Engineered for Enterprise Performance, Security, Scalability, and Trustworthy AI
Discover the robust, scalable, secure, and transparent architecture underpinning the RubiCore Agentic AI platform – designed for demanding enterprise environments and responsible AI innovation.
Modular, Scalable, Resilient, and Explainable by Design.
RubiCore is built on a modern, event-driven microservices architecture designed for reliability, independent scalability of components, and maintainability. Key services like the Low-Code/Pro-Code Agent Studio, the Intelligent Orchestration Engine, specialized Agent Runtimes, the Secure Integration Hub, Governance & XAI Services, and Monitoring & Learning Services operate independently yet cohesively, communicating via optimized internal APIs (REST, gRPC) and message queues. This separation of concerns allows for horizontal scaling under load (e.g., auto-scaling Agent Runtimes), targeted updates, and high availability. The architecture supports flexible deployment models (on-premise, private/public cloud, hybrid, edge) and incorporates security and explainability at every layer. This ensures RubiCore delivers cloud-native performance and resilience, with the transparency expected for enterprise AI.
Detailed technical architecture diagram - showing event-driven microservices, connections to databases, vector stores, knowledge graphs, external LLMs, human collaboration interfaces, and edge deployments.
Built on Proven, Cutting-Edge Technologies for Advanced Agentic Functionality
Our tech stack balances innovation with enterprise-grade stability and performance:
High-performance, asynchronous APIs. Internal communication leverages gRPC and message queues (e.g., Kafka/RabbitMQ) for resilient, scalable event-driven interactions.
Incorporates LangChain, LlamaIndex, and other agentic AI frameworks and research for orchestrating LLM calls, dynamic tool use, multi-step reasoning (planning, reflection, self-critique (all capabilities Coming Soon)), and managing complex agent behaviors.
Our state-of-the-art contextual understanding and retrieval systems provide agents with unmatched precision and intelligence. This multi-layered memory architecture includes: Short-Term/Working Memory (Redis), Long-Term Episodic & Semantic Memory (Vector DBs like Weaviate, Pinecone, Milvus), Structured Knowledge Memory (Knowledge Graphs like Neo4j), Procedural Memory (Planned for 2025), Consensus Memory (Planned for 2025), Buffer/Scratchpad Memory. Agentic Retrieval Augmented Generation (RAG) dynamically retrieves context-rich content. Universal File Type Processing feeds into memory systems. Agent Context Awareness enables accurate decision-making and aims to reduce hallucinations.
For structured configuration data, audit logs, and relational metadata supporting the overall memory and operational framework.
Responsive, intuitive web applications for the Agent Studio & User Interfaces.
Containerized applications orchestrated with Kubernetes, enabling consistent deployments across environments and robust scaling. Helm charts provided.
Comprehensive logging, monitoring, and alerting via integration with tools like Prometheus, Grafana, and the ELK Stack.
Comprehensive REST and GraphQL APIs, along with a primary Python SDK (others planned) enable deep integration and extensibility.
Leverage Any LLM, Securely, Responsibly, and Efficiently.
RubiCore embraces true model agnosticism and multi-model strategies for maximum flexibility, performance, and future-proofing. Seamlessly integrate with:
- Leading proprietary LLMs: OpenAI (GPT series), Anthropic (Claude series), Google (Gemini series), Cohere, and others via secure API connectors.
- Open-Source Models: Leverage models from Hugging Face, Llama series, Mixtral, Falcon, etc., deployable on your own infrastructure or within RubiCore's managed environment.
- Custom & Fine-Tuned Models: Bring Your Own Model (BYOM) or utilize RubiCore's capabilities (or integrations with partner platforms) to fine-tune models (capabilities Coming Soon) on your specific data for specialized tasks, ensuring IP protection and optimized performance.
Our architecture allows you to assign different models to different agents or even different steps within an agent's workflow, based on cost, performance, and capability requirements. All model interactions are managed within RubiCore's governance framework: Secure Credential Management, Prompt Engineering Suite, Data Governance, Auditability, Performance Monitoring, Cost Optimization, and Local/Private LLM Hosting Support. This flexible, governed, and optimized approach ensures you get the best of all AI models while maintaining control, compliance, and cost-effectiveness.
Leading Proprietary LLMs
Secure API connectors for OpenAI (GPT series), Anthropic (Claude series), Google (Gemini series), Cohere, and others.
Open-Source Models
Leverage models from Hugging Face's vast model hub and inference infrastructure for diverse NLP, CV, and audio tasks. Access pre-trained models or deploy fine-tuned custom solutions seamlessly.
