applications across vertical and horizontal enterprise use cases. The accelerator includes customizable templates for use cases such as intelligent document processing, enterprise knowledge assistants, cloud operations copilots, marketing and sales assistants, IT service automation, and AI-powered analytics. These templates help organizations quickly implement generative AI solutions tailored to their business workflows while maintaining governance, security, and scalability. GenAI Studio integrates with enterprise data sources and business systems including document repositories, CRM platforms, databases, and knowledge management systems. The accelerator is designed to run on scalable infrastructure powered by Amazon Web Services and can leverage services such as Amazon EC2, Amazon S3, Amazon RDS, AWS Lambda, and Amazon Bedrock to support secure and scalable generative AI deployments. By combining reusable AI components, enterprise integrations, and cloud-native scalability, GenAI Studio helps organizations accelerate generative AI adoption, reduce development effort, and operationalize AI solutions faster.
Highlights
- Cloud Copilot for AWS Operations: AI-powered cloud copilot that helps teams understand and optimize their cloud environments. Use cases include architecture evaluation, cloud knowledge search, reliability and high-availability assessments, cost optimization recommendations, migration planning, and Infrastructure-as-Code generation for deployments on Amazon Web Services.
- Enterprise Knowledge & Document Intelligence: GenAI-powered assistants that transform enterprise knowledge into actionable insights. Capabilities include intelligent document processing, multilingual search, SOP and architecture knowledge retrieval, and automated design document generation (HLD, LLD, ASD) to support faster decision-making.
- AI Assistants for Business Automation Prebuilt AI assistants designed to automate enterprise workflows such as GTM copilot for outreach and SOW generation, HR and IT service desk automation, RFI/RFP response generation, insurance claim processing, and analytics copilots for operational insights.
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Delivery method
Deployed on AWS
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Support
Vendor support
Visionet provides end-to-end implementation and support services for the GenAI Studio accelerator to help organizations design, deploy, and scale generative AI solutions on Amazon Web Services. Customers receive access to Visionet’s AI engineers, cloud architects, and solution specialists for accelerator deployment, customization, and integration with enterprise systems. Support includes onboarding assistance, architecture guidance, model integration, and best practices for building generative AI applications. Support Channels Email: support@visionet.com Website: https://www.visionet.com/contact-us/ Support Scope • Accelerator setup and deployment on AWS • Customization of AI solution templates for enterprise use cases • Integration with enterprise data sources and applications • Architecture design and optimization • AI model integration and deployment guidance • Troubleshooting and performance optimization Support is provided during standard business hours with escalation support available for critical issues. Enterprise customers may also receive dedicated solution architects and implementation teams.