Vertesia Documentation: Engineering Reliable Generative AI for the Enterprise
A Unified, API-First Platform for Architects and Developers to Build, Deploy, and Scale Specialized AI Agents and Applications with Unparalleled Accuracy and Operational Resilience.
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Integrate Vertesia features with your existing systems and data sources.
Addressing Critical Challenges in Enterprise GenAI
Enterprise generative AI initiatives often stall in production due to inherent technical complexities.:
LLM Hallucinations & Data Fidelity: Achieving enterprise-grade accuracy (beyond 95%) is critical. Generic LLMs struggle with factual consistency, leading to unreliable outputs that undermine trust in mission-critical applications.
Complex & Time-Consuming Data Preparation: Up to 50% of GenAI development time is consumed by preparing unstructured enterprise data for Retrieval-Augmented Generation (RAG) pipelines, delaying time-to-market.
Operationalizing at Scale: Moving from Proof-of-Concept (PoC) to production-ready GenAI solutions is a significant hurdle due to integration complexities, scalability demands, and lack of robust deployment frameworks.
Architectural Resilience & Security: Designing AI systems that are secure, compliant (e.g., SOC2 Type II), and resilient against model failures or provider lock-in requires sophisticated architectural patterns and robust governance.
Vendor Lock-in & Model Agnosticism: Enterprises need flexibility to integrate with diverse LLMs and cloud infrastructures without being tied to a single provider."
Vertesia: A Robust Platform for Enterprise GenAI
Vertesia provides the foundational capabilities and architectural patterns necessary for building reliable, scalable, and secure generative AI applications and agents.
Semantic DocPrepâ„¢: Precision RAG via Structured XML: Our agentic API service intelligently transforms complex, unstructured enterprise documents (e.g., reports, regulatory filings) into richly structured, semantically tagged XML. This ensures LLMs receive high-fidelity, contextualized data, dramatically improving RAG accuracy and and reducing hallucinations.
Virtualized LLMs: Resilient & Optimized Inference: Connect to and orchestrate workloads across multiple LLM providers and models (AWS, GCP, Azure, OpenAI, etc.). Our virtualized LLM layer provides dynamic failover for continuous uptime, intelligent load balancing for cost/performance optimization, and continuous fine-tuning capabilities.
Durable AI Orchestration:: Design and orchestrate long-running AI agents and workflows, from minutes to days. Our platform preserves the state of generative processes and agentic decisions, ensuring reliable resumption after system failures or network interruptions. This capability is critical for maintaining consistency, preventing data loss, and enabling robust, extended AI tasks in production environments.
Enterprise-Grade Security & Governance by Design: Built with SOC2 Type II compliance, flexible data residency options, bias mitigation tools, and end-to-end auditability. Deploy on-premises, in your private cloud, or via our multi-cloud SaaS for stringent security and regulatory adherence.
Simplified and Accelerated Development: We abstract away the complexities of infrastructure management, letting you zero in on what matters: designing and executing production-ready Agentic AI workflows. With Vertesia, you'll use straightforward code and configuration to build sophisticated AI pipelines, dramatically accelerating your development cycle. Focus on the logic and intelligence of your agents, not on provisioning services or managing dependencies.