Enterprise AI Control Plane
Experience real-time multi-agent orchestration, automated RAG validation, and sub-second reasoning loops in a unified elastic canvas.
Connect and Control Any LLM
The enterprise control center for autonomous intelligence. Orchestrate local Ollama models, open-source giants, and cloud LLMs with native integration, real-time performance tracking, and unified governance.
Platform Capabilities
- Local Ollama Model Sync
- Connect Any Open-Source LLM
- Real-time Residency & VRAM Tracking
- Automated Multi-Model Comparison
Additional Product Walkthroughs
Included all provided recordings to ensure complete platform coverage for product, sales, and onboarding workflows.
Platform Brand Showcase
High-impact product narrative for executive demos and marketing campaigns.
Workflow Walkthrough (Session 1)
Hands-on walkthrough of orchestration flows, model routing, and control center interactions.
Workflow Walkthrough (Session 2)
Integrate with more than 1600 data sources.
Real-time Local GPU Observability
Maintain absolute control over edge intelligence. Track GPU residency, ANE power utilization, and unified memory allocation in real-time. Ensure your local LLM deployments are running with optimal throughput and thermal efficiency.
Unified Memory Monitoring
Track wired memory vs unified RAM usage for high-fidelity model performance.
Neural Engine Metrics
Monitor ANE utilization and power mix across CPU, GPU, and RAM.
Pillars of AI Orchestration
Manage all components of a scalable Agentic AI workflow seamlessly with high-resolution metrics and strict operational control.
Rules for AI Governance
Enforce strict operational guardrails with our 'Rules for AI' engine. Define mandatory R&A flows, suppress hallucinations, and adapt content for specific audiences across all your agents simultaneously.
- Mandatory R&A Flow (Plan -> Retrieve -> Act)
- Hallucination & Payload Suppression
- Targeted Audience Persona Adaptation
- Multilingual Policy Cascade Logic
Token Usage & Cost Control
Gain absolute transparency into your AI spend. Monitor token consumption by model and tool (qwen, gpt, local), track real-time dev metrics, and optimize throughput across your entire agentic stack.
- Model-Level Token In/Out Tracking
- Tool-Specific Usage Breakdown
- Real-time Event Volume Reporting
- Integrated Refresh & Custom Range Analysis
AI Response Quality Testing
Directly verify agent performance with our integrated testing suite. Send prompts, verify response accuracy, and generate precision reports to ensure your RAG pipelines meet enterprise standards.
- Bulk CSV Prompt Uploads
- Automated Response Validation
- Real-time Latency & Token Metrics
- Sub-second Prompt Response Analysis
Drive Edge Performance
Nextbrick Agentic AI Platform provides the surgical precision required to run high-performance AI at the edge, with the governance required by the enterprise.
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