Cloud agent sandbox with persistent filesystem and on-demand compute
The continual learning engine for AI agents
Stage
MVP
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Freemium
Pricing
Compute: $0.015 per GiB-hour (approximately $0.000004167 per GiB-second, billed by the second). Storage: $0.02 per GiB-month for retained incremental RootFS data and memory checkpoints. Network ingress and egress currently free. Object-store GET and PUT requests free. New users receive $5 free credi
RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
Automatic filesystem growth as storage fills
Pause compute without losing work or paying compute charges
Resume to same environment on demand
Access files while paused without waking compute
Public HTTP services with auto-resume capability
Command-line interface (s0 CLI) for agent-native workflows
Incremental checkpoints to avoid full filesystem copies
Scoped API keys and team-based access controls
On-demand file reads without downloading entire filesystem
Capture signals from code, requirements, and production traces
Build and maintain EvalsWiki as versioned behavioral knowledge
Find missing eval coverage and unclear expectations
Generate complete evals with scenarios, environments, and evaluators
Optimize harness across prompts, tools, workflows, and code
Multi-objective optimization for quality, cost, latency, and KPIs
Model selection, migration, and routing with evaluation
Regression-controlled improvement with evaluation evidence
Versioned storage in repository with pull requests
What makes it different
Persistent filesystem across pause/resume without duplicating data
Pay only for compute time used; paused sandboxes have zero compute charges
Automatic filesystem growth so agents can install and persist unlimited tools
Same API for both human users and AI agents
Turns failures into replayable learning environments
Prevents regressions by keeping previous evals in the loop
Integrates with existing observability stacks and traces
Preserves business intelligence versioned in repository
Adapts harness to model changes without redefining use cases