Security platform for governing and protecting enterprise AI agents
Production AI at enterprise scale
Stage
Not given
Established
Founded
Not given
2016
Based in
ES
US
Pricing model
Not given
Contact for pricing
Pricing
Free plan: $0/month with 100,000 requests/month. Standard plan: $49/month with $49 usage credit included and $0.0003 per request beyond included credit. Enterprise plan: Custom pricing with committed volume and discounts. Additional features priced separately: Smart routing at $0.0002 per execution,
Flexible subscription, term, and perpetual licensing models. Organizations switching from conventional architectures see 60-80% reduction in total infrastructure cost. CPU-based pricing with no incremental ETL costs.
Key features
Agent Posture Management
AI Red Teaming
Prompt injection protection
Multi-turn injection protection
PII & secret detection
<100 ms latency real-time enforcement
On-premise, SaaS, or hybrid deployment
Split-plane architecture for data sovereignty
AI on Enterprise Data - bring AI directly to governed enterprise data at petabyte scale
Security - built-in controls for access, governance, and compliance
Deployment Options - cloud, on-premises, or hybrid deployment flexibility
Data Ingest - continuously ingest and prepare high-volume data for AI-ready analytics
Query Optimization - run complex analytics on petabytes of data with predictable performance
Semi-Structured Data - give AI richer context with structured and semi-structured data in one platform
Megalane Parallelism - sub-second queries at petabyte scale
Zero Copy Reliability - no data duplication or redundant storage overhead
Compute Adjacent Data Store - computation happens where data lives
Smart Data Pipelines - continuously governed data pipelines replace manual ETL
What makes it different
Handles 20K+ requests per second per node with linear scaling
Unified policy enforcement across homegrown, third-party SaaS, and endpoint deployments without custom integration work
Petabyte-scale performance without moving or duplicating enterprise data
60-80% reduction in infrastructure costs compared to conventional architectures
Production-grade AI delivery with expert implementation and solutions delivery teams
Flexible licensing models aligned to how enterprise AI programs actually scale
Unified platform for ingest, governance, query execution and optimization