Research-backed education and tools for securing autonomous AI agents
Stage
Not given
Startup
Founded
Not given
2025
Based in
US
US
Pricing model
Paid
Paid
Pricing
Starter plan is free with $30/month compute credits. Team plan is $250/month plus compute. Enterprise plan is custom. Compute is billed per second for CPU, GPU, and memory with no charges for idle time.
Not given
Key features
Serve LLMs, image, video, and audio models
Isolated environments for coding agents and RL rollouts
Fine-tune and train models on GPUs
Autoscale compute from zero to thousands of GPUs
Distributed storage for models and weights
Global capacity across 20+ clouds
Serverless functions with HTTPS endpoints
Out-of-the-box observability and logs
AgentGuard360 dashboard and Agent Proxy Tool Interface
Supply chain protection blocking 11,000+ known malicious pip and npm packages
14-phase device hardening scans with predictive risk analytics
Machine-learning-aided runtime scanning of agent content
Jailbreak detection and prompt injection prevention
Privacy-first architecture keeps data on device by default
500+ model pricing with budget tracking
Protection SDK with single function call content scanning
Learning Center with guides, how-tos, and CVE analysis
Original research on agentic AI and LLM cost optimization
What makes it different
Custom infrastructure built for AI including container runtime, storage, and scheduler
Sub-second container startup times for GPU workloads
Pay only by the second with no idle charges
Programmatically create millions of concurrent sandboxes
No PhD in security required to protect AI agents
Free resources and research with optional paid tools