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Sandbox0 vs RELAI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Sandbox0 compared with RELAI
Detail Sandbox0RELAI logo RELAI
What it doesCloud agent sandbox with persistent filesystem and on-demand compute The continual learning engine for AI agents
StageMVP Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelPaid Freemium
PricingCompute: $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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)16 +1 (up) since last check23 no change since last check
Trust Flow (Majestic)513
Citation Flow (Majestic)2125
Referring domains (Majestic)1779

5 details filled in for both companies.

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