GENERATIVE AI SOLUTIONS
Generative AI solutions for your business
From information extraction to content summarization, code assistance to co-piloting, our generative AI solutions are virtually endless
ENTERPRISE GENAI SOLUTIONS
Industry-specific generative AI solutions
Vertesia can help your business infinitely scale - improving even the most complex business operations
GENERATIVE AI SOLUTIONS
Generative AI applications and agents
Generative AI-powered solutions can be categorized into three main categories: Knowledge Querying, Content Analysis & Reasoning, and Generating or Repurposing Content. These categories can also be combined to create more complex use cases.
Generating or repurposing content
Using generative AI to create original content, repurpose existing content, or turn unstructured content into a more structured, personalized format
Examples:
- Documentation generation & maintenance
- Code generation for tooling
- Content summarization for marketing
- Personalized customer communication
- Training and educational materials creation
How to Evaluate, Select, and Implement LLM Use Cases
This comprehensive how-to guide explores the strategies, tactics, and best practices for selecting and deploying generative AI use cases. It explores eight real-world use cases and explains the potential impact of LLM-powered tasks on business operations, efficiency, and innovation.
LLM USE CASES
Example use cases for generative AI
Below are just a few examples of how leading organizations are leveraging the Vertesia platform to augment and automate their business processes and applications
Compliance and risk management
Contract generation and analysis
Cybersecurity enhancement
Enhance legal research
Finance operations automation
Customer intelligence and experience optimization
Customer service enhancement & transformation
Candidate matching and recruiting
Code generation and collaboration
Content optimization and personalization
Data-driven marketing campaigns
Churn prediction and prevention
Why use the Vertesia platform for building your generative AI apps and agents?
While LLM application development frameworks offer tools for building applications, Vertesia is the only unified, low-code platform with comprehensive capabilities and support for the entire enterprise generative AI lifecycle. From ideation and experimentation to prompt design, task configuration, testing, monitoring, and optimization. We help prevent vendor lock-in and offer the flexibility to easily switch between inference providers and models.
Unlimited generative AI use cases
Customers can explore multiple use cases in parallel, reducing the need to serialize each use case individually, while we provide a seamless UI and UX.
Comprehensive data privacy, security, compliance and auditing
Vertesia's guard rails, data controls, and auditing capabilities ensure our customers can limit and manage how and where their data is being used, maintain adequate access control, and perform version control.
Embedded LLM monitoring and task management capabilities
Vertesia gives organizations vital visibility into their LLM-powered tasks, offering real-time performance insights, recommended optimizations, and the ability to implement updates remotely.
Seamless incorporation of new inference providers and models
Vertesia customers easily leverage new inference providers and LLMs without considerable refactoring, retraining, or reconfiguration. Our customers can adapt to new and emerging capabilities and models in a lightweight, often zero-touch way.
Visual workflow designer for agentic orchestration
Built on Temporal, a state-of-the-art durable execution platform, Vertesia offers robust workflow and orchestration capabilities that ensure service durability and scalability. Create, edit, test, run, and monitor diverse agentic workflows, boosting efficiency and transparency.
Content and data prep for RAG
The key to accurate and successful output, lies in the input. Vertesia optimizes asset intake through automatically applying metadata, transcoding images and video, and performs smart chunking - breaking up long data sets in ways that preserve context. These intake steps ensure AI models work efficiently so that you can retrieve, analyze, and repurpose content.
Vertesia has the architecture to support multiple teams, use cases, models, inference providers, and more - all within one UI. Governance, security, orchestration, virtualization, fine-tuning, workflows, agentic RAG, multiple integration and deployment options, collaboration, analytics, and monitoring are are built into the product.
Watch a demo of Vertesia
The examples above illustrate the transformative power of generative AI on various enterprise functions. By leveraging the Vertesia platform, organizations can automate complex processes, enhance decision-making, and deliver personalized experiences, ultimately driving efficiency and innovation in their business solutions.