Enterprise AI Consulting & Governed Agent Deployment
We engineer Sovereign Intelligence. Replace rented APIs with custom, governed AI systems that run on your infrastructure.
Model-agnostic infrastructure ensures you're never locked into a single LLM. Deploy Llama 3, Mistral, or Granite within your firewall - switch anytime.
Engineered on Enterprise Standards
Proprietary Architecture
SAP Modernization
The only VS Code Copilot engineered for S/4HANA Migration. We index your ABAP stack locally to map dependency trees and generate unit tests without cloud data leakage.
Rflow™ Engine
Our internal orchestration framework. We use Rflow to build Self-Healing Agentic Workflows for clients. It enforces human-in-the-loop gates and RIF-7 auditability by design.
Proprietary Platforms
We don't just advise. We build the engines that run your AI.
Rflow™ Orchestrator
The central nervous system for enterprise AI agents. Manage workflows, approvals, and audit logs in one visual interface.
The Lifecycle of Intelligence
We do not just write code. We manage the full loop - from Strategic Discovery to Governed Deployment.
Discovery & Strategy
Data Engineering
Models are only as good as their context. We build ELT pipelines to feed Vector Databases (Pinecone/Weaviate) with clean, semantic embeddings.
- Unstructured Data Processing
- Synthetic Data Gen
- Knowledge Graphs
Model Engineering
Moving beyond generic chatbots. We fine-tune open-weights models (Llama 3, Mistral) and code specific tools (API actions) for the AI to execute.
- Prompt Orchestration
- Fine-Tuning (PEFT/LoRA)
- Tool Creation
Deployment & MLOps
Production is harder than prototypes. We use Shadow Mode (Silent Testing) to grade agent accuracy alongside humans before live release.
- Shadow Mode Deployment
- Drift Detection
- Latency Optimization
Governance & Evolution
Safety is not optional. We implement Red Teaming (Adversarial Testing) and XAI dashboards to ensure full compliance with EU AI Act/NIST.
- Red Teaming
- RLHF Loops
- Explainability (XAI)
Sovereign vs. Public AI
Why regulated enterprises choose Ryzolv's owned infrastructure over rented APIs.
| Feature | Ryzolv Sovereign AI | Public Cloud APIs |
|---|---|---|
| Data Residency | Your VPC / On-Prem | Vendor Servers |
| Audit Logs | Full Chain of Thought | Opaque / Black Box |
| Model Ownership | 100% Yours (Fine-tuned) | Rented (Zero IP) |
| Cost Scaling | Flat / Predictable | Per-Token (Unpredictable) |
AI Consulting Glossary
Common terms we use to define the Sovereign AI landscape.
- RIF-7 Framework
- Responsible Intelligence Framework. Our proprietary 7-pillar governance methodology ensuring AI readiness, identity management, and forensic auditability.
- Sovereign Infrastructure
- Computing environments (VPC or On-Premise) completely owned by the client, ensuring data never leaves the corporate firewall during AI inference.
- Fine-Tuning
- The process of adapting open-weights models (like Llama 3) on proprietary enterprise data to increase accuracy and reduce hallucinations without API leakage.
- Shadow Mode
- A deployment strategy where AI agents run in parallel with human operators to validate decision accuracy before being granted autonomous execution rights.
Common Questions
- AI Strategy Consulting: Map high-ROI use cases.
- Model Fine-Tuning: Specialize generic models on your data.
- AI Governance: Build compliance frameworks (RIF-7).
- Agent Deployment: Deploy autonomous agents in production.
- Infrastructure: Secure cloud/on-premise hosting.
- Discovery (6 weeks): Identify opportunities, design blueprint.
- Development (8-16 weeks): Data pipeline, model fine-tuning.
- Deployment (4-8 weeks): Shadow mode testing, rollout.
- Governance (ongoing): Monitoring, RLHF loops, auditing.
Ready to Engineer Sovereign Intelligence?
Stop renting intelligence. Start owning it. Deploy Rflow™ agents on your infrastructure with governance built-in from day one.