AI fails in production for predictable reasons. Rivargo fixes them before AI is deployed.
Most AI projects fail not because the models are bad, but because enterprise data, integrations, and environments were never made AI ready.
The Real Problem
AI demos succeed in clean sandboxes. Enterprises don’t run on sandboxes.
Most AI initiatives break down because:
- Fragmented data across systems
- Legacy ERP and CRM architectures
- Hybrid cloud and on-prem constraints
- Security and compliance blockers
- Multiple sources of truth
Rivargo fixes these issues before AI is deployed.
What Rivargo Does?
We Don’t Build AI Agents. We Make Them Work.
Rivargo prepares enterprise environments for AI in production:
- Data normalization and access
- System integration (ERP, CRM, operational tools)
- Environment design (cloud, on-prem, hybrid)
- Security and compliance readiness
We work where most AI projects break and fix it before deployment.
Who Is This For?
For
- PE-backed enterprises
- Mid market companies ($50M–$500M)
- CIOs/CTOs responsible for AI outcomes
- Companies tired of pilots that don’t scale
Not For
- AI demo shops
- Chatbot-only projects
- Early-stage startups
- “Plug-and-play” promises
Rivargo transformed our workflow, boosting efficiency and delivering remarkable ROI.
Dr. Emily Shaw
Chief Technology Officer
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