Custom & Fine-Tuned Models (BYOM)
Bring Your Own Model (BYOM) or utilize RubiCore’s capabilities (or integrations with partner platforms) to fine-tune models (capabilities Coming Soon) on your specific data.
Secure Credential Management
For accessing model APIs.
Prompt Engineering & Management Suite
Tools for crafting, versioning, and optimizing prompts. [New - capabilities Coming Soon]
Data Governance for Model Interactions
Mask sensitive data before sending to external APIs, enforce data residency for prompts and responses.
Auditability
Log all model inputs and outputs (configurable for privacy).
Model Performance Monitoring
Track latency, token usage, and output quality. [New - capabilities Coming Soon]
Cost Optimization
Tools to select cost-effective models for specific tasks and monitor overall LLM spend. [New - capabilities Coming Soon]
Local/Private LLM Hosting Support
Facilitate the deployment and management of LLMs entirely within your on-premise or private cloud environment. [New - capabilities Coming Soon]
Amazon SageMaker Integration
Build, train, and deploy machine learning models at scale with Amazon SageMaker. From data labeling to model hosting, SageMaker provides a comprehensive suite of tools for the entire ML lifecycle. RubiCore's architecture is designed to integrate with SageMaker for robust MLOps.
RubiCore connecting to various LLM providers, open-source models, and local/private models through a governance, security, and optimization layer.
Empowering Developers to Extend, Integrate, and Innovate with a Rich Toolset
We understand that enterprise AI solutions must be adaptable and deeply integrated. RubiCore offers a comprehensive suite of developer tools:
Programmatic access to nearly all platform capabilities – agent creation and management, workflow orchestration, data integration, monitoring, governance controls, etc. Enables CI/CD for agentic applications (AI-as-Code).
An intuitive, well-documented SDK for Python developers to build custom agents, complex reasoning logic, new tools/skills, and automation scripts. (SDKs for other languages like Java, C#, Node.js are on the roadmap - capabilities Coming Soon).
Define reusable skills (Agentic Skill Builder capabilities Coming Soon) and easily integrate custom tools (e.g., proprietary algorithms, internal APIs, legacy system interfaces) that agents can discover and utilize.
A command-line interface for managing agents, workflows, and platform configurations, facilitating automation and scripting for DevOps. [NEW - capabilities Coming Soon]
A sandboxed environment to simulate agent behaviors, test multi-agent interactions, validate workflows, and assess the impact of changes before production deployment. Supports synthetic data generation for testing. [NEW - capabilities Coming Soon]
Extensive documentation, tutorials, API references, SDK guides, and best practice articles.
A dedicated forum for developers to ask questions, share solutions, contribute to an evolving library of community-created tools and agent templates, and interact with the RubiCore engineering team. [NEW - capabilities Coming Soon]
Best practices and tools for managing agent configurations, prompts, and custom code in conjunction with standard version control systems like Git. [New - capabilities Coming Soon]
Deploy Your Way, Scale with Confidence: On-Premise, Cloud, Hybrid, and Edge.
RubiCore’s containerized, microservices-based architecture offers unparalleled deployment flexibility and scalability:
Install the entire RubiCore platform within your data centers or on air-gapped networks for maximum control, security, and data sovereignty. Ideal for highly regulated industries.
Deploy into your existing virtual private cloud environments on AWS, Azure, GCP, or other providers, maintaining network isolation and control.
A secure, multi-tenant or single-tenant managed RubiCore instance, handling uptime, scaling, and updates, allowing you to focus on building and deploying agents.
Strategically combine on-premise/private cloud components (e.g., for sensitive data processing, custom model hosting) with cloud-based services through secure, encrypted connections.
Deploy lightweight agent runtimes or specific specialized agents to edge devices or local servers for low-latency processing, offline capabilities, or localized data interaction. [NEW - capabilities Coming Soon]
Designed for and deployable on Kubernetes clusters (EKS, AKS, GKE, OpenShift, or self-managed K8s), leveraging Helm charts for easy installation, configuration, and management. Supports auto-scaling.
Support for deploying in specific geographic regions to meet data residency requirements and minimize latency.
Streamlined update processes for both cloud and on-premise deployments, ensuring access to the latest features, performance improvements, and security patches with minimal disruption.
Engineered for Enterprise Demands: Scalability, Security, Extensibility, and Trustworthy AI
Dive deeper into the robust architecture and cutting-edge technology that power the RubiCore Agentic AI platform. Our engineers and solution architects are available to provide detailed technical presentations, architecture reviews, and discuss how RubiCore can integrate seamlessly and securely within your existing enterprise landscape. Request a technical deep-dive session or explore our developer resources.