Trusted autonomy for industrial operations built on machine teaching
Stage
Not given
Not given
Founded
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Based in
US
US
Pricing model
Paid
Contact for pricing
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.
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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
60+ tools for data to autonomy
CLI and API access
MCP server for autonomous coding agents
Flexible compute deployment on cloud, on-premises, or edge
Dedicated supercomputer cluster infrastructure
12-week deployment timeline
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
Built on machine teaching methodology for systems that learn from human expertise
Proven ROI with documented industrial results up to $1.7M per year
Data never leaves your walls with on-premises deployment options
No-code platform for enterprise deployment without extensive technical expertise
AMESA