Real-Time Pipeline Monitoring
Track every data flow with sub-millisecond latency. Get alerts before your users notice.
Real-time data infrastructure for AI teams. Monitor pipelines, optimize models, and deploy with confidence — all in one platform.
Most infrastructure was built before the AI era. We're building for what comes next.
Traditional ETL breaks silently. You discover issues hours later when dashboards go dark.
Scattered logs across 12 services. No single pane of glass for your ML infrastructure.
Infrastructure that works at 1K requests crumbles at 100K. Rebuilding under pressure is not a strategy.
Powerful infrastructure designed for ML engineers, not just data analysts.
Track every data flow with sub-millisecond latency. Get alerts before your users notice.
Vaultix learns your data patterns and flags drift, outliers, and failures automatically.
SOC 2 Type II certified. End-to-end encryption at rest and in transit.
Native vector search for embeddings. No external dependencies required.
0M+
Events/Second
0%
Uptime SLA
0B+
Records Processed
0%
Growth
[ how it works ]
From zero to production in three steps
Step 1
Point Vaultix at your data sources. We ingest from 50+ databases, APIs, and streaming platforms.
50+ pre-built connectors for databases, APIs, and streams
Auto-discovery of schemas and data types
No-code setup, ready in under five minutes
Step 2
Track every event in real time. Vaultix watches latency, throughput, and data quality across your entire stack — automatically.
Real-time pipeline metrics and alerts
AI-powered anomaly detection out of the box
Unified dashboards across your stack
Step 3
Push to production with one click. Auto-scaling, rollbacks, and zero-downtime deploys built in.
One-click deployment to production environments
Automatic scaling based on workload
Safe rollbacks with version control
[ Testimonials ]
Trusted by teams shipping AI products at scale.
"Vaultix cut our pipeline debugging time by 80%. We shipped our ML model to production in days, not months."
Priya Mehta
Staff Engineer, Arcline
"The anomaly detection alone saved us 20 hours per week. Our on-call engineers can sleep again."
Kadin Korsgaard
VP Engineering, Lumen Labs
"Finally, infrastructure that scales with us. We went from 10K to 2M daily events without a single config change."
Dulce Baptista
ML Platform Lead, Cipher Stack
"We replaced four disconnected tools with Vaultix. Less context-switching, better signal — and a single place to debug when something breaks."
Jaxson George
Head of Data, Northwind AI
[ blogs ]
Engineering insights, product updates, and deep dives into AI infrastructure.
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