| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| Standing AI teams that run whole business functions around the clock
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| Stage | Not given
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| Based in | Not given
| NZ
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| 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: 200 turns, 1 running team, up to 5 agents. Pay as you go: US$20 buys 2,000 turns. Starter: US$29/month with 2 running teams, up to 15 agents, 5,800 agent turns monthly. Business: US$99/month with 5 running teams, up to 50 agents, 19,800 agent turns monthly. Company: US$399/month with 20 runnin
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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
| - Shadow mode for verification before live operation
- Learns from documents, help centres and past tickets
- Hard spending caps per team and job
- Works with 102+ integrations
- Kill switch to stop any team
- Approval workflows for risky actions
- Team memory and learning across jobs
- MCP server and REST API for AI agents
- Encrypted credential storage per connection
- 26+ ready-made teams for different functions
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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
| - Teams learn from your actual business documents and past work, not generic templates
- Shadow mode proves capability before autonomous operation
- You bring your own model key and pay providers directly, no markup
- Granular security controls: ask-before actions, credentials encryption, kill switches
- Works with AI agents through MCP or REST API
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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) | 12 ▲ +1 (up) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 20 | 18 |
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| Referring domains (Majestic) | 22 | 5 |
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Seclai
Jugg.ai