Why NVIDIA H100 SXM Matters for Modern AI Workloads
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Personalize, Predict, and Convert
– with Production-Grade AI
Neysa Velocis equips eCommerce and digital-first retail brands with cloud-native infrastructure to build, scale, and optimize AI features that drive revenue and retention.
AI Features That Improve CX
Without Slowing Your Stack
eCommerce leaders are investing in real-time recommendations, pricing intelligence, and churn prediction. But scaling these features is often slowed by:
- Complex, multi-service cloud setups
- High GPU and inference costs on hyperscalers
- Integration overhead with production systems
- Lack of observability into AI performance and ROI
Neysa Velocis simplifies and accelerates your roadmap with one platform optimized for retail and digital commerce AI.
From MVP to Production in Weeks – Not Quarters
Neysa Velocis gives product, engineering, and data teams a retail-ready AI platform that:
Pre-Built Retail Models
Plug-and-play templates built with our ISV partners, for recommendations, LTV, & pricing.
Real-Time Inference
Scale predictions to millions of users with sub-300ms latency.
Multi-Channel Integration
Serve models via APIs, CDPs, mobile SDKs, and batch jobs.
Usage-Based Costing
Pay only for what you use. Budget-friendly experimentation.
Privacy by Default
DPDP-aligned with region control and audit logs.
Deploy AI That Moves Metrics
Product Recommendations
Boost AOV and conversion.
Dynamic Pricing
Adapt offers to customer context in real-time.
Inventory Forecasting
Optimize supply and demand at every node.
Churn Prediction & Retention
Reduce drop-off with proactive targeting.
AI Search & Visual Discovery
Improve findability and engagement.
Your Growth Stack
Not Just Another Cloud
Retail-Tuned AI
Use models optimized for browse, cart, and LTV workflows.
Observability Tools Built-In
Track model performance and business lift on one platform.
No DevOps
Required
ML engineers and PMs can own the full lifecycle with low-code/no-code.
Composable Infrastructure
Mix and match tools with no vendor lock-in.
