Turning enterprise knowledge into intelligent action
At its core is an intelligent Planner Agent that interprets user intent, decomposes complex requests, and coordinates specialized agents including SQL, API, Document, Telemetry, and Report Generation Agents to retrieve facts, perform calculations, generate recommendations, and take informed action. This agentic architecture transforms disconnected data into context-aware workflows that continuously learn from user interactions and outcomes.
95%
Faster Insight-to-Action Cycle
Agentic orchestration compresses multi-step analysis and decision workflows from hours to minutes, transforming how teams move from data discovery to action execution
90%
Reduction in Manual Data Handling
Automated retrieval, reasoning, and document synthesis eliminate repetitive search, formatting, and validation tasks freeing engineers, analysts, and legal teams to focus on outcomes
6-Seconds
Average Response Time Across Multi-Agent Queries
Optimized through DSPy prompt tuning and AWS-native scaling, complex natural-language queries return context-aware answers in near real time, even across millions of data points
85%
Improvement in Data-to-Decision Reliability
By unifying structured and unstructured data sources through intelligent agent orchestration, organizations achieve consistent, auditable, and explainable results, ensuring every insight and action is grounded in verified enterprise knowledge
A modular, AWS-native platform where intelligent agents transform enterprise knowledge into informed action.
At the core of the platform is a Planner Agent that interprets user intent, decomposes complex requests, and dynamically coordinates specialized agents — including SQL, Document, API, and Report Generation Agents to deliver complete, context-rich answers and actions.
Connects seamlessly to databases, APIs, and document repositories, enabling unified access to structured (SQL, telemetry) and unstructured (contracts, PDFs, reports) data without duplication or manual preparation.
Extends beyond retrieval into actionable automation — agents can trigger workflows, generate reports, recommend optimizations, or summarize decision paths, accelerating operational outcomes.
The modular design supports domain-tuned extensions from Legal Clause Extraction and Operational Telemetry Analysis to Healthcare Summarization and Sales Data Insights enabling rapid customization and scalability.
Empowers users to ask questions in plain English and receive accurate, explainable responses — supported by Retrieval-Augmented Generation (RAG), schema validation, and context-based reasoning powered by Amazon Bedrock and Claude models.
Built with DSPy-driven optimization, the system improves its reasoning chain, prompt structure, and query efficiency based on real-world usage — resulting in progressively smarter and more context-aware interactions.
Every answer and action is traceable to its source, with metadata-driven reasoning chains that promote trust, transparency, and verifiable decision support for regulated environments.
Deployed across AWS Bedrock, RDS PGVector, DynamoDB, ECS/Fargate, and CloudFront, the platform ensures privacy, governance, and resilience, meeting enterprise and regulatory requirements across industries.
At the core of this solution is a network of autonomous, goal-driven agents capable of independently retrieving, reasoning over, and applying knowledge to make informed decisions. These agents dynamically navigate complex data ecosystems — extracting facts, validating context, and synthesizing insights in real time.
By continuously learning and adapting, they enable knowledge discovery, contextual decision-making, and resource optimization across domains. This agent-driven approach delivers an adaptive, intelligent edge for solving complex, data-driven challenges with speed, accuracy, and explainability.
Agentic AI Platform FAQ
The Agentic AI Knowledge & Action Platform is an AWS-deployed system that connects your organization’s structured and unstructured data—databases, APIs, telemetry, and documents—into a single intelligent environment.
It uses a network of autonomous agents that not only retrieve information but also reason, generate insights, and perform actions, helping teams move from data access to decision execution in seconds.
Traditional RAG systems answer questions based on retrieved content.
The VividCloud platform goes beyond retrieval by introducing agent orchestration—a Planner Agent coordinates specialized agents (SQL, API, Document, Telemetry, and Report Generation) that reason over data, validate results, and even trigger downstream workflows.
This enables context-aware decisions, dynamic automation, and continuous learning rather than static information lookup.
Each agent is purpose-built for a domain of expertise:
The system incorporates metadata-driven reasoning and fact validation. Every response can be traced back to its source, with reasoning steps logged for auditability.
DSPy-based prompt optimization and agent correctness testing continually refine performance, while human-in-the-loop validation supports quality assurance where needed.
The platform is fully cloud-native, built on:
This architecture ensures scalability, compliance, and operational resilience across industries.
Security is foundational. All components reside within your AWS environment, protected by IAM-based access control, VPC isolation, and encryption at rest and in transit.
Cognito with SSO integration ensures authenticated access, while Bedrock’s managed model endpoints guarantee that private data never leaves your AWS boundary.
Thanks to AWS auto-scaling and DSPy-optimized prompt management, users experience sub-6-second response times even across millions of data points.
Workflows that previously required hours of manual analysis can now be completed in minutes or less, with measurable gains in accuracy and consistency.
Each interaction feeds a continuous learning loop.
Agents observe successful queries, refine prompt strategies, and surface new facts for human validation.
This self-improving behavior allows the system to grow smarter and more aligned with organizational context over time.
VividCloud provides end-to-end deployment and tuning:
Our AWS-certified engineers and solution architects ensure a smooth path from pilot to production.
Contact VividCloud to schedule a consultation or proof of concept. As an AWS Advanced Tier Partner, we may be able to offer AWS-funded PoCs to qualified clients.
Solution Brief
Frequently Asked Questions
AWS Architecture
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