| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| Cloud agents you can watch, on the AI you already pay for
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
| Free plan with 20 credits/month (about 4 hours of machine time). Starter at $30/mo with 400 credits/month (about 80 hours). Pro at $75/mo with 2,000 credits/month (about 400 hours). Max at $120/mo with 4,000 credits/month (about 800 hours). 1 credit equals 12 minutes on default Small devbox. Medium
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| Key features | - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
| - Watch cloud agents in real-time with live terminal and file tree
- Automated PR reviews with before/after screenshots
- Video recording of agent actions
- Scheduled automations daily or weekly
- Live port previews for each port the agent opens
- REST and WebSocket API for tasks and automations
- Isolated Firecracker microVMs per task
- Skills from repository SKILL.md files
- Reply by email to pause and resume agent tasks
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| What makes it different | - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
| - Open devboxes you can watch, not sealed boxes
- Runs on your own AI provider account with no second bill
- Pay only for compute, with no per-task fees or surprises
- Code never used for training
- Machines destroyed after use, never reused
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 11 ▲ +2 (up) since last check | 31 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 7 |
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| Citation Flow (Majestic) | 20 | 22 |
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| Referring domains (Majestic) | 22 | 48 |
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Seclai
Aether