What is Vertesia?
Vertesia provides a comprehensive, low-code environment designed to accelerate the development and deployment of generative AI (GenAI) applications and intelligent agents within enterprise settings. It empowers both IT and business teams to create sophisticated AI solutions efficiently, moving from concept to production in days rather than months. This approach helps organizations automate complex processes, gain new insights, reduce operational costs, and scale their AI initiatives effectively while maintaining control and consistency.
The platform features a user-friendly interface, simplifying GenAI development and speeding up time-to-market. Its API-first architecture ensures seamless integration capabilities via REST APIs. Vertesia supports multiple large language models (LLMs) from leading providers and incorporates an advanced agentic retrieval-augmented generation (RAG) pipeline to improve AI accuracy. Security is paramount, with SOC2 Type II compliance and flexible deployment options on major cloud providers (AWS, GCP, Azure) or within a Virtual Private Cloud (VPC). Furthermore, it offers robust tools for governance, compliance monitoring, auditability, and specialized data preparation for complex documents and rich media used in RAG processes.
Features
- Unified Low-Code Platform: Enables rapid development and operation of GenAI apps and agents for IT and business users.
- Multi-Model Support: Out-of-the-box connectivity for various LLM families and inference providers.
- Agentic RAG Pipeline: Enhances generative AI accuracy and performance through advanced retrieval-augmented generation.
- Enterprise-Grade Security: SOC2 Type II compliant platform deployable on major clouds (AWS, GCP, Azure) or VPC.
- Governance & Auditability: Provides observability for in-production apps to support audits, compliance, and governance requirements.
- API-First Integration: Ensures easy integration of developed apps/services via REST APIs.
- Data & Content Preparation: Offers capabilities for processing complex documents and rich media for RAG.
- Interaction Composer & Prompt Designer: Tools for defining tasks, outputs, prompts, and managing LLM interactions.
- Monitoring & Analytics: Tracks task execution and performance of interactions and models.
Use Cases
- Developing custom generative AI applications for enterprise use.
- Building and deploying intelligent AI agents for specific business tasks.
- Automating complex business processes using generative AI.
- Improving insights and decision-making through AI analysis.
- Scaling AI initiatives across an organization with consistent governance.
- Reducing the time and cost associated with developing and operating AI solutions.
- Integrating LLM capabilities into existing enterprise applications.
FAQs
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What is a 'run' in Vertesia?
Runs are the execution of an interaction, encompassing both the request sent to and the response received from the generative model. -
What are 'environments' in Vertesia?
Environments are spaces within Vertesia where users connect to AI model and inference providers using their specific API keys. -
What deployment options are available?
Vertesia primarily offers SaaS deployment. Self-managed and Dedicated SaaS options are available for higher-tier plans like Enterprise. -
What kind of support is offered?
Support options vary by plan, including Email support for Pro/Expert, and Email, Chat, and Phone support with premium SLAs and dedicated Customer Success for Enterprise plans. Community support is provided for the Free Trial. -
Can Vertesia handle complex documents for AI processing?
Yes, Vertesia provides capabilities for data and content preparation, including patented patterns for effectively processing complex, long-form documents and rich media, particularly for retrieval-augmented generation (RAG).
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